Add Chinese documentation for CLI commands and workflows

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catlog22
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---
name: workflow-lite-plan
description: Unified lightweight planning skill with mode selection (Lite Plan, Multi-CLI Plan, Lite Fix). Supports exploration, diagnosis, multi-CLI collaboration, and shared execution via lite-execute.
allowed-tools: spawn_agent, wait, send_input, close_agent, AskUserQuestion, Read, Write, Edit, Bash, Glob, Grep, mcp__ace-tool__search_context
---
# Planning Workflow
Unified lightweight planning skill that consolidates multiple planning approaches into a single entry point with mode selection. Default mode: **Lite Plan**. All planning modes share a common execution phase (lite-execute).
## Architecture Overview
```
┌──────────────────────────────────────────────────────────┐
│ Planning Workflow Orchestrator (SKILL.md) │
│ → Parse args → Mode selection → Load phase → Execute │
└────────────┬─────────────────────────────────────────────┘
│ Mode Selection (default: Lite Plan)
┌────────┼────────┬──────────┐
↓ ↓ ↓ ↓ (shared)
┌────────┐ ┌────────┐ ┌────────┐ ┌────────────┐
│Phase 1 │ │Phase 2 │ │Phase 3 │ │ Phase 4 │
│ Lite │ │Multi- │ │ Lite │ │ Lite │
│ Plan │ │CLI Plan│ │ Fix │ │ Execute │
└────────┘ └────────┘ └────────┘ └────────────┘
│ │ │ ↑
└──────────┴──────────┴───────────┘
(all hand off to Phase 4)
```
## Key Design Principles
1. **Mode Selection First**: User chooses planning approach before any work begins
2. **Shared Execution**: All planning modes produce `executionContext` consumed by Phase 4 (lite-execute)
3. **Progressive Phase Loading**: Only load the selected planning phase + execution phase
4. **Auto-Continue**: Planning phase completes → automatically loads execution phase
5. **Default Lite Plan**: When no mode specified, use Lite Plan (most common)
## Auto Mode
When `--yes` or `-y`: Skip mode selection (use default or flag-specified mode), auto-approve plan, skip clarifications.
## Usage
```
Skill(skill="workflow-lite-plan", args="<task description>")
Skill(skill="workflow-lite-plan", args="[FLAGS] \"<task description>\"")
# Flags
--mode lite-plan|multi-cli|lite-fix Planning mode selection (default: lite-plan)
-y, --yes Skip all confirmations (auto mode)
-e, --explore Force exploration (lite-plan only)
--hotfix Fast hotfix mode (lite-fix only)
# Examples
Skill(skill="workflow-lite-plan", args="\"Implement JWT authentication\"") # Default: lite-plan
Skill(skill="workflow-lite-plan", args="--mode multi-cli \"Refactor payment module\"") # Multi-CLI planning
Skill(skill="workflow-lite-plan", args="--mode lite-fix \"Login fails with 500 error\"") # Bug fix mode
Skill(skill="workflow-lite-plan", args="-y \"Add user profile page\"") # Auto mode
Skill(skill="workflow-lite-plan", args="--mode lite-fix --hotfix \"Production DB timeout\"") # Hotfix mode
```
## Subagent API Reference
### spawn_agent
Create a new subagent with task assignment.
```javascript
const agentId = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/{agent-type}.md (MUST read first)
2. Read: .workflow/project-tech.json
3. Read: .workflow/project-guidelines.json
## TASK CONTEXT
${taskContext}
## DELIVERABLES
${deliverables}
`
})
```
### wait
Get results from subagent (only way to retrieve results).
```javascript
const result = wait({
ids: [agentId],
timeout_ms: 600000 // 10 minutes
})
if (result.timed_out) {
// Handle timeout - can continue waiting or send_input to prompt completion
}
```
### send_input
Continue interaction with active subagent (for clarification or follow-up).
```javascript
send_input({
id: agentId,
message: `
## CLARIFICATION ANSWERS
${answers}
## NEXT STEP
Continue with plan generation.
`
})
```
### close_agent
Clean up subagent resources (irreversible).
```javascript
close_agent({ id: agentId })
```
## Execution Flow
```
Input Parsing:
├─ Extract flags: --mode, --yes, --explore, --hotfix
└─ Extract task description (string or file path)
Mode Selection:
└─ Decision:
├─ --mode lite-plan (or no --mode flag) → Read phases/01-lite-plan.md
├─ --mode multi-cli → Read phases/02-multi-cli-plan.md
├─ --mode lite-fix → Read phases/03-lite-fix.md
└─ No flag + not --yes → AskUserQuestion (default: Lite Plan)
Planning Phase (one of):
├─ Phase 1: Lite Plan
│ └─ Ref: phases/01-lite-plan.md
│ └─ Output: executionContext (plan.json + explorations + selections)
├─ Phase 2: Multi-CLI Plan
│ └─ Ref: phases/02-multi-cli-plan.md
│ └─ Output: executionContext (plan.json + synthesis rounds + selections)
└─ Phase 3: Lite Fix
└─ Ref: phases/03-lite-fix.md
└─ Output: executionContext (fix-plan.json + diagnoses + selections)
Execution Phase (always):
└─ Phase 4: Lite Execute
└─ Ref: phases/04-lite-execute.md
└─ Input: executionContext from planning phase
└─ Output: Executed tasks + optional code review
```
**Phase Reference Documents** (read on-demand when phase executes):
| Phase | Document | Purpose |
|-------|----------|---------|
| 1 | [phases/01-lite-plan.md](phases/01-lite-plan.md) | Lightweight planning with exploration, clarification, and plan generation |
| 2 | [phases/02-multi-cli-plan.md](phases/02-multi-cli-plan.md) | Multi-CLI collaborative planning with ACE context and cross-verification |
| 3 | [phases/03-lite-fix.md](phases/03-lite-fix.md) | Bug diagnosis and fix planning with severity-based workflow |
| 4 | [phases/04-lite-execute.md](phases/04-lite-execute.md) | Shared execution engine: task grouping, batch execution, code review |
## Mode Selection Logic
```javascript
// Flag parsing
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
const modeFlag = extractFlag($ARGUMENTS, '--mode') // 'lite-plan' | 'multi-cli' | 'lite-fix' | null
// Mode determination
let selectedMode
if (modeFlag) {
// Explicit mode flag
selectedMode = modeFlag
} else if (autoYes) {
// Auto mode: default to lite-plan
selectedMode = 'lite-plan'
} else {
// Interactive: ask user
const selection = AskUserQuestion({
questions: [{
question: "Select planning approach:",
header: "Mode",
multiSelect: false,
options: [
{ label: "Lite Plan (Recommended)", description: "Lightweight planning with exploration and clarification" },
{ label: "Multi-CLI Plan", description: "Multi-model collaborative planning (Gemini + Codex + Claude)" },
{ label: "Lite Fix", description: "Bug diagnosis and fix planning with severity assessment" }
]
}]
})
selectedMode = parseSelection(selection) // Map to 'lite-plan' | 'multi-cli' | 'lite-fix'
}
// Load phase document
const phaseDoc = {
'lite-plan': 'phases/01-lite-plan.md',
'multi-cli': 'phases/02-multi-cli-plan.md',
'lite-fix': 'phases/03-lite-fix.md'
}[selectedMode]
Read(phaseDoc) // Load selected planning phase
// Execute planning phase...
// After planning completes:
Read('phases/04-lite-execute.md') // Load execution phase
```
## Data Flow
```
Planning Phase (01/02/03)
├─ Produces: executionContext = {
│ planObject: plan.json or fix-plan.json,
│ explorationsContext / diagnosisContext / synthesis rounds,
│ clarificationContext,
│ executionMethod: "Agent" | "Codex" | "Auto",
│ codeReviewTool: "Skip" | "Gemini Review" | ...,
│ originalUserInput: string,
│ session: { id, folder, artifacts }
│ }
Execution Phase (04)
├─ Consumes: executionContext
├─ Task grouping → Batch creation → Parallel/sequential execution
├─ Optional code review
└─ Development index update
```
## TodoWrite Pattern
**Initialization** (after mode selection):
```json
[
{"content": "Mode: {selectedMode} - Planning", "status": "in_progress", "activeForm": "Planning ({selectedMode})"},
{"content": "Execution (Phase 4)", "status": "pending", "activeForm": "Executing tasks"}
]
```
**After planning completes**:
```json
[
{"content": "Mode: {selectedMode} - Planning", "status": "completed", "activeForm": "Planning ({selectedMode})"},
{"content": "Execution (Phase 4)", "status": "in_progress", "activeForm": "Executing tasks"}
]
```
Phase-internal sub-tasks are managed by each phase document (attach/collapse pattern).
## Core Rules
1. **Planning phases NEVER execute code** - all execution delegated to Phase 4
2. **Only ONE planning phase runs** per invocation (Phase 1, 2, or 3)
3. **Phase 4 ALWAYS runs** after planning completes
4. **executionContext is the contract** between planning and execution phases
5. **Progressive loading**: Read phase doc ONLY when about to execute
6. **No cross-phase loading**: Don't load Phase 2 if user selected Phase 1
7. **Explicit Lifecycle**: Always close_agent after wait completes to free resources
## Error Handling
| Error | Resolution |
|-------|------------|
| Unknown --mode value | Default to lite-plan with warning |
| Planning phase failure | Display error, offer retry or mode switch |
| executionContext missing | Error: planning phase did not produce context |
| Phase file not found | Error with file path for debugging |
## Related Skills
- Full planning workflow: [workflow-plan/SKILL.md](../workflow-plan/SKILL.md)
- Brainstorming: [workflow-brainstorm-auto-parallel/SKILL.md](../workflow-brainstorm-auto-parallel/SKILL.md)

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# Phase 1: Lite Plan
## Overview
Intelligent lightweight planning command with dynamic workflow adaptation based on task complexity. Focuses on planning phases (exploration, clarification, planning, confirmation) and delegates execution to Phase 4: Lite Execute (phases/04-lite-execute.md).
**Core capabilities:**
- Intelligent task analysis with automatic exploration detection
- Dynamic code exploration (cli-explore-agent) when codebase understanding needed
- Interactive clarification after exploration to gather missing information
- Adaptive planning: Low complexity → Direct Claude; Medium/High → cli-lite-planning-agent
- Two-step confirmation: plan display → multi-dimensional input collection
- Execution execute with complete context handoff to lite-execute
## Parameters
| Parameter | Description |
|-----------|-------------|
| `-y`, `--yes` | Skip all confirmations (auto mode) |
| `-e`, `--explore` | Force code exploration phase (overrides auto-detection) |
| `<task-description>` | Task description or path to .md file (required) |
## Output Artifacts
| Artifact | Description |
|----------|-------------|
| `exploration-{angle}.json` | Per-angle exploration results (1-4 files based on complexity) |
| `explorations-manifest.json` | Index of all exploration files |
| `planning-context.md` | Evidence paths + synthesized understanding |
| `plan.json` | Structured implementation plan (plan-json-schema.json) |
**Output Directory**: `.workflow/.lite-plan/{task-slug}-{YYYY-MM-DD}/`
**Agent Usage**:
- Low complexity → Direct Claude planning (no agent)
- Medium/High complexity → `cli-lite-planning-agent` generates `plan.json`
**Schema Reference**: `~/.claude/workflows/cli-templates/schemas/plan-json-schema.json`
## Auto Mode Defaults
When `--yes` or `-y` flag is used:
- **Clarification Questions**: Skipped (no clarification phase)
- **Plan Confirmation**: Auto-selected "Allow"
- **Execution Method**: Auto-selected "Auto"
- **Code Review**: Auto-selected "Skip"
**Flag Parsing**:
```javascript
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
const forceExplore = $ARGUMENTS.includes('--explore') || $ARGUMENTS.includes('-e')
```
## Execution Process
```
Phase 1: Task Analysis & Exploration
├─ Parse input (description or .md file)
├─ intelligent complexity assessment (Low/Medium/High)
├─ Exploration decision (auto-detect or --explore flag)
├─ Context protection: If file reading ≥50k chars → force cli-explore-agent
└─ Decision:
├─ needsExploration=true → Launch parallel cli-explore-agents (1-4 based on complexity)
└─ needsExploration=false → Skip to Phase 2/3
Phase 2: Clarification (optional, multi-round)
├─ Aggregate clarification_needs from all exploration angles
├─ Deduplicate similar questions
└─ Decision:
├─ Has clarifications → AskUserQuestion (max 4 questions per round, multiple rounds allowed)
└─ No clarifications → Skip to Phase 3
Phase 3: Planning (NO CODE EXECUTION - planning only)
└─ Decision (based on Phase 1 complexity):
├─ Low → Load schema: cat ~/.claude/workflows/cli-templates/schemas/plan-json-schema.json → Direct Claude planning (following schema) → plan.json
└─ Medium/High → cli-lite-planning-agent → plan.json (agent internally executes quality check)
Phase 4: Confirmation & Selection
├─ Display plan summary (tasks, complexity, estimated time)
└─ AskUserQuestion:
├─ Confirm: Allow / Modify / Cancel
├─ Execution: Agent / Codex / Auto
└─ Review: Gemini / Agent / Skip
Phase 5: Execute
├─ Build executionContext (plan + explorations + clarifications + selections)
└─ → Hand off to Phase 4: Lite Execute (phases/04-lite-execute.md) --in-memory
```
## Implementation
### Phase 1: Intelligent Multi-Angle Exploration
**Session Setup** (MANDATORY - follow exactly):
```javascript
// Helper: Get UTC+8 (China Standard Time) ISO string
const getUtc8ISOString = () => new Date(Date.now() + 8 * 60 * 60 * 1000).toISOString()
const taskSlug = task_description.toLowerCase().replace(/[^a-z0-9]+/g, '-').substring(0, 40)
const dateStr = getUtc8ISOString().substring(0, 10) // Format: 2025-11-29
const sessionId = `${taskSlug}-${dateStr}` // e.g., "implement-jwt-refresh-2025-11-29"
const sessionFolder = `.workflow/.lite-plan/${sessionId}`
bash(`mkdir -p ${sessionFolder} && test -d ${sessionFolder} && echo "SUCCESS: ${sessionFolder}" || echo "FAILED: ${sessionFolder}"`)
```
**Exploration Decision Logic**:
```javascript
needsExploration = (
flags.includes('--explore') || flags.includes('-e') ||
task.mentions_specific_files ||
task.requires_codebase_context ||
task.needs_architecture_understanding ||
task.modifies_existing_code
)
if (!needsExploration) {
// Skip to Phase 2 (Clarification) or Phase 3 (Planning)
proceed_to_next_phase()
}
```
**⚠️ Context Protection**: File reading ≥50k chars → force `needsExploration=true` (delegate to cli-explore-agent)
**Complexity Assessment** (Intelligent Analysis):
```javascript
// analyzes task complexity based on:
// - Scope: How many systems/modules are affected?
