Claude-Code-Workflow/.claude/commands/workflow/lite-plan.md

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 execute to lite-execute after user confirmation	[-y|--yes] [-e|--explore] "task description"|file.md	TodoWrite(*), Task(*), Skill(*), 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: 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

Usage

/workflow:lite-plan [FLAGS] <TASK_DESCRIPTION>

# Flags
-y, --yes                  Skip all confirmations (auto mode)
-e, --explore              Force code exploration phase (overrides auto-detection)

# Arguments
<task-description>         Task description or path to .md file (required)

# Examples
/workflow:lite-plan "实现JWT认证"                    # Interactive mode
/workflow:lite-plan --yes "实现JWT认证"              # Auto mode (no confirmations)
/workflow:lite-plan -y -e "优化数据库查询性能"       # Auto mode + force exploration

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:

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)
   └─ Skill(skill="workflow:lite-execute", args="--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))

// 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 - 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.

## 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 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)
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
`
  )
)

// 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)

// 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):

// 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:

// 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",
  run_in_background=false,
  description="Generate detailed implementation plan",
  prompt=`
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
`
)

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

// 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

// 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

Skill(skill="workflow:lite-execute", args="--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