Add Phase 4: Task Generation documentation and execution process

- Introduced comprehensive guidelines for generating implementation plan documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) using the action-planning-agent.
- Defined auto mode for user configuration with default settings.
- Outlined core philosophy emphasizing planning only, agent-driven document generation, and memory-first context loading.
- Detailed execution process divided into phases: User Configuration, Context Preparation, Single Agent Planning, N Parallel Planning, and Integration.
- Included lifecycle management for user configuration and agent interactions.
- Specified document generation lifecycle with clear expectations for outputs and quality standards.
This commit is contained in:
catlog22
2026-02-05 20:50:21 +08:00
parent 01459a34a5
commit 9fc2c876f7
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# Phase 3: Conflict Resolution
Detect and resolve conflicts between plan and existing codebase using CLI-powered analysis with Gemini/Qwen.
## Objective
- Analyze conflicts between plan and existing code, **including module scenario uniqueness detection**
- Generate multiple resolution strategies with **iterative clarification until boundaries are clear**
- Apply selected modifications to brainstorm artifacts
**Scope**: Detection and strategy generation only - NO code modification or task creation.
**Trigger**: Auto-executes when `conflict_risk >= medium`.
## Auto Mode
When `--yes` or `-y`: Auto-select recommended strategy for each conflict, skip clarification questions.
## Core Responsibilities
| Responsibility | Description |
|---------------|-------------|
| **Detect Conflicts** | Analyze plan vs existing code inconsistencies |
| **Scenario Uniqueness** | Search and compare new modules with existing modules for functional overlaps |
| **Generate Strategies** | Provide 2-4 resolution options per conflict |
| **Iterative Clarification** | Ask unlimited questions until scenario boundaries are clear and unique |
| **Agent Re-analysis** | Dynamically update strategies based on user clarifications |
| **CLI Analysis** | Use Gemini/Qwen (Claude fallback) |
| **User Decision** | Present options ONE BY ONE, never auto-apply |
| **Direct Text Output** | Output questions via text directly, NEVER use bash echo/printf |
| **Structured Data** | JSON output for programmatic processing, NO file generation |
| **Explicit Lifecycle** | Manage agent lifecycle with spawn_agent → wait → send_input → close_agent |
## Conflict Categories
### 1. Architecture Conflicts
- Incompatible design patterns
- Module structure changes
- Pattern migration requirements
### 2. API Conflicts
- Breaking contract changes
- Signature modifications
- Public interface impacts
### 3. Data Model Conflicts
- Schema modifications
- Type breaking changes
- Data migration needs
### 4. Dependency Conflicts
- Version incompatibilities
- Setup conflicts
- Breaking updates
### 5. Module Scenario Overlap
- Functional overlap between new and existing modules
- Scenario boundary ambiguity
- Duplicate responsibility detection
- Module merge/split decisions
- **Requires iterative clarification until uniqueness confirmed**
## Execution Process
```
Input Parsing:
├─ Parse flags: --session, --context
└─ Validation: Both REQUIRED, conflict_risk >= medium
Phase 1: Validation
├─ Step 1: Verify session directory exists
├─ Step 2: Load context-package.json
├─ Step 3: Check conflict_risk (skip if none/low)
└─ Step 4: Prepare agent task prompt
Phase 2: CLI-Powered Analysis (Agent with Dual Role)
├─ Spawn agent with exploration + planning capability
├─ Execute Gemini analysis (Qwen fallback)
├─ Detect conflicts including ModuleOverlap category
└─ Generate 2-4 strategies per conflict with modifications
Phase 3: Iterative User Interaction (using send_input)
└─ FOR each conflict (one by one):
├─ Display conflict with overlap_analysis (if ModuleOverlap)
├─ Display strategies (2-4 + custom option)
├─ User selects strategy
└─ IF clarification_needed:
├─ Collect answers
├─ send_input for agent re-analysis
└─ Loop until uniqueness_confirmed (max 10 rounds)
Phase 4: Apply Modifications
├─ Step 1: Extract modifications from resolved strategies
├─ Step 2: Apply using Edit tool
├─ Step 3: Update context-package.json (mark resolved)
├─ Step 4: Close agent
└─ Step 5: Output custom conflict summary (if any)
```
## Execution Flow
### Phase 1: Validation
```
1. Verify session directory exists
2. Load context-package.json
3. Check conflict_risk (skip if none/low)
4. Prepare agent task prompt
```
### Phase 2: CLI-Powered Analysis
**Agent Delegation with Dual Role** (enables multi-round interaction):
```javascript
// Spawn agent with combined analysis + resolution capability
const conflictAgentId = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/cli-execution-agent.md (MUST read first)
2. Read: .workflow/project-tech.json
3. Read: .workflow/project-guidelines.json
---
## Context
- Session: ${session_id}
- Risk: ${conflict_risk}
- Files: ${existing_files_list}
## Exploration Context (from context-package.exploration_results)
- Exploration Count: ${contextPackage.exploration_results?.exploration_count || 0}
- Angles Analyzed: ${JSON.stringify(contextPackage.exploration_results?.angles || [])}
- Pre-identified Conflict Indicators: ${JSON.stringify(contextPackage.exploration_results?.aggregated_insights?.conflict_indicators || [])}
- Critical Files: ${JSON.stringify(contextPackage.exploration_results?.aggregated_insights?.critical_files?.map(f => f.path) || [])}
- All Patterns: ${JSON.stringify(contextPackage.exploration_results?.aggregated_insights?.all_patterns || [])}