// - Depth: Surface change vs architectural impact?
// - Risk: Potential for breaking existing functionality?
// - Dependencies: How interconnected is the change?
const complexity = analyzeTaskComplexity(task_description)
// Returns: 'Low' | 'Medium' | 'High'
// Low: Single file, isolated change, minimal risk
// Medium: Multiple files, some dependencies, moderate risk
// High: Cross-module, architectural, high risk
// Angle assignment based on task type (orchestrator decides, not agent)
const ANGLE_PRESETS = {
architecture: ['architecture', 'dependencies', 'modularity', 'integration-points'],
security: ['security', 'auth-patterns', 'dataflow', 'validation'],
performance: ['performance', 'bottlenecks', 'caching', 'data-access'],
bugfix: ['error-handling', 'dataflow', 'state-management', 'edge-cases'],
feature: ['patterns', 'integration-points', 'testing', 'dependencies']
}
function selectAngles(taskDescription, count) {
const text = taskDescription.toLowerCase()
let preset = 'feature' // default
if (/refactor|architect|restructure|modular/.test(text)) preset = 'architecture'
else if (/security|auth|permission|access/.test(text)) preset = 'security'
else if (/performance|slow|optimi|cache/.test(text)) preset = 'performance'
else if (/fix|bug|error|issue|broken/.test(text)) preset = 'bugfix'
return ANGLE_PRESETS[preset].slice(0, count)
}
const selectedAngles = selectAngles(task_description, complexity === 'High' ? 4 : (complexity === 'Medium' ? 3 : 1))
// Planning strategy determination
const planningStrategy = complexity === 'Low'
? 'Direct Claude Planning'
: 'cli-lite-planning-agent'
console.log(`
## Exploration Plan
Task Complexity: ${complexity}
Selected Angles: ${selectedAngles.join(', ')}
Planning Strategy: ${planningStrategy}
Launching ${selectedAngles.length} parallel explorations...
`)
```
**Launch Parallel Explorations** - Orchestrator assigns angle to each agent:
**⚠️ CRITICAL - SYNCHRONOUS EXECUTION**:
- **Exploration results are REQUIRED before planning**
- Use `spawn_agent` + `wait` pattern to ensure results are collected
```javascript
// Step 1: Create exploration agents in parallel
const explorationAgents = []
selectedAngles.forEach((angle, index) => {
const agentId = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/cli-explore-agent.md (MUST read first)
2. Read: .workflow/project-tech.json
3. Read: .workflow/project-guidelines.json
---
## Task Objective
Execute **${angle}** exploration for task planning context. Analyze codebase from this specific angle to discover relevant structure, patterns, and constraints.
## Output Location
**Session Folder**: ${sessionFolder}
**Output File**: ${sessionFolder}/exploration-${angle}.json
## Assigned Context
- **Exploration Angle**: ${angle}
- **Task Description**: ${task_description}
- **Exploration Index**: ${index + 1} of ${selectedAngles.length}
## MANDATORY STEPS (Execute by Agent)
**You (cli-explore-agent) MUST execute these steps in order:**
1. Run: ccw tool exec get_modules_by_depth '{}' (project structure)
2. Run: rg -l "{keyword_from_task}" --type ts (locate relevant files)
3. Execute: cat ~/.claude/workflows/cli-templates/schemas/explore-json-schema.json (get output schema reference)
4. Read: .workflow/project-tech.json (technology stack and architecture context)
5. Read: .workflow/project-guidelines.json (user-defined constraints and conventions)
## Exploration Strategy (${angle} focus)
**Step 1: Structural Scan** (Bash)
- get_modules_by_depth.sh → identify modules related to ${angle}
- find/rg → locate files relevant to ${angle} aspect
- Analyze imports/dependencies from ${angle} perspective
**Step 2: Semantic Analysis** (Gemini CLI)
- How does existing code handle ${angle} concerns?
- What patterns are used for ${angle}?
- Where would new code integrate from ${angle} viewpoint?
**Step 3: Write Output**
- Consolidate ${angle} findings into JSON
- Identify ${angle}-specific clarification needs
## Expected Output
**Schema Reference**: Schema obtained in MANDATORY FIRST STEPS step 3, follow schema exactly
**Required Fields** (all ${angle} focused):
- project_structure: Modules/architecture relevant to ${angle}
- relevant_files: Files affected from ${angle} perspective
**IMPORTANT**: Use object format with relevance scores for synthesis:
\`[{path: "src/file.ts", relevance: 0.85, rationale: "Core ${angle} logic"}]\`
Scores: 0.7+ high priority, 0.5-0.7 medium, <0.5 low
- patterns: ${angle}-related patterns to follow
- dependencies: Dependencies relevant to ${angle}
- integration_points: Where to integrate from ${angle} viewpoint (include file:line locations)
- constraints: ${angle}-specific limitations/conventions
- clarification_needs: ${angle}-related ambiguities (options array + recommended index)
- _metadata.exploration_angle: "${angle}"
## Success Criteria
- [ ] Schema obtained via cat explore-json-schema.json
- [ ] get_modules_by_depth.sh executed
- [ ] At least 3 relevant files identified with ${angle} rationale
- [ ] Patterns are actionable (code examples, not generic advice)
- [ ] Integration points include file:line locations
- [ ] Constraints are project-specific to ${angle}
- [ ] JSON output follows schema exactly
- [ ] clarification_needs includes options + recommended
## Execution
**Write**: \`${sessionFolder}/exploration-${angle}.json\`
**Return**: 2-3 sentence summary of ${angle} findings
`
})
explorationAgents.push({ agentId, angle, index })
})
// Step 2: Batch wait for all exploration agents
const explorationResults = wait({
ids: explorationAgents.map(a => a.agentId),
timeout_ms: 600000 // 10 minutes
})
// Step 3: Check for timeout
if (explorationResults.timed_out) {
console.log('部分探索超时,继续使用已完成结果')
}
// Step 4: Collect completed results
const completedExplorations = {}
explorationAgents.forEach(({ agentId, angle }) => {
if (explorationResults.status[agentId].completed) {
completedExplorations[angle] = explorationResults.status[agentId].completed
}
})
// Step 5: Close all exploration agents
explorationAgents.forEach(({ agentId }) => close_agent({ id: agentId }))
```
**Auto-discover Generated Exploration Files**:
```javascript
// After explorations complete, auto-discover all exploration-*.json files
const explorationFiles = bash(`find ${sessionFolder} -name "exploration-*.json" -type f`)
.split('\n')
.filter(f => f.trim())
// Read metadata to build manifest
const explorationManifest = {
session_id: sessionId,
task_description: task_description,
timestamp: getUtc8ISOString(),
complexity: complexity,
exploration_count: explorationCount,
explorations: explorationFiles.map(file => {
const data = JSON.parse(Read(file))
const filename = path.basename(file)
return {
angle: data._metadata.exploration_angle,
file: filename,
path: file,
index: data._metadata.exploration_index
}
})
}
Write(`${sessionFolder}/explorations-manifest.json`, JSON.stringify(explorationManifest, null, 2))
console.log(`
## Exploration Complete
Generated exploration files in ${sessionFolder}:
${explorationManifest.explorations.map(e => `- exploration-${e.angle}.json (angle: ${e.angle})`).join('\n')}
Manifest: explorations-manifest.json
Angles explored: ${explorationManifest.explorations.map(e => e.angle).join(', ')}
`)
```
**Output**:
- `${sessionFolder}/exploration-{angle1}.json`
- `${sessionFolder}/exploration-{angle2}.json`
- ... (1-4 files based on complexity)
- `${sessionFolder}/explorations-manifest.json`
---
### Phase 2: Clarification (Optional, Multi-Round)
**Skip if**: No exploration or `clarification_needs` is empty across all explorations
**⚠️ CRITICAL**: AskUserQuestion tool limits max 4 questions per call. **MUST execute multiple rounds** to exhaust all clarification needs - do NOT stop at round 1.
**Aggregate clarification needs from all exploration angles**:
```javascript
// Load manifest and all exploration files
const manifest = JSON.parse(Read(`${sessionFolder}/explorations-manifest.json`))
const explorations = manifest.explorations.map(exp => ({
angle: exp.angle,
data: JSON.parse(Read(exp.path))
}))
// Aggregate clarification needs from all explorations
const allClarifications = []
explorations.forEach(exp => {
if (exp.data.clarification_needs?.length > 0) {
exp.data.clarification_needs.forEach(need => {
allClarifications.push({
...need,
source_angle: exp.angle
})
})
}
})
// Intelligent deduplication: analyze allClarifications by intent
// - Identify questions with similar intent across different angles
// - Merge similar questions: combine options, consolidate context
// - Produce dedupedClarifications with unique intents only
const dedupedClarifications = intelligentMerge(allClarifications)
// Parse --yes flag
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
if (autoYes) {
// Auto mode: Skip clarification phase
console.log(`[--yes] Skipping ${dedupedClarifications.length} clarification questions`)
console.log(`Proceeding to planning with exploration results...`)
// Continue to Phase 3
} else if (dedupedClarifications.length > 0) {
// Interactive mode: Multi-round clarification
const BATCH_SIZE = 4
const totalRounds = Math.ceil(dedupedClarifications.length / BATCH_SIZE)
for (let i = 0; i < dedupedClarifications.length; i += BATCH_SIZE) {
const batch = dedupedClarifications.slice(i, i + BATCH_SIZE)
const currentRound = Math.floor(i / BATCH_SIZE) + 1
console.log(`### Clarification Round ${currentRound}/${totalRounds}`)
AskUserQuestion({
questions: batch.map(need => ({
question: `[${need.source_angle}] ${need.question}\n\nContext: ${need.context}`,
header: need.source_angle.substring(0, 12),
multiSelect: false,
options: need.options.map((opt, index) => ({
label: need.recommended === index ? `${opt}` : opt,
description: need.recommended === index ? `Recommended` : `Use ${opt}`
}))
}))
})
// Store batch responses in clarificationContext before next round
}
}
```
**Output**: `clarificationContext` (in-memory)
---
### Phase 3: Planning
**Planning Strategy Selection** (based on Phase 1 complexity):
**IMPORTANT**: Phase 3 is **planning only** - NO code execution. All execution happens in Phase 5 via lite-execute.
**Executor Assignment** (Claude 智能分配plan 生成后执行):
```javascript
// 分配规则(优先级从高到低):
// 1. 用户明确指定:"用 gemini 分析..." → gemini, "codex 实现..." → codex
// 2. 默认 → agent
const executorAssignments = {} // { taskId: { executor: 'gemini'|'codex'|'agent', reason: string } }
plan.tasks.forEach(task => {
// Claude 根据上述规则语义分析,为每个 task 分配 executor
executorAssignments[task.id] = { executor: '...', reason: '...' }
})
```
**Low Complexity** - Direct planning by Claude:
```javascript
// Step 1: Read schema
const schema = Bash(`cat ~/.claude/workflows/cli-templates/schemas/plan-json-schema.json`)
// Step 2: ⚠️ MANDATORY - Read and review ALL exploration files
const manifest = JSON.parse(Read(`${sessionFolder}/explorations-manifest.json`))
manifest.explorations.forEach(exp => {
const explorationData = Read(exp.path)
console.log(`\n### Exploration: ${exp.angle}\n${explorationData}`)
})
// Step 3: Generate plan following schema (Claude directly, no agent)
// ⚠️ Plan MUST incorporate insights from exploration files read in Step 2
const plan = {
summary: "...",
approach: "...",
tasks: [...], // Each task: { id, title, scope, ..., depends_on, execution_group, complexity }
estimated_time: "...",
recommended_execution: "Agent",
complexity: "Low",
_metadata: { timestamp: getUtc8ISOString(), source: "direct-planning", planning_mode: "direct" }
}
// Step 4: Write plan to session folder
Write(`${sessionFolder}/plan.json`, JSON.stringify(plan, null, 2))
// Step 5: MUST continue to Phase 4 (Confirmation) - DO NOT execute code here
```
**Medium/High Complexity** - Invoke cli-lite-planning-agent:
```javascript
// Step 1: Create planning agent
const planningAgentId = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/cli-lite-planning-agent.md (MUST read first)
2. Read: .workflow/project-tech.json
3. Read: .workflow/project-guidelines.json
---
Generate implementation plan and write plan.json.
