Files
Claude-Code-Workflow/.claude/commands/workflow/lite-plan.md
catlog22 7b692ce415 refactor: Clarify agent schema reading with explicit cat commands
Replaced ambiguous "Read: schema.json" instructions with explicit
"Execute: cat schema.json" commands to eliminate orchestrator/agent
responsibility confusion. Updated in three key sections:

- MANDATORY FIRST STEPS: Added "Execute by Agent" header with explicit
  cat command for schema retrieval
- Expected Deliverables: Shortened to reference prior schema step
- Success Criteria: Simplified to "Schema obtained via cat"

Files modified:
- lite-plan.md: explore-json-schema.json + plan-json-schema.json
- review-module-cycle.md: dimension results + deep-dive schemas
- review-session-cycle.md: dimension results + deep-dive schemas

Benefits:
- Removes ambiguity about who reads schema (always agent, never orchestrator)
- Uses direct command syntax ("cat") instead of passive language
- Consistent English-only phrasing across all three files
- Three-point reinforcement ensures agents execute schema reading
2025-11-26 16:02:00 +08:00

17 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

User Input → Task Analysis & Exploration Decision (Phase 1)
          ↓
     Clarification (Phase 2, optional)
          ↓
     Complexity Assessment & Planning (Phase 3)
          ↓
     Task Confirmation & Execution Selection (Phase 4)
          ↓
     Dispatch to Execution (Phase 5)

Implementation

Phase 1: Intelligent Multi-Angle Exploration

Session Setup:

const taskSlug = task_description.toLowerCase().replace(/[^a-z0-9]+/g, '-').substring(0, 40)
const timestamp = new Date().toISOString().replace(/[:.]/g, '-')
const shortTimestamp = timestamp.substring(0, 19).replace('T', '-')
const sessionId = `${taskSlug}-${shortTimestamp}`
const sessionFolder = `.workflow/.lite-plan/${sessionId}`

bash(`mkdir -p ${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()
}

Complexity Assessment & Exploration Count:

// Estimate task complexity based on description
function estimateComplexity(taskDescription) {
  const wordCount = taskDescription.split(/\s+/).length
  const text = taskDescription.toLowerCase()

  const indicators = {
    high: ['refactor', 'migrate', 'redesign', 'architecture', 'system'],
    medium: ['implement', 'add feature', 'integrate', 'modify module'],
    low: ['fix', 'update', 'adjust', 'tweak']
  }

  let score = 0
  if (wordCount > 50) score += 2
  else if (wordCount > 20) score += 1

  if (indicators.high.some(w => text.includes(w))) score += 3
  else if (indicators.medium.some(w => text.includes(w))) score += 2
  else if (indicators.low.some(w => text.includes(w))) score += 1

  // 0-2: Low, 3-4: Medium, 5+: High
  if (score >= 5) return 'High'
  if (score >= 3) return 'Medium'
  return 'Low'
}

const complexity = estimateComplexity(task_description)

// 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:

// Launch agents with pre-assigned angles
const explorationTasks = selectedAngles.map((angle, index) =>
  Task(
    subagent_type="cli-explore-agent",
    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: ~/.claude/scripts/get_modules_by_depth.sh (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
- patterns: ${angle}-related patterns to follow
- dependencies: Dependencies relevant to ${angle}
- integration_points: Where to integrate from ${angle} viewpoint
- constraints: ${angle}-specific limitations/conventions
- clarification_needs: ${angle}-related ambiguities (with options array)
- _metadata.exploration_angle: "${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 array

## 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: new Date().toISOString(),
  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)

Skip if: No exploration or clarification_needs is empty across all explorations

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
      })
    })
  }
})

// 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)

if (uniqueClarifications.length > 0) {
  AskUserQuestion({
    questions: uniqueClarifications.map(need => ({
      question: `[${need.source_angle}] ${need.question}\n\nContext: ${need.context}`,
      header: need.source_angle,
      multiSelect: false,
      options: need.options.map(opt => ({
        label: opt,
        description: `Use ${opt} approach`
      }))
    }))
  })
}

Output: clarificationContext (in-memory)


Phase 3: Complexity Assessment & Planning

Complexity Assessment:

complexityScore = {
  file_count: exploration?.relevant_files?.length || 0,
  integration_points: exploration?.dependencies?.length || 0,
  architecture_changes: exploration?.constraints?.includes('architecture'),
  task_scope: estimated_steps > 5
}

// Low: score < 3, Medium: 3-5, High: > 5

Low Complexity - Direct planning by Claude:

  • Generate plan directly, write to ${sessionFolder}/plan.json
  • No agent invocation

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 with:
- summary: 2-3 sentence overview
- approach: High-level implementation strategy (incorporating insights from all exploration angles)
- tasks: 3-10 structured tasks with:
  - title, file, action, description
  - implementation (3-7 steps)
  - reference (pattern, files, examples)
  - acceptance (2-4 criteria)
- estimated_time, recommended_execution, complexity
- _metadata:
  - timestamp, source, planning_mode
  - exploration_angles: ${JSON.stringify(manifest.explorations.map(e => e.angle))}

## Execution
1. Read ALL exploration files for comprehensive context
2. Execute CLI planning using Gemini (Qwen fallback)
3. Synthesize findings from multiple exploration angles
4. Parse output and structure plan
5. Write JSON: Write('${sessionFolder}/plan.json', jsonContent)
4. 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

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}-{timestamp}/
├── 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