- Remove detailed plan.json structure from prompt (agent reads schema file) - Clarify execution steps: agent reads schema first, then explores and generates - Remove ambiguous "Execute CLI planning using Gemini" step 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
20 KiB
name, description, argument-hint, allowed-tools
| name | description | argument-hint | allowed-tools |
|---|---|---|---|
| lite-plan | Lightweight interactive planning workflow with in-memory planning, code exploration, and execution dispatch to lite-execute after user confirmation | [-e|--explore] "task description"|file.md | TodoWrite(*), Task(*), SlashCommand(*), AskUserQuestion(*) |
Workflow Lite-Plan Command (/workflow: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 /workflow:lite-execute.
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 strategy (direct Claude vs cli-lite-planning-agent) based on complexity
- Two-step confirmation: plan display → multi-dimensional input collection
- Execution dispatch with complete context handoff to lite-execute
Usage
/workflow:lite-plan [FLAGS] <TASK_DESCRIPTION>
# Flags
-e, --explore Force code exploration phase (overrides auto-detection)
# Arguments
<task-description> Task description or path to .md file (required)
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 → MUST proceed to Phase 4
└─ Medium/High → cli-lite-planning-agent → plan.json → MUST proceed to Phase 4
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: Dispatch
├─ Build executionContext (plan + explorations + clarifications + selections)
└─ SlashCommand("/workflow:lite-execute --in-memory")
Implementation
Phase 1: Intelligent Multi-Angle Exploration
Session Setup (MANDATORY - follow exactly):
// 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:
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):
// 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))
console.log(`
## Exploration Plan
Task Complexity: ${complexity}
Selected Angles: ${selectedAngles.join(', ')}
Launching ${selectedAngles.length} parallel explorations...
`)
Launch Parallel Explorations - Orchestrator assigns angle to each agent:
⚠️ CRITICAL - NO BACKGROUND EXECUTION:
- MUST NOT use
run_in_background: true- exploration results are REQUIRED before planning
// Launch agents with pre-assigned angles
const explorationTasks = selectedAngles.map((angle, index) =>
Task(
subagent_type="cli-explore-agent",
run_in_background=false, // ⚠️ MANDATORY: Must wait for results
description=`Explore: ${angle}`,
prompt=`
## Task Objective
Execute **${angle}** exploration for task planning context. Analyze codebase from this specific angle to discover relevant structure, patterns, and constraints.
## Assigned Context
- **Exploration Angle**: ${angle}
- **Task Description**: ${task_description}
- **Exploration Index**: ${index + 1} of ${selectedAngles.length}
- **Output File**: ${sessionFolder}/exploration-${angle}.json
## 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 "{keyword_from_task}" --type ts (locate relevant files)
3. Execute: cat ~/.claude/workflows/cli-templates/schemas/explore-json-schema.json (get output schema reference)
## 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
**File**: ${sessionFolder}/exploration-${angle}.json
**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
## Output
Write: ${sessionFolder}/exploration-${angle}.json
Return: 2-3 sentence summary of ${angle} findings
`
)
)
// Execute all exploration tasks in parallel
Auto-discover Generated Exploration Files:
// 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)
${sessionFolder}/explorations-manifest.json
Phase 2: Clarification (Optional, Multi-Round)
Skip if: No exploration or clarification_needs is empty across all explorations
⚠️ CRITICAL: AskUserQuestion tool limits max 4 questions per call. MUST execute multiple rounds to exhaust all clarification needs - do NOT stop at round 1.
Aggregate clarification needs from all exploration angles:
// Load manifest and all exploration files
const manifest = JSON.parse(Read(`${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)
// Multi-round clarification: batch questions (max 4 per round)
if (dedupedClarifications.length > 0) {
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 ${opt}`
}))
}))
})
// Store batch responses in clarificationContext before next round
}
}
Output: clarificationContext (in-memory)
Phase 3: Planning
Planning Strategy Selection (based on Phase 1 complexity):
IMPORTANT: Phase 3 is planning only - NO code execution. All execution happens in Phase 5 via lite-execute.
Low Complexity - Direct planning by Claude:
// Step 1: Read schema
const schema = Bash(`cat ~/.claude/workflows/cli-templates/schemas/plan-json-schema.json`)
// Step 2: ⚠️ MANDATORY - Read and review ALL exploration files
const manifest = JSON.parse(Read(`${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:
Task(
subagent_type="cli-lite-planning-agent",
description="Generate detailed implementation plan",
prompt=`
Generate implementation plan and write plan.json.
## Output Schema Reference
Execute: cat ~/.claude/workflows/cli-templates/schemas/plan-json-schema.json (get schema reference before generating plan)
## 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: ${JSON.stringify(manifest.explorations.map(e => e.angle))}
## Task Grouping Rules
1. **Group by feature**: All changes for one feature = one task (even if 3-5 files)
2. **Group by context**: Tasks with similar context or related functional changes can be grouped together
3. **Minimize agent count**: Simple, unrelated tasks can also be grouped to reduce agent execution overhead
4. **Avoid file-per-task**: Do NOT create separate tasks for each file
5. **Substantial tasks**: Each task should represent 15-60 minutes of work
6. **True dependencies only**: Only use depends_on when Task B cannot start without Task A's output
7. **Prefer parallel**: Most tasks should be independent (no depends_on)
## Execution
1. Read schema file (cat command above)
2. Read ALL exploration files for comprehensive context
3. Synthesize findings and generate plan following schema
4. Write JSON: Write('${sessionFolder}/plan.json', jsonContent)
5. Return brief completion summary
`
)
Output: ${sessionFolder}/plan.json
Phase 4: Task Confirmation & Execution Selection
Step 4.1: Display Plan
const plan = JSON.parse(Read(`${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**: ${plan.recommended_execution}
`)
Step 4.2: Collect Confirmation
AskUserQuestion({
questions: [
{
question: `Confirm plan? (${plan.tasks.length} tasks, ${plan.complexity})`,
header: "Confirm",
multiSelect: true,
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: ${plan.complexity === 'Low' ? 'Agent' : 'Codex'}` }
]
},
{
question: "Code review after execution?",
header: "Review",
multiSelect: false,
options: [
{ label: "Gemini Review", description: "Gemini CLI" },
{ label: "Agent Review", description: "@code-reviewer" },
{ label: "Skip", description: "No review" }
]
}
]
})
Phase 5: Dispatch to Execution
CRITICAL: lite-plan NEVER executes code directly. ALL execution MUST go through lite-execute.
Step 5.1: Build executionContext
// Load manifest and all exploration files
const manifest = JSON.parse(Read(`${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(`${sessionFolder}/plan.json`))
executionContext = {
planObject: plan,
explorationsContext: explorations,
explorationAngles: manifest.explorations.map(e => e.angle),
explorationManifest: manifest,
clarificationContext: clarificationContext || null,
executionMethod: userSelection.execution_method,
codeReviewTool: userSelection.code_review_tool,
originalUserInput: task_description,
session: {
id: sessionId,
folder: sessionFolder,
artifacts: {
explorations: manifest.explorations.map(exp => ({
angle: exp.angle,
path: exp.path
})),
explorations_manifest: `${sessionFolder}/explorations-manifest.json`,
plan: `${sessionFolder}/plan.json`
}
}
}
Step 5.2: Dispatch
SlashCommand(command="/workflow:lite-execute --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 /workflow:plan |