## Output Location
**Session Folder**: ${sessionFolder}
**Output Files**:
- ${sessionFolder}/planning-context.md (evidence + understanding)
- ${sessionFolder}/plan.json (implementation plan)
## Output Schema Reference
Execute: cat ~/.claude/workflows/cli-templates/schemas/plan-json-schema.json (get schema reference before generating plan)
## Project Context (MANDATORY - Read Both Files)
1. Read: .workflow/project-tech.json (technology stack, architecture, key components)
2. Read: .workflow/project-guidelines.json (user-defined constraints and conventions)
**CRITICAL**: All generated tasks MUST comply with constraints in project-guidelines.json
## Task Description
${task_description}
## Multi-Angle Exploration Context
${manifest.explorations.map(exp => `### Exploration: ${exp.angle} (${exp.file})
Path: ${exp.path}
Read this file for detailed ${exp.angle} analysis.`).join('\n\n')}
Total explorations: ${manifest.exploration_count}
Angles covered: ${manifest.explorations.map(e => e.angle).join(', ')}
Manifest: ${sessionFolder}/explorations-manifest.json
## User Clarifications
${JSON.stringify(clarificationContext) || "None"}
## Complexity Level
${complexity}
## Requirements
Generate plan.json following the schema obtained above. Key constraints:
- tasks: 2-7 structured tasks (**group by feature/module, NOT by file**)
- _metadata.exploration_angles: ${JSON.stringify(manifest.explorations.map(e => e.angle))}
## Task Grouping Rules
1. **Group by feature**: All changes for one feature = one task (even if 3-5 files)
2. **Group by context**: Tasks with similar context or related functional changes can be grouped together
3. **Minimize agent count**: Simple, unrelated tasks can also be grouped to reduce agent execution overhead
4. **Avoid file-per-task**: Do NOT create separate tasks for each file
5. **Substantial tasks**: Each task should represent 15-60 minutes of work
6. **True dependencies only**: Only use depends_on when Task B cannot start without Task A's output
7. **Prefer parallel**: Most tasks should be independent (no depends_on)
## Execution
1. Read schema file (cat command above)
2. Execute CLI planning using Gemini (Qwen fallback)
3. Read ALL exploration files for comprehensive context
4. Synthesize findings and generate plan following schema
5. **Write**: \`${sessionFolder}/planning-context.md\` (evidence paths + understanding)
6. **Write**: \`${sessionFolder}/plan.json\`
7. Return brief completion summary
`
})
// Step 2: Wait for planning completion
const planResult = wait({
ids: [planningAgentId],
timeout_ms: 900000 // 15 minutes
})
// Step 3: Close planning agent
close_agent({ id: planningAgentId })
```
**Output**: `${sessionFolder}/plan.json`
---
### Phase 4: Task Confirmation & Execution Selection
**Step 4.1: Display Plan**
```javascript
const plan = JSON.parse(Read(`${sessionFolder}/plan.json`))
console.log(`
## Implementation Plan
**Summary**: ${plan.summary}
**Approach**: ${plan.approach}
**Tasks** (${plan.tasks.length}):
${plan.tasks.map((t, i) => `${i+1}. ${t.title} (${t.file})`).join('\n')}
**Complexity**: ${plan.complexity}
**Estimated Time**: ${plan.estimated_time}
**Recommended**: ${plan.recommended_execution}
`)
```
**Step 4.2: Collect Confirmation**
```javascript
// Parse --yes flag
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
let userSelection
if (autoYes) {
// Auto mode: Use defaults
console.log(`[--yes] Auto-confirming plan:`)
console.log(` - Confirmation: Allow`)
console.log(` - Execution: Auto`)
console.log(` - Review: Skip`)
userSelection = {
confirmation: "Allow",
execution_method: "Auto",
code_review_tool: "Skip"
}
} else {
// Interactive mode: Ask user
// Note: Execution "Other" option allows specifying CLI tools from ~/.claude/cli-tools.json
userSelection = AskUserQuestion({
questions: [
{
question: `Confirm plan? (${plan.tasks.length} tasks, ${plan.complexity})`,
header: "Confirm",
multiSelect: false,
options: [
{ label: "Allow", description: "Proceed as-is" },
{ label: "Modify", description: "Adjust before execution" },
{ label: "Cancel", description: "Abort workflow" }
]
},
{
question: "Execution method:",
header: "Execution",
multiSelect: false,
options: [
{ label: "Agent", description: "@code-developer agent" },
{ label: "Codex", description: "codex CLI tool" },
{ label: "Auto", description: `Auto: ${plan.complexity === 'Low' ? 'Agent' : 'Codex'}` }
]
},
{
question: "Code review after execution?",
header: "Review",
multiSelect: false,
options: [
{ label: "Gemini Review", description: "Gemini CLI review" },
{ label: "Codex Review", description: "Git-aware review (prompt OR --uncommitted)" },
{ label: "Agent Review", description: "@code-reviewer agent" },
{ label: "Skip", description: "No review" }
]
}
]
})
}
```
---
### Phase 5: Execute to Execution
**CRITICAL**: lite-plan NEVER executes code directly. ALL execution MUST go through lite-execute.
**Step 5.1: Build executionContext**
```javascript
// Load manifest and all exploration files
const manifest = JSON.parse(Read(`${sessionFolder}/explorations-manifest.json`))
const explorations = {}
manifest.explorations.forEach(exp => {
if (file_exists(exp.path)) {
explorations[exp.angle] = JSON.parse(Read(exp.path))
}
})
const plan = JSON.parse(Read(`${sessionFolder}/plan.json`))
executionContext = {
planObject: plan,
explorationsContext: explorations,
explorationAngles: manifest.explorations.map(e => e.angle),
explorationManifest: manifest,
clarificationContext: clarificationContext || null,
executionMethod: userSelection.execution_method, // 全局默认,可被 executorAssignments 覆盖
codeReviewTool: userSelection.code_review_tool,
originalUserInput: task_description,
// 任务级 executor 分配(优先于全局 executionMethod
executorAssignments: executorAssignments, // { taskId: { executor, reason } }
session: {
id: sessionId,
folder: sessionFolder,
artifacts: {
explorations: manifest.explorations.map(exp => ({
angle: exp.angle,
path: exp.path
})),
explorations_manifest: `${sessionFolder}/explorations-manifest.json`,
plan: `${sessionFolder}/plan.json`
}
}
}
```
**Step 5.2: Execute**
```javascript
// → Hand off to Phase 4: Lite Execute (phases/04-lite-execute.md) --in-memory
```
## Session Folder Structure
```
.workflow/.lite-plan/{task-slug}-{YYYY-MM-DD}/
├── exploration-{angle1}.json # Exploration angle 1
├── exploration-{angle2}.json # Exploration angle 2
├── exploration-{angle3}.json # Exploration angle 3 (if applicable)
├── exploration-{angle4}.json # Exploration angle 4 (if applicable)
├── explorations-manifest.json # Exploration index
└── plan.json # Implementation plan
```
**Example**:
```
.workflow/.lite-plan/implement-jwt-refresh-2025-11-25-14-30-25/
├── exploration-architecture.json
├── exploration-auth-patterns.json
├── exploration-security.json
├── explorations-manifest.json
└── plan.json
```
## Error Handling
| Error | Resolution |
|-------|------------|
| Exploration agent failure | Skip exploration, continue with task description only |
| Planning agent failure | Fallback to direct planning by Claude |
| Clarification timeout | Use exploration findings as-is |
| Confirmation timeout | Save context, display resume instructions |
| Modify loop > 3 times | Suggest breaking task or using full planning workflow (workflow-plan/SKILL.md) |
---
## Post-Phase Update
After Phase 1 (Lite Plan) completes:
- **Output Created**: `executionContext` with plan.json, explorations, clarifications, user selections
- **Session Artifacts**: All files in `.workflow/.lite-plan/{session-id}/`
- **Next Action**: Auto-continue to [Phase 4: Lite Execute](04-lite-execute.md) with --in-memory
- **TodoWrite**: Mark "Lite Plan - Planning" as completed, start "Execution (Phase 4)"

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@@ -0,0 +1,548 @@
# Phase 2: Multi-CLI Plan
## Auto Mode
When `--yes` or `-y`: Auto-approve plan, use recommended solution and execution method (Agent, Skip review).
## Overview
Multi-CLI collaborative planning with ACE context gathering and iterative cross-verification. Uses cli-discuss-agent for Gemini+Codex+Claude analysis to converge on optimal execution plan.
## Quick Start
**Parameters**:
- `<task-description>` (required): Task description
- `--max-rounds` (optional): Maximum discussion rounds (default: 3)
- `--tools` (optional): CLI tools for analysis (default: gemini,codex)
- `--mode` (optional): Execution mode: parallel or serial
**Context Source**: ACE semantic search + Multi-CLI analysis
**Output Directory**: `.workflow/.multi-cli-plan/{session-id}/`
**Default Max Rounds**: 3 (convergence may complete earlier)
**CLI Tools**: @cli-discuss-agent (analysis), @cli-lite-planning-agent (plan generation)
**Execution**: Auto-hands off to Phase 4: Lite Execute (phases/04-lite-execute.md) after plan approval
## What & Why
### Core Concept
Multi-CLI collaborative planning with **three-phase architecture**: ACE context gathering → Iterative multi-CLI discussion → Plan generation. Orchestrator delegates analysis to agents, only handles user decisions and session management.
**Process**:
- **Phase 1**: ACE semantic search gathers codebase context
- **Phase 2**: cli-discuss-agent orchestrates Gemini/Codex/Claude for cross-verified analysis
- **Phase 3-5**: User decision → Plan generation → Execution handoff
**vs Single-CLI Planning**:
- **Single**: One model perspective, potential blind spots
- **Multi-CLI**: Cross-verification catches inconsistencies, builds consensus on solutions
### Value Proposition
1. **Multi-Perspective Analysis**: Gemini + Codex + Claude analyze from different angles
2. **Cross-Verification**: Identify agreements/disagreements, build confidence
3. **User-Driven Decisions**: Every round ends with user decision point
4. **Iterative Convergence**: Progressive refinement until consensus reached
### Orchestrator Boundary (CRITICAL)
- **ONLY command** for multi-CLI collaborative planning
- Manages: Session state, user decisions, agent delegation, phase transitions
- Delegates: CLI execution to @cli-discuss-agent, plan generation to @cli-lite-planning-agent
### Execution Flow
```
Phase 1: Context Gathering
└─ ACE semantic search, extract keywords, build context package
Phase 2: Multi-CLI Discussion (Iterative, via @cli-discuss-agent)
├─ Round N: Agent executes Gemini + Codex + Claude
├─ Cross-verify findings, synthesize solutions
├─ Write synthesis.json to rounds/{N}/
└─ Loop until convergence or max rounds
Phase 3: Present Options
└─ Display solutions with trade-offs from agent output
Phase 4: User Decision
├─ Select solution approach
├─ Select execution method (Agent/Codex/Auto)
├─ Select code review tool (Skip/Gemini/Codex/Agent)
└─ Route:
├─ Approve → Phase 5
├─ Need More Analysis → Return to Phase 2
└─ Cancel → Save session
Phase 5: Plan Generation & Execution Handoff
├─ Generate plan.json (via @cli-lite-planning-agent)
├─ Build executionContext with user selections
└─ Hand off to Phase 4: Lite Execute (phases/04-lite-execute.md) --in-memory
```
### Agent Roles
| Agent | Responsibility |
|-------|---------------|
| **Orchestrator** | Session management, ACE context, user decisions, phase transitions, executionContext assembly |
| **@cli-discuss-agent** | Multi-CLI execution (Gemini/Codex/Claude), cross-verification, solution synthesis, synthesis.json output |
| **@cli-lite-planning-agent** | Task decomposition, plan.json generation following schema |
## Core Responsibilities
### Phase 1: Context Gathering
**Session Initialization**:
```javascript
const sessionId = `MCP-${taskSlug}-${date}`
const sessionFolder = `.workflow/.multi-cli-plan/${sessionId}`
Bash(`mkdir -p ${sessionFolder}/rounds`)
```
**ACE Context Queries**:
```javascript
const aceQueries = [
`Project architecture related to ${keywords}`,
`Existing implementations of ${keywords[0]}`,
`Code patterns for ${keywords} features`,
`Integration points for ${keywords[0]}`
]
// Execute via mcp__ace-tool__search_context
```
**Context Package** (passed to agent):
- `relevant_files[]` - Files identified by ACE
- `detected_patterns[]` - Code patterns found
- `architecture_insights` - Structure understanding
### Phase 2: Agent Delegation
**Core Principle**: Orchestrator only delegates and reads output - NO direct CLI execution.
**⚠️ CRITICAL - CLI EXECUTION REQUIREMENT**:
- **MUST** execute CLI calls via `Bash` with `run_in_background: true`
- **MUST** wait for hook callback to receive complete results
- **MUST NOT** proceed with next phase until CLI execution fully completes
- Do NOT use `TaskOutput` polling during CLI execution - wait passively for results
- Minimize scope: Proceed only when 100% result available
**Agent Invocation** (Codex subagent pattern):
```javascript
// Step 1: Create discussion agent
const discussAgentId = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/cli-discuss-agent.md (MUST read first)
2. Read: .workflow/project-tech.json
3. Read: .workflow/project-guidelines.json
---
## Input Context
- task_description: ${taskDescription}
- round_number: ${currentRound}
- session: { id: "${sessionId}", folder: "${sessionFolder}" }
- ace_context: ${JSON.stringify(contextPackage)}
- previous_rounds: ${JSON.stringify(analysisResults)}
- user_feedback: ${userFeedback || 'None'}
- cli_config: { tools: ["gemini", "codex"], mode: "parallel", fallback_chain: ["gemini", "codex", "claude"] }
## Execution Process
1. Parse input context (handle JSON strings)
2. Check if ACE supplementary search needed
3. Build CLI prompts with context
4. Execute CLIs (parallel or serial per cli_config.mode)
5. Parse CLI outputs, handle failures with fallback
6. Perform cross-verification between CLI results
7. Synthesize solutions, calculate scores
8. Calculate convergence, generate clarification questions
9. Write synthesis.json
## Output
Write: ${sessionFolder}/rounds/${currentRound}/synthesis.json
## Completion Checklist
- [ ] All configured CLI tools executed (or fallback triggered)
- [ ] Cross-verification completed with agreements/disagreements
- [ ] 2-3 solutions generated with file:line references
- [ ] Convergence score calculated (0.0-1.0)
- [ ] synthesis.json written with all Primary Fields
`
})
// Step 2: Wait for discussion completion
const discussResult = wait({
ids: [discussAgentId],
timeout_ms: 600000 // 10 minutes
})
// Step 3: Close discussion agent
close_agent({ id: discussAgentId })
```
**Read Agent Output**:
```javascript
const synthesis = JSON.parse(Read(`${sessionFolder}/rounds/${round}/synthesis.json`))
// Access top-level fields: solutions, convergence, cross_verification, clarification_questions
```
**Convergence Decision**:
```javascript
if (synthesis.convergence.recommendation === 'converged') {
// Proceed to Phase 3
} else if (synthesis.convergence.recommendation === 'user_input_needed') {
// Collect user feedback, return to Phase 2
} else {
// Continue to next round if new_insights && round < maxRounds
}
```
### Phase 3: Present Options
**Display from Agent Output** (no processing):
```javascript
console.log(`
## Solution Options
${synthesis.solutions.map((s, i) => `
**Option ${i+1}: ${s.name}**
Source: ${s.source_cli.join(' + ')}
Effort: ${s.effort} | Risk: ${s.risk}
Pros: ${s.pros.join(', ')}
Cons: ${s.cons.join(', ')}
Files: ${s.affected_files.slice(0,3).map(f => `${f.file}:${f.line}`).join(', ')}
`).join('\n')}
## Cross-Verification
Agreements: ${synthesis.cross_verification.agreements.length}
Disagreements: ${synthesis.cross_verification.disagreements.length}
`)
```
### Phase 4: User Decision
**Decision Options**:
```javascript
AskUserQuestion({
questions: [
{
question: "Which solution approach?",
header: "Solution",
multiSelect: false,
options: solutions.map((s, i) => ({
label: `Option ${i+1}: ${s.name}`,
description: `${s.effort} effort, ${s.risk} risk`
})).concat([
{ label: "Need More Analysis", description: "Return to Phase 2" }
])
},
{
question: "Execution method:",
header: "Execution",
multiSelect: false,
options: [
{ label: "Agent", description: "@code-developer agent" },
{ label: "Codex", description: "codex CLI tool" },
{ label: "Auto", description: "Auto-select based on complexity" }
]
},
{
question: "Code review after execution?",
header: "Review",
multiSelect: false,
options: [
{ label: "Skip", description: "No review" },
{ label: "Gemini Review", description: "Gemini CLI tool" },
{ label: "Codex Review", description: "codex review --uncommitted" },
{ label: "Agent Review", description: "Current agent review" }
]
}
]
})
```
**Routing**:
- Approve + execution method → Phase 5
- Need More Analysis → Phase 2 with feedback
- Cancel → Save session for resumption
### Phase 5: Plan Generation & Execution Handoff
**Step 1: Build Context-Package** (Orchestrator responsibility):
```javascript
// Extract key information from user decision and synthesis
const contextPackage = {
// Core solution details
solution: {
name: selectedSolution.name,
source_cli: selectedSolution.source_cli,
feasibility: selectedSolution.feasibility,
effort: selectedSolution.effort,
risk: selectedSolution.risk,
summary: selectedSolution.summary
},
// Implementation plan (tasks, flow, milestones)
implementation_plan: selectedSolution.implementation_plan,
// Dependencies
dependencies: selectedSolution.dependencies || { internal: [], external: [] },
// Technical concerns
technical_concerns: selectedSolution.technical_concerns || [],
// Consensus from cross-verification
consensus: {
agreements: synthesis.cross_verification.agreements,
resolved_conflicts: synthesis.cross_verification.resolution
},
// User constraints (from Phase 4 feedback)
constraints: userConstraints || [],
// Task context
task_description: taskDescription,
session_id: sessionId
}
// Write context-package for traceability
Write(`${sessionFolder}/context-package.json`, JSON.stringify(contextPackage, null, 2))
```
**Step 2: Invoke Planning Agent** (Codex subagent pattern):
```javascript
// Step 1: Create planning agent
const planningAgentId = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/cli-lite-planning-agent.md (MUST read first)
2. Read: .workflow/project-tech.json
3. Read: .workflow/project-guidelines.json
---
## Schema Reference
Execute: cat ~/.claude/workflows/cli-templates/schemas/plan-json-schema.json
## Context-Package (from orchestrator)
${JSON.stringify(contextPackage, null, 2)}
## Execution Process
1. Read plan-json-schema.json for output structure
2. Read project-tech.json and project-guidelines.json
3. Parse context-package fields:
- solution: name, feasibility, summary
- implementation_plan: tasks[], execution_flow, milestones
- dependencies: internal[], external[]
- technical_concerns: risks/blockers
- consensus: agreements, resolved_conflicts
- constraints: user requirements
4. Use implementation_plan.tasks[] as task foundation
5. Preserve task dependencies (depends_on) and execution_flow
6. Expand tasks with detailed acceptance criteria
7. Generate plan.json following schema exactly
## Output
- ${sessionFolder}/plan.json
## Completion Checklist
- [ ] plan.json preserves task dependencies from implementation_plan
- [ ] Task execution order follows execution_flow
- [ ] Key_points reflected in task descriptions
- [ ] User constraints applied to implementation
- [ ] Acceptance criteria are testable
- [ ] Schema fields match plan-json-schema.json exactly
`
})
// Step 2: Wait for planning completion
const planResult = wait({
ids: [planningAgentId],
timeout_ms: 900000 // 15 minutes
})
// Step 3: Close planning agent
close_agent({ id: planningAgentId })
```
**Step 3: Build executionContext**:
```javascript
// After plan.json is generated by cli-lite-planning-agent
const plan = JSON.parse(Read(`${sessionFolder}/plan.json`))
// Build executionContext (same structure as lite-plan)
executionContext = {
planObject: plan,
explorationsContext: null, // Multi-CLI doesn't use exploration files
explorationAngles: [], // No exploration angles
explorationManifest: null, // No manifest
clarificationContext: null, // Store user feedback from Phase 2 if exists
executionMethod: userSelection.execution_method, // From Phase 4
codeReviewTool: userSelection.code_review_tool, // From Phase 4
originalUserInput: taskDescription,
// Optional: Task-level executor assignments
executorAssignments: null, // Could be enhanced in future
session: {
id: sessionId,
folder: sessionFolder,
artifacts: {
explorations: [], // No explorations in multi-CLI workflow
explorations_manifest: null,
plan: `${sessionFolder}/plan.json`,
synthesis_rounds: Array.from({length: currentRound}, (_, i) =>
`${sessionFolder}/rounds/${i+1}/synthesis.json`
),
context_package: `${sessionFolder}/context-package.json`
}
}
}
```
**Step 4: Hand off to Execution**:
```javascript
// Hand off to Phase 4: Lite Execute (phases/04-lite-execute.md) with in-memory context
// executionContext is passed in-memory to the execution phase
```
## Output File Structure
```
.workflow/.multi-cli-plan/{MCP-task-slug-YYYY-MM-DD}/
├── session-state.json # Session tracking (orchestrator)
├── rounds/
│ ├── 1/synthesis.json # Round 1 analysis (cli-discuss-agent)
│ ├── 2/synthesis.json # Round 2 analysis (cli-discuss-agent)
│ └── .../
├── context-package.json # Extracted context for planning (orchestrator)
└── plan.json # Structured plan (cli-lite-planning-agent)
```
**File Producers**:
| File | Producer | Content |
|------|----------|---------|
| `session-state.json` | Orchestrator | Session metadata, rounds, decisions |
| `rounds/*/synthesis.json` | cli-discuss-agent | Solutions, convergence, cross-verification |
| `context-package.json` | Orchestrator | Extracted solution, dependencies, consensus for planning |
| `plan.json` | cli-lite-planning-agent | Structured tasks for lite-execute |
## synthesis.json Schema
```json
{
"round": 1,
"solutions": [{
"name": "Solution Name",
"source_cli": ["gemini", "codex"],
"feasibility": 0.85,
"effort": "low|medium|high",
"risk": "low|medium|high",
"summary": "Brief analysis summary",
"implementation_plan": {
"approach": "High-level technical approach",
"tasks": [
{"id": "T1", "name": "Task", "depends_on": [], "files": [], "key_point": "..."}
],
"execution_flow": "T1 → T2 → T3",
"milestones": ["Checkpoint 1", "Checkpoint 2"]
},
"dependencies": {"internal": [], "external": []},
"technical_concerns": ["Risk 1", "Blocker 2"]
}],
"convergence": {
"score": 0.85,
"new_insights": false,
"recommendation": "converged|continue|user_input_needed"
},
"cross_verification": {
"agreements": [],
"disagreements": [],
"resolution": "..."
},
"clarification_questions": []
}
```
**Key Planning Fields**:
| Field | Purpose |
|-------|---------|
| `feasibility` | Viability score (0-1) |
| `implementation_plan.tasks[]` | Discrete tasks with dependencies |
| `implementation_plan.execution_flow` | Task sequence visualization |
| `implementation_plan.milestones` | Key checkpoints |
| `technical_concerns` | Risks and blockers |
**Note**: Solutions ranked by internal scoring (array order = priority)
## TodoWrite Structure
**Initialization**:
```javascript
TodoWrite({ todos: [
{ content: "Phase 1: Context Gathering", status: "in_progress", activeForm: "Gathering context" },
{ content: "Phase 2: Multi-CLI Discussion", status: "pending", activeForm: "Running discussion" },
{ content: "Phase 3: Present Options", status: "pending", activeForm: "Presenting options" },
{ content: "Phase 4: User Decision", status: "pending", activeForm: "Awaiting decision" },
{ content: "Phase 5: Plan Generation", status: "pending", activeForm: "Generating plan" }
]})
```
**During Discussion Rounds**:
```javascript
TodoWrite({ todos: [
{ content: "Phase 1: Context Gathering", status: "completed", activeForm: "Gathering context" },
{ content: "Phase 2: Multi-CLI Discussion", status: "in_progress", activeForm: "Running discussion" },
{ content: " → Round 1: Initial analysis", status: "completed", activeForm: "Analyzing" },
{ content: " → Round 2: Deep verification", status: "in_progress", activeForm: "Verifying" },
{ content: "Phase 3: Present Options", status: "pending", activeForm: "Presenting options" },
// ...
]})
```
## Error Handling
| Error | Resolution |
|-------|------------|
| ACE search fails | Fall back to Glob/Grep for file discovery |
| Agent fails | Retry once, then present partial results |
| CLI timeout (in agent) | Agent uses fallback: gemini → codex → claude |
| No convergence | Present best options, flag uncertainty |
| synthesis.json parse error | Request agent retry |
| User cancels | Save session for later resumption |
## Configuration
| Flag | Default | Description |
|------|---------|-------------|
| `--max-rounds` | 3 | Maximum discussion rounds |
| `--tools` | gemini,codex | CLI tools for analysis |
| `--mode` | parallel | Execution mode: parallel or serial |
| `--auto-execute` | false | Auto-execute after approval |
## Best Practices
1. **Be Specific**: Detailed task descriptions improve ACE context quality
2. **Provide Feedback**: Use clarification rounds to refine requirements
3. **Trust Cross-Verification**: Multi-CLI consensus indicates high confidence
4. **Review Trade-offs**: Consider pros/cons before selecting solution
5. **Check synthesis.json**: Review agent output for detailed analysis
6. **Iterate When Needed**: Don't hesitate to request more analysis
## Related Phases
- Simpler single-round planning: [Phase 1: Lite Plan](01-lite-plan.md)
- Shared execution engine: [Phase 4: Lite Execute](04-lite-execute.md)
- Full planning workflow: [workflow-plan/SKILL.md](../../workflow-plan/SKILL.md)
---
## Post-Phase Update
After Phase 2 (Multi-CLI Plan) completes:
- **Output Created**: `executionContext` with plan.json, synthesis rounds, context-package, user selections
- **Session Artifacts**: All files in `.workflow/.multi-cli-plan/{session-id}/`
- **Next Action**: Auto-continue to [Phase 4: Lite Execute](04-lite-execute.md) with --in-memory
- **TodoWrite**: Mark "Multi-CLI Plan - Planning" as completed, start "Execution (Phase 4)"

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@@ -0,0 +1,799 @@
# Phase 3: Lite Fix
## Overview
Intelligent lightweight bug fixing command with dynamic workflow adaptation based on severity assessment. Focuses on diagnosis phases (root cause analysis, impact assessment, fix planning, confirmation) and delegates execution to Phase 4: Lite Execute (phases/04-lite-execute.md).
**Core capabilities:**
- Intelligent bug analysis with automatic severity detection
- Dynamic code diagnosis (cli-explore-agent) for root cause identification
- Interactive clarification after diagnosis to gather missing information
- Adaptive fix planning strategy (direct Claude vs cli-lite-planning-agent) based on complexity
- Two-step confirmation: fix-plan display -> multi-dimensional input collection
- Execution handoff with complete context to Phase 4: Lite Execute (phases/04-lite-execute.md)
## Parameters
- `-y, --yes`: Skip all confirmations (auto mode)
- `--hotfix, -h`: Production hotfix mode (minimal diagnosis, fast fix)
- `<bug-description>` (required): Bug description, error message, or path to .md file
## Output Artifacts
| Artifact | Description |
|----------|-------------|
| `diagnosis-{angle}.json` | Per-angle diagnosis results (1-4 files based on severity) |
| `diagnoses-manifest.json` | Index of all diagnosis files |
| `planning-context.md` | Evidence paths + synthesized understanding |
| `fix-plan.json` | Structured fix plan (fix-plan-json-schema.json) |
**Output Directory**: `.workflow/.lite-fix/{bug-slug}-{YYYY-MM-DD}/`
**Agent Usage**:
- Low/Medium severity → Direct Claude planning (no agent)
- High/Critical severity → `cli-lite-planning-agent` generates `fix-plan.json`
**Schema Reference**: `~/.claude/workflows/cli-templates/schemas/fix-plan-json-schema.json`
## Auto Mode Defaults
When `--yes` or `-y` flag is used:
- **Clarification Questions**: Skipped (no clarification phase)
- **Fix Plan Confirmation**: Auto-selected "Allow"
- **Execution Method**: Auto-selected "Auto"
- **Code Review**: Auto-selected "Skip"
- **Severity**: Uses auto-detected severity (no manual override)
- **Hotfix Mode**: Respects --hotfix flag if present, otherwise normal mode
**Flag Parsing**:
```javascript
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
const hotfixMode = $ARGUMENTS.includes('--hotfix') || $ARGUMENTS.includes('-h')
```
## Execution Process
```
Phase 1: Bug Analysis & Diagnosis
|- Parse input (description, error message, or .md file)
|- Intelligent severity pre-assessment (Low/Medium/High/Critical)
|- Diagnosis decision (auto-detect or --hotfix flag)
|- Context protection: If file reading >=50k chars -> force cli-explore-agent
+- Decision:
|- needsDiagnosis=true -> Launch parallel cli-explore-agents (1-4 based on severity)
+- needsDiagnosis=false (hotfix) -> Skip directly to Phase 3 (Fix Planning)
Phase 2: Clarification (optional, multi-round)
|- Aggregate clarification_needs from all diagnosis angles
|- Deduplicate similar questions
+- Decision:
|- Has clarifications -> AskUserQuestion (max 4 questions per round, multiple rounds allowed)
+- No clarifications -> Skip to Phase 3
Phase 3: Fix Planning (NO CODE EXECUTION - planning only)
+- Decision (based on Phase 1 severity):
|- Low/Medium -> Load schema: cat ~/.claude/workflows/cli-templates/schemas/fix-plan-json-schema.json -> Direct Claude planning (following schema) -> fix-plan.json -> MUST proceed to Phase 4
+- High/Critical -> cli-lite-planning-agent -> fix-plan.json -> MUST proceed to Phase 4
Phase 4: Confirmation & Selection
|- Display fix-plan summary (tasks, severity, estimated time)
+- AskUserQuestion:
|- Confirm: Allow / Modify / Cancel
|- Execution: Agent / Codex / Auto
+- Review: Gemini / Agent / Skip
Phase 5: Execute
|- Build executionContext (fix-plan + diagnoses + clarifications + selections)
+- Hand off to Phase 4: Lite Execute (phases/04-lite-execute.md) --in-memory --mode bugfix
```
## Implementation
### Phase 1: Intelligent Multi-Angle Diagnosis
**Session Setup** (MANDATORY - follow exactly):
```javascript
// Helper: Get UTC+8 (China Standard Time) ISO string
const getUtc8ISOString = () => new Date(Date.now() + 8 * 60 * 60 * 1000).toISOString()
const bugSlug = bug_description.toLowerCase().replace(/[^a-z0-9]+/g, '-').substring(0, 40)
const dateStr = getUtc8ISOString().substring(0, 10) // Format: 2025-11-29
const sessionId = `${bugSlug}-${dateStr}` // e.g., "user-avatar-upload-fails-2025-11-29"
const sessionFolder = `.workflow/.lite-fix/${sessionId}`
bash(`mkdir -p ${sessionFolder} && test -d ${sessionFolder} && echo "SUCCESS: ${sessionFolder}" || echo "FAILED: ${sessionFolder}"`)
```
**Diagnosis Decision Logic**:
```javascript
const hotfixMode = $ARGUMENTS.includes('--hotfix') || $ARGUMENTS.includes('-h')
needsDiagnosis = (
!hotfixMode &&
(
bug.lacks_specific_error_message ||
bug.requires_codebase_context ||
bug.needs_execution_tracing ||
bug.root_cause_unclear
)
)
if (!needsDiagnosis) {
// Skip to Phase 2 (Clarification) or Phase 3 (Fix Planning)
proceed_to_next_phase()
}
```
**Context Protection**: File reading >=50k chars -> force `needsDiagnosis=true` (delegate to cli-explore-agent)
**Severity Pre-Assessment** (Intelligent Analysis):
```javascript
// Analyzes bug severity based on:
// - Symptoms: Error messages, crash reports, user complaints
// - Scope: How many users/features are affected?
// - Urgency: Production down vs minor inconvenience
// - Impact: Data loss, security, business impact
const severity = analyzeBugSeverity(bug_description)
// Returns: 'Low' | 'Medium' | 'High' | 'Critical'
// Low: Minor UI issue, localized, no data impact
// Medium: Multiple users affected, degraded functionality
// High: Significant functionality broken, many users affected
// Critical: Production down, data loss risk, security issue
// Angle assignment based on bug type (orchestrator decides, not agent)
const DIAGNOSIS_ANGLE_PRESETS = {
runtime_error: ['error-handling', 'dataflow', 'state-management', 'edge-cases'],
performance: ['performance', 'bottlenecks', 'caching', 'data-access'],
security: ['security', 'auth-patterns', 'dataflow', 'validation'],
data_corruption: ['data-integrity', 'state-management', 'transactions', 'validation'],
ui_bug: ['state-management', 'event-handling', 'rendering', 'data-binding'],
integration: ['api-contracts', 'error-handling', 'timeouts', 'fallbacks']
}
function selectDiagnosisAngles(bugDescription, count) {
const text = bugDescription.toLowerCase()
let preset = 'runtime_error' // default
if (/slow|timeout|performance|lag|hang/.test(text)) preset = 'performance'
else if (/security|auth|permission|access|token/.test(text)) preset = 'security'
else if (/corrupt|data|lost|missing|inconsistent/.test(text)) preset = 'data_corruption'
else if (/ui|display|render|style|click|button/.test(text)) preset = 'ui_bug'
else if (/api|integration|connect|request|response/.test(text)) preset = 'integration'
return DIAGNOSIS_ANGLE_PRESETS[preset].slice(0, count)
}
const selectedAngles = selectDiagnosisAngles(bug_description, severity === 'Critical' ? 4 : (severity === 'High' ? 3 : (severity === 'Medium' ? 2 : 1)))
console.log(`
## Diagnosis Plan
Bug Severity: ${severity}
Selected Angles: ${selectedAngles.join(', ')}
Launching ${selectedAngles.length} parallel diagnoses...
`)
```
**Launch Parallel Diagnoses** - Orchestrator assigns angle to each agent:
```javascript
// Launch agents with pre-assigned diagnosis angles
const diagnosisTasks = selectedAngles.map((angle, index) =>
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description=`Diagnose: ${angle}`,
prompt=`
## Task Objective
Execute **${angle}** diagnosis for bug root cause analysis. Analyze codebase from this specific angle to discover root cause, affected paths, and fix hints.
## Output Location
**Session Folder**: ${sessionFolder}
**Output File**: ${sessionFolder}/diagnosis-${angle}.json
## Assigned Context
- **Diagnosis Angle**: ${angle}
- **Bug Description**: ${bug_description}
- **Diagnosis Index**: ${index + 1} of ${selectedAngles.length}
## MANDATORY FIRST STEPS (Execute by Agent)
**You (cli-explore-agent) MUST execute these steps in order:**
1. Run: ccw tool exec get_modules_by_depth '{}' (project structure)
2. Run: rg -l "{error_keyword_from_bug}" --type ts (locate relevant files)
3. Execute: cat ~/.claude/workflows/cli-templates/schemas/diagnosis-json-schema.json (get output schema reference)
4. Read: .workflow/project-tech.json (technology stack and architecture context)
5. Read: .workflow/project-guidelines.json (user-defined constraints and conventions)
## Diagnosis Strategy (${angle} focus)
**Step 1: Error Tracing** (Bash)
- rg for error messages, stack traces, log patterns
- git log --since='2 weeks ago' for recent changes
- Trace execution path in affected modules
**Step 2: Root Cause Analysis** (Gemini CLI)
- What code paths lead to this ${angle} issue?
- What edge cases are not handled from ${angle} perspective?
- What recent changes might have introduced this bug?
**Step 3: Write Output**
- Consolidate ${angle} findings into JSON
- Identify ${angle}-specific clarification needs
- Provide fix hints based on ${angle} analysis
## Expected Output
**Schema Reference**: Schema obtained in MANDATORY FIRST STEPS step 3, follow schema exactly
**Required Fields** (all ${angle} focused):
- symptom: Bug symptoms and error messages
- root_cause: Root cause hypothesis from ${angle} perspective
**IMPORTANT**: Use structured format:
\`{file: "src/module/file.ts", line_range: "45-60", issue: "Description", confidence: 0.85}\`
- affected_files: Files involved from ${angle} perspective
**IMPORTANT**: Use object format with relevance scores:
\`[{path: "src/file.ts", relevance: 0.85, rationale: "Contains ${angle} logic"}]\`
- reproduction_steps: Steps to reproduce the bug
- fix_hints: Suggested fix approaches from ${angle} viewpoint
- dependencies: Dependencies relevant to ${angle} diagnosis
- constraints: ${angle}-specific limitations affecting fix
- clarification_needs: ${angle}-related ambiguities (options array + recommended index)
- _metadata.diagnosis_angle: "${angle}"
- _metadata.diagnosis_index: ${index + 1}
## Success Criteria
- [ ] Schema obtained via cat diagnosis-json-schema.json
- [ ] get_modules_by_depth.sh executed
- [ ] Root cause identified with confidence score
- [ ] At least 3 affected files identified with ${angle} rationale
- [ ] Fix hints are actionable (specific code changes, not generic advice)
- [ ] Reproduction steps are verifiable
- [ ] JSON output follows schema exactly
- [ ] clarification_needs includes options + recommended
## Execution
**Write**: \`${sessionFolder}/diagnosis-${angle}.json\`
**Return**: 2-3 sentence summary of ${angle} diagnosis findings
`
)
)
// Execute all diagnosis tasks in parallel
```
**Auto-discover Generated Diagnosis Files**:
```javascript
// After diagnoses complete, auto-discover all diagnosis-*.json files
const diagnosisFiles = bash(`find ${sessionFolder} -name "diagnosis-*.json" -type f`)
.split('\n')
.filter(f => f.trim())
// Read metadata to build manifest
const diagnosisManifest = {
session_id: sessionId,
bug_description: bug_description,
timestamp: getUtc8ISOString(),
severity: severity,
diagnosis_count: diagnosisFiles.length,
diagnoses: diagnosisFiles.map(file => {
const data = JSON.parse(Read(file))
const filename = path.basename(file)
return {
angle: data._metadata.diagnosis_angle,
file: filename,
path: file,
index: data._metadata.diagnosis_index
}
})
}
Write(`${sessionFolder}/diagnoses-manifest.json`, JSON.stringify(diagnosisManifest, null, 2))
console.log(`
## Diagnosis Complete
Generated diagnosis files in ${sessionFolder}:
${diagnosisManifest.diagnoses.map(d => `- diagnosis-${d.angle}.json (angle: ${d.angle})`).join('\n')}
Manifest: diagnoses-manifest.json
Angles diagnosed: ${diagnosisManifest.diagnoses.map(d => d.angle).join(', ')}
`)
```
**Output**:
- `${sessionFolder}/diagnosis-{angle1}.json`
- `${sessionFolder}/diagnosis-{angle2}.json`
- ... (1-4 files based on severity)
- `${sessionFolder}/diagnoses-manifest.json`
---
### Phase 2: Clarification (Optional, Multi-Round)
**Skip if**: No diagnosis or `clarification_needs` is empty across all diagnoses
**⚠️ CRITICAL**: AskUserQuestion tool limits max 4 questions per call. **MUST execute multiple rounds** to exhaust all clarification needs - do NOT stop at round 1.
**Aggregate clarification needs from all diagnosis angles**:
```javascript
// Load manifest and all diagnosis files
const manifest = JSON.parse(Read(`${sessionFolder}/diagnoses-manifest.json`))
const diagnoses = manifest.diagnoses.map(diag => ({
angle: diag.angle,
data: JSON.parse(Read(diag.path))
}))
// Aggregate clarification needs from all diagnoses
const allClarifications = []
diagnoses.forEach(diag => {
if (diag.data.clarification_needs?.length > 0) {
diag.data.clarification_needs.forEach(need => {
allClarifications.push({
...need,
source_angle: diag.angle
})
})
}
})
// Deduplicate by question similarity
function deduplicateClarifications(clarifications) {
const unique = []
clarifications.forEach(c => {
const isDuplicate = unique.some(u =>
u.question.toLowerCase() === c.question.toLowerCase()
)
if (!isDuplicate) unique.push(c)
})
return unique
}
const uniqueClarifications = deduplicateClarifications(allClarifications)
// Parse --yes flag
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
if (autoYes) {
// Auto mode: Skip clarification phase
console.log(`[--yes] Skipping ${uniqueClarifications.length} clarification questions`)
console.log(`Proceeding to fix planning with diagnosis results...`)
// Continue to Phase 3
} else if (uniqueClarifications.length > 0) {
// Interactive mode: Multi-round clarification
// ⚠️ MUST execute ALL rounds until uniqueClarifications exhausted
const BATCH_SIZE = 4
const totalRounds = Math.ceil(uniqueClarifications.length / BATCH_SIZE)
for (let i = 0; i < uniqueClarifications.length; i += BATCH_SIZE) {
const batch = uniqueClarifications.slice(i, i + BATCH_SIZE)
const currentRound = Math.floor(i / BATCH_SIZE) + 1
console.log(`### Clarification Round ${currentRound}/${totalRounds}`)
AskUserQuestion({
questions: batch.map(need => ({
question: `[${need.source_angle}] ${need.question}\n\nContext: ${need.context}`,
header: need.source_angle,
multiSelect: false,
options: need.options.map((opt, index) => {
const isRecommended = need.recommended === index
return {
label: isRecommended ? `${opt}` : opt,
description: isRecommended ? `Use ${opt} approach (Recommended)` : `Use ${opt} approach`
}
})
}))
})
// Store batch responses in clarificationContext before next round
}
}
```
**Output**: `clarificationContext` (in-memory)
---
### Phase 3: Fix Planning
**Planning Strategy Selection** (based on Phase 1 severity):
**IMPORTANT**: Phase 3 is **planning only** - NO code execution. All execution happens in Phase 5 via lite-execute.
**Low/Medium Severity** - Direct planning by Claude:
```javascript
// Step 1: Read schema
const schema = Bash(`cat ~/.claude/workflows/cli-templates/schemas/fix-plan-json-schema.json`)
// Step 2: Generate fix-plan following schema (Claude directly, no agent)
// For Medium complexity: include rationale + verification (optional, but recommended)
const fixPlan = {
summary: "...",
root_cause: "...",
strategy: "immediate_patch|comprehensive_fix|refactor",
tasks: [...], // Each task: { id, title, scope, ..., depends_on, complexity }
estimated_time: "...",
recommended_execution: "Agent",
severity: severity,
risk_level: "...",
// Medium complexity fields (optional for direct planning, auto-filled for Low)
...(severity === "Medium" ? {
design_decisions: [
{
decision: "Use immediate_patch strategy for minimal risk",
rationale: "Keeps changes localized and quick to review",
tradeoff: "Defers comprehensive refactoring"
}
],
tasks_with_rationale: {
// Each task gets rationale if Medium
task_rationale_example: {
rationale: {
chosen_approach: "Direct fix approach",
alternatives_considered: ["Workaround", "Refactor"],
decision_factors: ["Minimal impact", "Quick turnaround"],
tradeoffs: "Doesn't address underlying issue"
},
verification: {
unit_tests: ["test_bug_fix_basic"],
integration_tests: [],
manual_checks: ["Reproduce issue", "Verify fix"],
success_metrics: ["Issue resolved", "No regressions"]
}
}
}
} : {}),
_metadata: {
timestamp: getUtc8ISOString(),
source: "direct-planning",
planning_mode: "direct",
complexity: severity === "Medium" ? "Medium" : "Low"
}
}
// Step 3: Merge task rationale into tasks array
if (severity === "Medium") {
fixPlan.tasks = fixPlan.tasks.map(task => ({
...task,
rationale: fixPlan.tasks_with_rationale[task.id]?.rationale || {
chosen_approach: "Standard fix",
alternatives_considered: [],
decision_factors: ["Correctness", "Simplicity"],
tradeoffs: "None"
},
verification: fixPlan.tasks_with_rationale[task.id]?.verification || {
unit_tests: [`test_${task.id}_basic`],
integration_tests: [],
manual_checks: ["Verify fix works"],
success_metrics: ["Test pass"]
}
}))
delete fixPlan.tasks_with_rationale // Clean up temp field
}
// Step 4: Write fix-plan to session folder
Write(`${sessionFolder}/fix-plan.json`, JSON.stringify(fixPlan, null, 2))
// Step 5: MUST continue to Phase 4 (Confirmation) - DO NOT execute code here
```
**High/Critical Severity** - Invoke cli-lite-planning-agent:
```javascript
Task(
subagent_type="cli-lite-planning-agent",
run_in_background=false,
description="Generate detailed fix plan",
prompt=`
Generate fix plan and write fix-plan.json.
## Output Location
**Session Folder**: ${sessionFolder}
**Output Files**:
- ${sessionFolder}/planning-context.md (evidence + understanding)
- ${sessionFolder}/fix-plan.json (fix plan)
## Output Schema Reference
Execute: cat ~/.claude/workflows/cli-templates/schemas/fix-plan-json-schema.json (get schema reference before generating plan)
## Project Context (MANDATORY - Read Both Files)
1. Read: .workflow/project-tech.json (technology stack, architecture, key components)
2. Read: .workflow/project-guidelines.json (user-defined constraints and conventions)
**CRITICAL**: All fix tasks MUST comply with constraints in project-guidelines.json
## Bug Description
${bug_description}
## Multi-Angle Diagnosis Context
${manifest.diagnoses.map(diag => `### Diagnosis: ${diag.angle} (${diag.file})
Path: ${diag.path}
Read this file for detailed ${diag.angle} analysis.`).join('\n\n')}
Total diagnoses: ${manifest.diagnosis_count}
Angles covered: ${manifest.diagnoses.map(d => d.angle).join(', ')}
Manifest: ${sessionFolder}/diagnoses-manifest.json
## User Clarifications
${JSON.stringify(clarificationContext) || "None"}
## Severity Level
${severity}
## Requirements
Generate fix-plan.json with:
- summary: 2-3 sentence overview of the fix
- root_cause: Consolidated root cause from all diagnoses
- strategy: "immediate_patch" | "comprehensive_fix" | "refactor"
- tasks: 1-5 structured fix tasks (**IMPORTANT: group by fix area, NOT by file**)
- **Task Granularity Principle**: Each task = one complete fix unit
- title: action verb + target (e.g., "Fix token validation edge case")
- scope: module path (src/auth/) or feature name
- action: "Fix" | "Update" | "Refactor" | "Add" | "Delete"
- description
- modification_points: ALL files to modify for this fix (group related changes)
- implementation (2-5 steps covering all modification_points)
- acceptance: Quantified acceptance criteria
- depends_on: task IDs this task depends on (use sparingly)
**High/Critical complexity fields per task** (REQUIRED):
- rationale:
- chosen_approach: Why this fix approach (not alternatives)
- alternatives_considered: Other approaches evaluated
- decision_factors: Key factors influencing choice
- tradeoffs: Known tradeoffs of this approach
- verification:
- unit_tests: Test names to add/verify
- integration_tests: Integration test names
- manual_checks: Manual verification steps
- success_metrics: Quantified success criteria
- risks:
- description: Risk description
- probability: Low|Medium|High
- impact: Low|Medium|High
- mitigation: How to mitigate
- fallback: Fallback if fix fails
- code_skeleton (optional): Key interfaces/functions to implement
- interfaces: [{name, definition, purpose}]
- key_functions: [{signature, purpose, returns}]
**Top-level High/Critical fields** (REQUIRED):
- data_flow: How data flows through affected code
- diagram: "A → B → C" style flow
- stages: [{stage, input, output, component}]
- design_decisions: Global fix decisions
- [{decision, rationale, tradeoff}]
- estimated_time, recommended_execution, severity, risk_level
- _metadata:
- timestamp, source, planning_mode
- complexity: "High" | "Critical"
- diagnosis_angles: ${JSON.stringify(manifest.diagnoses.map(d => d.angle))}
## Task Grouping Rules
1. **Group by fix area**: All changes for one fix = one task (even if 2-3 files)
2. **Avoid file-per-task**: Do NOT create separate tasks for each file
3. **Substantial tasks**: Each task should represent 10-45 minutes of work
4. **True dependencies only**: Only use depends_on when Task B cannot start without Task A's output
5. **Prefer parallel**: Most tasks should be independent (no depends_on)
## Execution
1. Read ALL diagnosis files for comprehensive context
2. Execute CLI planning using Gemini (Qwen fallback) with --rule planning-fix-strategy template
3. Synthesize findings from multiple diagnosis angles
4. Generate fix-plan with:
- For High/Critical: REQUIRED new fields (rationale, verification, risks, code_skeleton, data_flow, design_decisions)
- Each task MUST have rationale (why this fix), verification (how to verify success), and risks (potential issues)
5. Parse output and structure fix-plan
6. **Write**: \`${sessionFolder}/planning-context.md\` (evidence paths + understanding)
7. **Write**: \`${sessionFolder}/fix-plan.json\`
8. Return brief completion summary
## Output Format for CLI
Include these sections in your fix-plan output:
- Summary, Root Cause, Strategy (existing)
- Data Flow: Diagram showing affected code paths
- Design Decisions: Key architectural choices in the fix
- Tasks: Each with rationale (Medium/High), verification (Medium/High), risks (High), code_skeleton (High)
`
)
```
**Output**: `${sessionFolder}/fix-plan.json`
---
### Phase 4: Task Confirmation & Execution Selection
**Step 4.1: Display Fix Plan**
```javascript
const fixPlan = JSON.parse(Read(`${sessionFolder}/fix-plan.json`))
console.log(`
## Fix Plan
**Summary**: ${fixPlan.summary}
**Root Cause**: ${fixPlan.root_cause}
**Strategy**: ${fixPlan.strategy}
**Tasks** (${fixPlan.tasks.length}):
${fixPlan.tasks.map((t, i) => `${i+1}. ${t.title} (${t.scope})`).join('\n')}
**Severity**: ${fixPlan.severity}
**Risk Level**: ${fixPlan.risk_level}
**Estimated Time**: ${fixPlan.estimated_time}
**Recommended**: ${fixPlan.recommended_execution}
`)
```
**Step 4.2: Collect Confirmation**
```javascript
// Parse --yes flag
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
let userSelection
if (autoYes) {
// Auto mode: Use defaults
console.log(`[--yes] Auto-confirming fix plan:`)
console.log(` - Confirmation: Allow`)
console.log(` - Execution: Auto`)
console.log(` - Review: Skip`)
userSelection = {
confirmation: "Allow",
execution_method: "Auto",
code_review_tool: "Skip"
}
} else {
// Interactive mode: Ask user
userSelection = AskUserQuestion({
questions: [
{
question: `Confirm fix plan? (${fixPlan.tasks.length} tasks, ${fixPlan.severity} severity)`,
header: "Confirm",
multiSelect: false,
options: [
{ label: "Allow", description: "Proceed as-is" },
{ label: "Modify", description: "Adjust before execution" },
{ label: "Cancel", description: "Abort workflow" }
]
},
{
question: "Execution method:",
header: "Execution",
multiSelect: false,
options: [
{ label: "Agent", description: "@code-developer agent" },
{ label: "Codex", description: "codex CLI tool" },
{ label: "Auto", description: `Auto: ${fixPlan.severity === 'Low' ? 'Agent' : 'Codex'}` }
]
},
{
question: "Code review after fix?",
header: "Review",
multiSelect: false,
options: [
{ label: "Gemini Review", description: "Gemini CLI" },
{ label: "Agent Review", description: "@code-reviewer" },
{ label: "Skip", description: "No review" }
]
}
]
})
}
```
---
### Phase 5: Execute to Execution
**CRITICAL**: lite-fix NEVER executes code directly. ALL execution MUST go through lite-execute.
**Step 5.1: Build executionContext**
```javascript
// Load manifest and all diagnosis files
const manifest = JSON.parse(Read(`${sessionFolder}/diagnoses-manifest.json`))
const diagnoses = {}
manifest.diagnoses.forEach(diag => {
if (file_exists(diag.path)) {
diagnoses[diag.angle] = JSON.parse(Read(diag.path))
}
})
const fixPlan = JSON.parse(Read(`${sessionFolder}/fix-plan.json`))
executionContext = {
mode: "bugfix",
severity: fixPlan.severity,
planObject: {
...fixPlan,
// Ensure complexity is set based on severity for new field consumption
complexity: fixPlan.complexity || (fixPlan.severity === 'Critical' ? 'High' : (fixPlan.severity === 'High' ? 'High' : 'Medium'))
},
diagnosisContext: diagnoses,
diagnosisAngles: manifest.diagnoses.map(d => d.angle),
diagnosisManifest: manifest,
clarificationContext: clarificationContext || null,
executionMethod: userSelection.execution_method,
codeReviewTool: userSelection.code_review_tool,
originalUserInput: bug_description,
session: {
id: sessionId,
folder: sessionFolder,
artifacts: {
diagnoses: manifest.diagnoses.map(diag => ({
angle: diag.angle,
path: diag.path
})),
diagnoses_manifest: `${sessionFolder}/diagnoses-manifest.json`,
fix_plan: `${sessionFolder}/fix-plan.json`
}
}
}
```
**Step 5.2: Execute**
```javascript
// Hand off to Phase 4: Lite Execute (phases/04-lite-execute.md) --in-memory --mode bugfix
// executionContext is passed in-memory to the execution phase
```
## Session Folder Structure
```
.workflow/.lite-fix/{bug-slug}-{YYYY-MM-DD}/
├── diagnosis-{angle1}.json # Diagnosis angle 1
├── diagnosis-{angle2}.json # Diagnosis angle 2
├── diagnosis-{angle3}.json # Diagnosis angle 3 (if applicable)
├── diagnosis-{angle4}.json # Diagnosis angle 4 (if applicable)
├── diagnoses-manifest.json # Diagnosis index
├── planning-context.md # Evidence + understanding
└── fix-plan.json # Fix plan
```
**Example**:
```
.workflow/.lite-fix/user-avatar-upload-fails-413-2025-11-25/
├── diagnosis-error-handling.json
├── diagnosis-dataflow.json
├── diagnosis-validation.json
├── diagnoses-manifest.json
├── planning-context.md
└── fix-plan.json
```
## Error Handling
| Error | Resolution |
|-------|------------|
| Diagnosis agent failure | Skip diagnosis, continue with bug description only |
| Planning agent failure | Fallback to direct planning by Claude |
| Clarification timeout | Use diagnosis findings as-is |
| Confirmation timeout | Save context, display resume instructions |
| Modify loop > 3 times | Suggest breaking task or using full planning workflow (workflow-plan/SKILL.md) |
| Root cause unclear | Extend diagnosis time or use broader angles |
| Too complex for lite-fix | Escalate to full planning workflow (workflow-plan/SKILL.md) |
---
## Post-Phase Update
After Phase 3 (Lite Fix) completes:
- **Output Created**: `executionContext` with fix-plan.json, diagnoses, clarifications, user selections
- **Session Artifacts**: All files in `.workflow/.lite-fix/{session-id}/`
- **Next Action**: Auto-continue to [Phase 4: Lite Execute](04-lite-execute.md) with --in-memory --mode bugfix
- **TodoWrite**: Mark "Lite Fix - Planning" as completed, start "Execution (Phase 4)"

View File

@@ -0,0 +1,738 @@
# Phase 4: Lite Execute
## Overview
Flexible task execution phase supporting three input modes: in-memory plan (from planning phases), direct prompt description, or file content. Handles execution orchestration, progress tracking, and optional code review.
**Core capabilities:**
- Multi-mode input (in-memory plan, prompt description, or file path)
- Execution orchestration (Agent or Codex) with full context
- Live progress tracking via TodoWrite at execution call level
- Optional code review with selected tool (Gemini, Agent, or custom)
- Context continuity across multiple executions
- Intelligent format detection (Enhanced Task JSON vs plain text)
## Parameters
- `--in-memory`: Use plan from memory (called by planning phases)
- `<input>`: Task description string, or path to file (required)
## Input Modes
### Mode 1: In-Memory Plan
**Trigger**: Called by planning phase after confirmation with `--in-memory` flag
**Input Source**: `executionContext` global variable set by planning phase
**Content**: Complete execution context (see Data Structures section)
**Behavior**:
- Skip execution method selection (already set by planning phase)
- Directly proceed to execution with full context
- All planning artifacts available (exploration, clarifications, plan)
### Mode 2: Prompt Description
**Trigger**: User calls with task description string
**Input**: Simple task description (e.g., "Add unit tests for auth module")
**Behavior**:
- Store prompt as `originalUserInput`
- Create simple execution plan from prompt
- AskUserQuestion: Select execution method (Agent/Codex/Auto)
- AskUserQuestion: Select code review tool (Skip/Gemini/Agent/Other)
- Proceed to execution with `originalUserInput` included
**User Interaction**:
```javascript
// Parse --yes flag
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
let userSelection
if (autoYes) {
// Auto mode: Use defaults
console.log(`[--yes] Auto-confirming execution:`)
console.log(` - Execution method: Auto`)
console.log(` - Code review: Skip`)
userSelection = {
execution_method: "Auto",
code_review_tool: "Skip"
}
} else {
// Interactive mode: Ask user
userSelection = AskUserQuestion({
questions: [
{
question: "Select execution method:",
header: "Execution",
multiSelect: false,
options: [
{ label: "Agent", description: "@code-developer agent" },
{ label: "Codex", description: "codex CLI tool" },
{ label: "Auto", description: "Auto-select based on complexity" }
]
},
{
question: "Enable code review after execution?",
header: "Code Review",
multiSelect: false,
options: [
{ label: "Skip", description: "No review" },
{ label: "Gemini Review", description: "Gemini CLI tool" },
{ label: "Codex Review", description: "Git-aware review (prompt OR --uncommitted)" },
{ label: "Agent Review", description: "Current agent review" }
]
}
]
})
}
```
### Mode 3: File Content
**Trigger**: User calls with file path
**Input**: Path to file containing task description or plan.json
**Step 1: Read and Detect Format**
```javascript
fileContent = Read(filePath)
// Attempt JSON parsing
try {
jsonData = JSON.parse(fileContent)
// Check if plan.json from lite-plan session
if (jsonData.summary && jsonData.approach && jsonData.tasks) {
planObject = jsonData
originalUserInput = jsonData.summary
isPlanJson = true
} else {
// Valid JSON but not plan.json - treat as plain text
originalUserInput = fileContent
isPlanJson = false
}
} catch {
// Not valid JSON - treat as plain text prompt
originalUserInput = fileContent
isPlanJson = false
}
```
**Step 2: Create Execution Plan**
If `isPlanJson === true`:
- Use `planObject` directly
- User selects execution method and code review
If `isPlanJson === false`:
- Treat file content as prompt (same behavior as Mode 2)
- Create simple execution plan from content
**Step 3: User Interaction**
- AskUserQuestion: Select execution method (Agent/Codex/Auto)
- AskUserQuestion: Select code review tool
- Proceed to execution with full context
## Execution Process
```
Input Parsing:
└─ Decision (mode detection):
├─ --in-memory flag → Mode 1: Load executionContext → Skip user selection
├─ Ends with .md/.json/.txt → Mode 3: Read file → Detect format
│ ├─ Valid plan.json → Use planObject → User selects method + review
│ └─ Not plan.json → Treat as prompt → User selects method + review
└─ Other → Mode 2: Prompt description → User selects method + review
Execution:
├─ Step 1: Initialize result tracking (previousExecutionResults = [])
├─ Step 2: Task grouping & batch creation
│ ├─ Extract explicit depends_on (no file/keyword inference)
│ ├─ Group: independent tasks → single parallel batch (maximize utilization)
│ ├─ Group: dependent tasks → sequential phases (respect dependencies)
│ └─ Create TodoWrite list for batches
├─ Step 3: Launch execution
│ ├─ Phase 1: All independent tasks (single batch, concurrent)
│ └─ Phase 2+: Dependent tasks by dependency order
├─ Step 4: Track progress (TodoWrite updates per batch)
└─ Step 5: Code review (if codeReviewTool ≠ "Skip")
Output:
└─ Execution complete with results in previousExecutionResults[]
```
## Detailed Execution Steps
### Step 1: Initialize Execution Tracking
**Operations**:
- Initialize result tracking for multi-execution scenarios
- Set up `previousExecutionResults` array for context continuity
- **In-Memory Mode**: Echo execution strategy from planning phase for transparency
```javascript
// Initialize result tracking
previousExecutionResults = []
// In-Memory Mode: Echo execution strategy (transparency before execution)
if (executionContext) {
console.log(`
Execution Strategy (from planning phase):
Method: ${executionContext.executionMethod}
Review: ${executionContext.codeReviewTool}
Tasks: ${executionContext.planObject.tasks.length}
Complexity: ${executionContext.planObject.complexity}
${executionContext.executorAssignments ? ` Assignments: ${JSON.stringify(executionContext.executorAssignments)}` : ''}
`)
}
```
### Step 2: Task Grouping & Batch Creation
**Dependency Analysis & Grouping Algorithm**:
```javascript
// Use explicit depends_on from plan.json (no inference from file/keywords)
function extractDependencies(tasks) {
const taskIdToIndex = {}
tasks.forEach((t, i) => { taskIdToIndex[t.id] = i })
return tasks.map((task, i) => {
// Only use explicit depends_on from plan.json
const deps = (task.depends_on || [])
.map(depId => taskIdToIndex[depId])
.filter(idx => idx !== undefined && idx < i)
return { ...task, taskIndex: i, dependencies: deps }
})
}
// Group into batches: maximize parallel execution
function createExecutionCalls(tasks, executionMethod) {
const tasksWithDeps = extractDependencies(tasks)
const processed = new Set()
const calls = []
// Phase 1: All independent tasks → single parallel batch (maximize utilization)
const independentTasks = tasksWithDeps.filter(t => t.dependencies.length === 0)
if (independentTasks.length > 0) {
independentTasks.forEach(t => processed.add(t.taskIndex))
calls.push({
method: executionMethod,
executionType: "parallel",
groupId: "P1",
taskSummary: independentTasks.map(t => t.title).join(' | '),
tasks: independentTasks
})
}
// Phase 2: Dependent tasks → sequential batches (respect dependencies)
let sequentialIndex = 1
let remaining = tasksWithDeps.filter(t => !processed.has(t.taskIndex))
while (remaining.length > 0) {
// Find tasks whose dependencies are all satisfied
const ready = remaining.filter(t =>
t.dependencies.every(d => processed.has(d))
)
if (ready.length === 0) {
console.warn('Circular dependency detected, forcing remaining tasks')
ready.push(...remaining)
}
// Group ready tasks (can run in parallel within this phase)
ready.forEach(t => processed.add(t.taskIndex))
calls.push({
method: executionMethod,
executionType: ready.length > 1 ? "parallel" : "sequential",
groupId: ready.length > 1 ? `P${calls.length + 1}` : `S${sequentialIndex++}`,
taskSummary: ready.map(t => t.title).join(ready.length > 1 ? ' | ' : ' → '),
tasks: ready
})
remaining = remaining.filter(t => !processed.has(t.taskIndex))
}
return calls
}
executionCalls = createExecutionCalls(planObject.tasks, executionMethod).map(c => ({ ...c, id: `[${c.groupId}]` }))
TodoWrite({
todos: executionCalls.map(c => ({
content: `${c.executionType === "parallel" ? "⚡" : "→"} ${c.id} (${c.tasks.length} tasks)`,
status: "pending",
activeForm: `Executing ${c.id}`
}))
})
```
### Step 3: Launch Execution
**Executor Resolution** (任务级 executor 优先于全局设置):
```javascript
// 获取任务的 executor优先使用 executorAssignmentsfallback 到全局 executionMethod
function getTaskExecutor(task) {
const assignments = executionContext?.executorAssignments || {}
if (assignments[task.id]) {
return assignments[task.id].executor // 'gemini' | 'codex' | 'agent'
}
// Fallback: 全局 executionMethod 映射
const method = executionContext?.executionMethod || 'Auto'
if (method === 'Agent') return 'agent'
if (method === 'Codex') return 'codex'
// Auto: 根据复杂度
return planObject.complexity === 'Low' ? 'agent' : 'codex'
}
// 按 executor 分组任务
function groupTasksByExecutor(tasks) {
const groups = { gemini: [], codex: [], agent: [] }
tasks.forEach(task => {
const executor = getTaskExecutor(task)
groups[executor].push(task)
})
return groups
}
```
**Execution Flow**: Parallel batches concurrently → Sequential batches in order
```javascript
const parallel = executionCalls.filter(c => c.executionType === "parallel")
const sequential = executionCalls.filter(c => c.executionType === "sequential")
// Phase 1: Launch all parallel batches (single message with multiple tool calls)
if (parallel.length > 0) {
TodoWrite({ todos: executionCalls.map(c => ({ status: c.executionType === "parallel" ? "in_progress" : "pending" })) })
parallelResults = await Promise.all(parallel.map(c => executeBatch(c)))
previousExecutionResults.push(...parallelResults)
TodoWrite({ todos: executionCalls.map(c => ({ status: parallel.includes(c) ? "completed" : "pending" })) })
}
// Phase 2: Execute sequential batches one by one
for (const call of sequential) {
TodoWrite({ todos: executionCalls.map(c => ({ status: c === call ? "in_progress" : "..." })) })
result = await executeBatch(call)
previousExecutionResults.push(result)
TodoWrite({ todos: executionCalls.map(c => ({ status: "completed" or "pending" })) })
}
```
### Unified Task Prompt Builder
**Task Formatting Principle**: Each task is a self-contained checklist. The executor only needs to know what THIS task requires. Same template for Agent and CLI.
```javascript
function buildExecutionPrompt(batch) {
// Task template (6 parts: Modification Points → Why → How → Reference → Risks → Done)
const formatTask = (t) => `
## ${t.title}
**Scope**: \`${t.scope}\` | **Action**: ${t.action}
### Modification Points
${t.modification_points.map(p => `- **${p.file}** → \`${p.target}\`: ${p.change}`).join('\n')}
${t.rationale ? `
### Why this approach (Medium/High)
${t.rationale.chosen_approach}
${t.rationale.decision_factors?.length > 0 ? `\nKey factors: ${t.rationale.decision_factors.join(', ')}` : ''}
${t.rationale.tradeoffs ? `\nTradeoffs: ${t.rationale.tradeoffs}` : ''}
` : ''}
### How to do it
${t.description}
${t.implementation.map(step => `- ${step}`).join('\n')}
${t.code_skeleton ? `
### Code skeleton (High)
${t.code_skeleton.interfaces?.length > 0 ? `**Interfaces**: ${t.code_skeleton.interfaces.map(i => `\`${i.name}\` - ${i.purpose}`).join(', ')}` : ''}
${t.code_skeleton.key_functions?.length > 0 ? `\n**Functions**: ${t.code_skeleton.key_functions.map(f => `\`${f.signature}\` - ${f.purpose}`).join(', ')}` : ''}
${t.code_skeleton.classes?.length > 0 ? `\n**Classes**: ${t.code_skeleton.classes.map(c => `\`${c.name}\` - ${c.purpose}`).join(', ')}` : ''}
` : ''}
### Reference
- Pattern: ${t.reference?.pattern || 'N/A'}
- Files: ${t.reference?.files?.join(', ') || 'N/A'}
${t.reference?.examples ? `- Notes: ${t.reference.examples}` : ''}
${t.risks?.length > 0 ? `
### Risk mitigations (High)
${t.risks.map(r => `- ${r.description} → **${r.mitigation}**`).join('\n')}
` : ''}
### Done when
${t.acceptance.map(c => `- [ ] ${c}`).join('\n')}
${t.verification?.success_metrics?.length > 0 ? `\n**Success metrics**: ${t.verification.success_metrics.join(', ')}` : ''}`
// Build prompt
const sections = []
if (originalUserInput) sections.push(`## Goal\n${originalUserInput}`)
sections.push(`## Tasks\n${batch.tasks.map(formatTask).join('\n\n---\n')}`)
// Context (reference only)
const context = []
if (previousExecutionResults.length > 0) {
context.push(`### Previous Work\n${previousExecutionResults.map(r => `- ${r.tasksSummary}: ${r.status}`).join('\n')}`)
}
if (clarificationContext) {
context.push(`### Clarifications\n${Object.entries(clarificationContext).map(([q, a]) => `- ${q}: ${a}`).join('\n')}`)
}
if (executionContext?.planObject?.data_flow?.diagram) {
context.push(`### Data Flow\n${executionContext.planObject.data_flow.diagram}`)
}
if (executionContext?.session?.artifacts?.plan) {
context.push(`### Artifacts\nPlan: ${executionContext.session.artifacts.plan}`)
}
// Project guidelines (user-defined constraints)
context.push(`### Project Guidelines\n@.workflow/project-guidelines.json`)
if (context.length > 0) sections.push(`## Context\n${context.join('\n\n')}`)
sections.push(`Complete each task according to its "Done when" checklist.`)
return sections.join('\n\n')
}
```
**Option A: Agent Execution**
When to use:
- `getTaskExecutor(task) === "agent"`
- or `executionMethod = "Agent"` (global fallback)
- or `executionMethod = "Auto" AND complexity = "Low"` (global fallback)
```javascript
Task(
subagent_type="code-developer",
run_in_background=false,
description=batch.taskSummary,
prompt=buildExecutionPrompt(batch)
)
```
**Result Collection**: After completion, collect result following `executionResult` structure (see Data Structures section)
**Option B: CLI Execution (Codex)**
When to use:
- `getTaskExecutor(task) === "codex"`
- or `executionMethod = "Codex"` (global fallback)
- or `executionMethod = "Auto" AND complexity = "Medium/High"` (global fallback)
```bash
ccw cli -p "${buildExecutionPrompt(batch)}" --tool codex --mode write
```
**Execution with fixed IDs** (predictable ID pattern):
```javascript
// Launch CLI in background, wait for task hook callback
// Generate fixed execution ID: ${sessionId}-${groupId}
const sessionId = executionContext?.session?.id || 'standalone'
const fixedExecutionId = `${sessionId}-${batch.groupId}` // e.g., "implement-auth-2025-12-13-P1"
// Check if resuming from previous failed execution
const previousCliId = batch.resumeFromCliId || null
// Build command with fixed ID (and optional resume for continuation)
const cli_command = previousCliId
? `ccw cli -p "${buildExecutionPrompt(batch)}" --tool codex --mode write --id ${fixedExecutionId} --resume ${previousCliId}`
: `ccw cli -p "${buildExecutionPrompt(batch)}" --tool codex --mode write --id ${fixedExecutionId}`
// Execute in background, stop output and wait for task hook callback
Bash(
command=cli_command,
run_in_background=true
)
// STOP HERE - CLI executes in background, task hook will notify on completion
```
**Resume on Failure** (with fixed ID):
```javascript
// If execution failed or timed out, offer resume option
if (bash_result.status === 'failed' || bash_result.status === 'timeout') {
console.log(`
Execution incomplete. Resume available:
Fixed ID: ${fixedExecutionId}
Lookup: ccw cli detail ${fixedExecutionId}
Resume: ccw cli -p "Continue tasks" --resume ${fixedExecutionId} --tool codex --mode write --id ${fixedExecutionId}-retry
`)
// Store for potential retry in same session
batch.resumeFromCliId = fixedExecutionId
}
```
**Result Collection**: After completion, analyze output and collect result following `executionResult` structure (include `cliExecutionId` for resume capability)
**Option C: CLI Execution (Gemini)**
When to use: `getTaskExecutor(task) === "gemini"` (analysis tasks)
```bash
# Use unified buildExecutionPrompt, switch tool and mode
ccw cli -p "${buildExecutionPrompt(batch)}" --tool gemini --mode analysis --id ${sessionId}-${batch.groupId}
```
### Step 4: Progress Tracking
Progress tracked at batch level (not individual task level). Icons: ⚡ (parallel, concurrent), → (sequential, one-by-one)
### Step 5: Code Review (Optional)
**Skip Condition**: Only run if `codeReviewTool ≠ "Skip"`
**Review Focus**: Verify implementation against plan acceptance criteria and verification requirements
- Read plan.json for task acceptance criteria and verification checklist
- Check each acceptance criterion is fulfilled
- Verify success metrics from verification field (Medium/High complexity)
- Run unit/integration tests specified in verification field
- Validate code quality and identify issues
- Ensure alignment with planned approach and risk mitigations
**Operations**:
- Agent Review: Current agent performs direct review
- Gemini Review: Execute gemini CLI with review prompt
- Codex Review: Two options - (A) with prompt for complex reviews, (B) `--uncommitted` flag only for quick reviews
- Custom tool: Execute specified CLI tool (qwen, etc.)
**Unified Review Template** (All tools use same standard):
**Review Criteria**:
- **Acceptance Criteria**: Verify each criterion from plan.tasks[].acceptance
- **Verification Checklist** (Medium/High): Check unit_tests, integration_tests, success_metrics from plan.tasks[].verification
- **Code Quality**: Analyze quality, identify issues, suggest improvements
- **Plan Alignment**: Validate implementation matches planned approach and risk mitigations
**Shared Prompt Template** (used by all CLI tools):
```
PURPOSE: Code review for implemented changes against plan acceptance criteria and verification requirements
TASK: • Verify plan acceptance criteria fulfillment • Check verification requirements (unit tests, success metrics) • Analyze code quality • Identify issues • Suggest improvements • Validate plan adherence and risk mitigations
MODE: analysis
CONTEXT: @**/* @{plan.json} [@{exploration.json}] | Memory: Review lite-execute changes against plan requirements including verification checklist
EXPECTED: Quality assessment with:
- Acceptance criteria verification (all tasks)
- Verification checklist validation (Medium/High: unit_tests, integration_tests, success_metrics)
- Issue identification
- Recommendations
Explicitly check each acceptance criterion and verification item from plan.json tasks.
CONSTRAINTS: Focus on plan acceptance criteria, verification requirements, and plan adherence | analysis=READ-ONLY
```
**Tool-Specific Execution** (Apply shared prompt template above):
```bash
# Method 1: Agent Review (current agent)
# - Read plan.json: ${executionContext.session.artifacts.plan}
# - Apply unified review criteria (see Shared Prompt Template)
# - Report findings directly
# Method 2: Gemini Review (recommended)
ccw cli -p "[Shared Prompt Template with artifacts]" --tool gemini --mode analysis
# CONTEXT includes: @**/* @${plan.json} [@${exploration.json}]
# Method 3: Qwen Review (alternative)
ccw cli -p "[Shared Prompt Template with artifacts]" --tool qwen --mode analysis
# Same prompt as Gemini, different execution engine
# Method 4: Codex Review (git-aware) - Two mutually exclusive options:
# Option A: With custom prompt (reviews uncommitted by default)
ccw cli -p "[Shared Prompt Template with artifacts]" --tool codex --mode review
# Use for complex reviews with specific focus areas
# Option B: Target flag only (no prompt allowed)
ccw cli --tool codex --mode review --uncommitted
# Quick review of uncommitted changes without custom instructions
# IMPORTANT: -p prompt and target flags (--uncommitted/--base/--commit) are MUTUALLY EXCLUSIVE
```
**Multi-Round Review with Fixed IDs**:
```javascript
// Generate fixed review ID
const reviewId = `${sessionId}-review`
// First review pass with fixed ID
const reviewResult = Bash(`ccw cli -p "[Review prompt]" --tool gemini --mode analysis --id ${reviewId}`)
// If issues found, continue review dialog with fixed ID chain
if (hasUnresolvedIssues(reviewResult)) {
// Resume with follow-up questions
Bash(`ccw cli -p "Clarify the security concerns you mentioned" --resume ${reviewId} --tool gemini --mode analysis --id ${reviewId}-followup`)
}
```
**Implementation Note**: Replace `[Shared Prompt Template with artifacts]` placeholder with actual template content, substituting:
- `@{plan.json}``@${executionContext.session.artifacts.plan}`
- `[@{exploration.json}]` → exploration files from artifacts (if exists)
### Step 6: Update Development Index
**Trigger**: After all executions complete (regardless of code review)
**Skip Condition**: Skip if `.workflow/project-tech.json` does not exist
**Operations**:
```javascript
const projectJsonPath = '.workflow/project-tech.json'
if (!fileExists(projectJsonPath)) return // Silent skip
const projectJson = JSON.parse(Read(projectJsonPath))
// Initialize if needed
if (!projectJson.development_index) {
projectJson.development_index = { feature: [], enhancement: [], bugfix: [], refactor: [], docs: [] }
}
// Detect category from keywords
function detectCategory(text) {
text = text.toLowerCase()
if (/\b(fix|bug|error|issue|crash)\b/.test(text)) return 'bugfix'
if (/\b(refactor|cleanup|reorganize)\b/.test(text)) return 'refactor'
if (/\b(doc|readme|comment)\b/.test(text)) return 'docs'
if (/\b(add|new|create|implement)\b/.test(text)) return 'feature'
return 'enhancement'
}
// Detect sub_feature from task file paths
function detectSubFeature(tasks) {
const dirs = tasks.map(t => t.file?.split('/').slice(-2, -1)[0]).filter(Boolean)
const counts = dirs.reduce((a, d) => { a[d] = (a[d] || 0) + 1; return a }, {})
return Object.entries(counts).sort((a, b) => b[1] - a[1])[0]?.[0] || 'general'
}
const category = detectCategory(`${planObject.summary} ${planObject.approach}`)
const entry = {
title: planObject.summary.slice(0, 60),
sub_feature: detectSubFeature(planObject.tasks),
date: new Date().toISOString().split('T')[0],
description: planObject.approach.slice(0, 100),
status: previousExecutionResults.every(r => r.status === 'completed') ? 'completed' : 'partial',
session_id: executionContext?.session?.id || null
}
projectJson.development_index[category].push(entry)
projectJson.statistics.last_updated = new Date().toISOString()
Write(projectJsonPath, JSON.stringify(projectJson, null, 2))
console.log(`Development index: [${category}] ${entry.title}`)
```
## Best Practices
**Input Modes**: In-memory (planning phase), prompt (standalone), file (JSON/text)
**Task Grouping**: Based on explicit depends_on only; independent tasks run in single parallel batch
**Execution**: All independent tasks launch concurrently via single Claude message with multiple tool calls
## Error Handling
| Error | Cause | Resolution |
|-------|-------|------------|
| Missing executionContext | --in-memory without context | Error: "No execution context found. Only available when called by planning phase." |
| File not found | File path doesn't exist | Error: "File not found: {path}. Check file path." |
| Empty file | File exists but no content | Error: "File is empty: {path}. Provide task description." |
| Invalid Enhanced Task JSON | JSON missing required fields | Warning: "Missing required fields. Treating as plain text." |
| Malformed JSON | JSON parsing fails | Treat as plain text (expected for non-JSON files) |
| Execution failure | Agent/Codex crashes | Display error, use fixed ID `${sessionId}-${groupId}` for resume: `ccw cli -p "Continue" --resume <fixed-id> --id <fixed-id>-retry` |
| Execution timeout | CLI exceeded timeout | Use fixed ID for resume with extended timeout |
| Codex unavailable | Codex not installed | Show installation instructions, offer Agent execution |
| Fixed ID not found | Custom ID lookup failed | Check `ccw cli history`, verify date directories |
## Data Structures
### executionContext (Input - Mode 1)
Passed from planning phase via global variable:
```javascript
{
planObject: {
summary: string,
approach: string,
tasks: [...],
estimated_time: string,
recommended_execution: string,
complexity: string
},
explorationsContext: {...} | null, // Multi-angle explorations
explorationAngles: string[], // List of exploration angles
explorationManifest: {...} | null, // Exploration manifest
clarificationContext: {...} | null,
executionMethod: "Agent" | "Codex" | "Auto", // Global default
codeReviewTool: "Skip" | "Gemini Review" | "Agent Review" | string,
originalUserInput: string,
// Task-level executor assignments (priority over executionMethod)
executorAssignments: {
[taskId]: { executor: "gemini" | "codex" | "agent", reason: string }
},
// Session artifacts location (saved by planning phase)
session: {
id: string, // Session identifier: {taskSlug}-{shortTimestamp}
folder: string, // Session folder path: .workflow/.lite-plan/{session-id}
artifacts: {
explorations: [{angle, path}], // exploration-{angle}.json paths
explorations_manifest: string, // explorations-manifest.json path
plan: string // plan.json path (always present)
}
}
}
```
**Artifact Usage**:
- Artifact files contain detailed planning context
- Pass artifact paths to CLI tools and agents for enhanced context
- See execution options above for usage examples
### executionResult (Output)
Collected after each execution call completes:
```javascript
{
executionId: string, // e.g., "[Agent-1]", "[Codex-1]"
status: "completed" | "partial" | "failed",
tasksSummary: string, // Brief description of tasks handled
completionSummary: string, // What was completed
keyOutputs: string, // Files created/modified, key changes
notes: string, // Important context for next execution
fixedCliId: string | null // Fixed CLI execution ID (e.g., "implement-auth-2025-12-13-P1")
}
```
Appended to `previousExecutionResults` array for context continuity in multi-execution scenarios.
## Post-Completion Expansion
After completion, ask user whether to expand as issue (test/enhance/refactor/doc). Selected items create new issues accordingly.
**Fixed ID Pattern**: `${sessionId}-${groupId}` enables predictable lookup without auto-generated timestamps.
**Resume Usage**: If `status` is "partial" or "failed", use `fixedCliId` to resume:
```bash
# Lookup previous execution
ccw cli detail ${fixedCliId}
# Resume with new fixed ID for retry
ccw cli -p "Continue from where we left off" --resume ${fixedCliId} --tool codex --mode write --id ${fixedCliId}-retry
```
---
## Post-Phase Update
After Phase 4 (Lite Execute) completes:
- **Output Created**: Executed tasks, optional code review results, updated development index
- **Execution Results**: `previousExecutionResults[]` with status per batch
- **Next Action**: Workflow complete. Optionally expand to issue (test/enhance/refactor/doc)
- **TodoWrite**: Mark all execution batches as completed