- All Integration Points: ${JSON.stringify(contextPackage.exploration_results?.aggregated_insights?.all_integration_points || [])}
## Analysis Steps
### 0. Load Output Schema (MANDATORY)
Execute: cat ~/.claude/workflows/cli-templates/schemas/conflict-resolution-schema.json
### 1. Load Context
- Read existing files from conflict_detection.existing_files
- Load plan from .workflow/active/${session_id}/.process/context-package.json
- Load exploration_results and use aggregated_insights for enhanced analysis
- Extract role analyses and requirements
### 2. Execute CLI Analysis (Enhanced with Exploration + Scenario Uniqueness)
Primary (Gemini):
ccw cli -p "
PURPOSE: Detect conflicts between plan and codebase, using exploration insights
TASK:
• **Review pre-identified conflict_indicators from exploration results**
• Compare architectures (use exploration key_patterns)
• Identify breaking API changes
• Detect data model incompatibilities
• Assess dependency conflicts
• **Analyze module scenario uniqueness**
- Use exploration integration_points for precise locations
- Cross-validate with exploration critical_files
- Generate clarification questions for boundary definition
MODE: analysis
CONTEXT: @**/*.ts @**/*.js @**/*.tsx @**/*.jsx @.workflow/active/${session_id}/**/*
EXPECTED: Conflict list with severity ratings, including:
- Validation of exploration conflict_indicators
- ModuleOverlap conflicts with overlap_analysis
- Targeted clarification questions
CONSTRAINTS: Focus on breaking changes, migration needs, and functional overlaps | Prioritize exploration-identified conflicts | analysis=READ-ONLY
" --tool gemini --mode analysis --rule analysis-code-patterns --cd ${project_root}
Fallback: Qwen (same prompt) → Claude (manual analysis)
### 3. Generate Strategies (2-4 per conflict)
Template per conflict:
- Severity: Critical/High/Medium
- Category: Architecture/API/Data/Dependency/ModuleOverlap
- Affected files + impact
- **For ModuleOverlap**: Include overlap_analysis with existing modules and scenarios
- Options with pros/cons, effort, risk
- **For ModuleOverlap strategies**: Add clarification_needed questions for boundary definition
- Recommended strategy + rationale
### 4. Return Structured Conflict Data
⚠️ Output to conflict-resolution.json (generated in Phase 4)
**Schema Reference**: Execute \`cat ~/.claude/workflows/cli-templates/schemas/conflict-resolution-schema.json\` to get full schema
Return JSON following the schema above. Key requirements:
- Minimum 2 strategies per conflict, max 4
- All text in Chinese for user-facing fields (brief, name, pros, cons, modification_suggestions)
- modifications.old_content: 20-100 chars for unique Edit tool matching
- modifications.new_content: preserves markdown formatting
- modification_suggestions: 2-5 actionable suggestions for custom handling
### 5. Planning Notes Record (REQUIRED)
After analysis complete, append a brief execution record to planning-notes.md:
**File**: .workflow/active/${session_id}/planning-notes.md
**Location**: Under "## Conflict Decisions (Phase 3)" section
**Format**:
\`\`\`
### [Conflict-Resolution Agent] YYYY-MM-DD
- **Note**: [brief summary of conflict types, resolution strategies, key decisions]
\`\`\`
`
});
// Wait for initial analysis
const analysisResult = wait({
ids: [conflictAgentId],
timeout_ms: 600000 // 10 minutes
});
// Parse conflicts from result
const conflicts = parseConflictsFromResult(analysisResult);
```
### Phase 3: User Interaction Loop
```javascript
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
FOR each conflict:
round = 0, clarified = false, userClarifications = []
WHILE (!clarified && round++ < 10):
// 1. Display conflict info (text output for context)
displayConflictSummary(conflict) // id, brief, severity, overlap_analysis if ModuleOverlap
// 2. Strategy selection
if (autoYes) {
console.log(`[--yes] Auto-selecting recommended strategy`)
selectedStrategy = conflict.strategies[conflict.recommended || 0]
clarified = true // Skip clarification loop
} else {
AskUserQuestion({
questions: [{
question: formatStrategiesForDisplay(conflict.strategies),
header: "策略选择",
multiSelect: false,
options: [
...conflict.strategies.map((s, i) => ({
label: `${s.name}${i === conflict.recommended ? ' (推荐)' : ''}`,
description: `${s.complexity}复杂度 | ${s.risk}风险${s.clarification_needed?.length ? ' | ⚠️需澄清' : ''}`
})),
{ label: "自定义修改", description: `建议: ${conflict.modification_suggestions?.slice(0,2).join('; ')}` }
]
}]
})
// 3. Handle selection
if (userChoice === "自定义修改") {
customConflicts.push({ id, brief, category, suggestions, overlap_analysis })
break
}
selectedStrategy = findStrategyByName(userChoice)
}
// 4. Clarification (if needed) - using send_input for agent re-analysis
if (!autoYes && selectedStrategy.clarification_needed?.length > 0) {
for (batch of chunk(selectedStrategy.clarification_needed, 4)) {
AskUserQuestion({
questions: batch.map((q, i) => ({
question: q, header: `澄清${i+1}`, multiSelect: false,
options: [{ label: "详细说明", description: "提供答案" }]
}))
})
userClarifications.push(...collectAnswers(batch))
}
// 5. Agent re-analysis via send_input (key: agent stays active)
send_input({
id: conflictAgentId,
message: `
## CLARIFICATION ANSWERS
Conflict: ${conflict.id}
Strategy: ${selectedStrategy.name}
User Clarifications: ${JSON.stringify(userClarifications)}
## REQUEST
Based on the clarifications above, update the strategy assessment.
Output: { uniqueness_confirmed: boolean, rationale: string, updated_strategy: {...}, remaining_questions: [...] }
`
});
// Wait for re-analysis result
const reanalysisResult = wait({
ids: [conflictAgentId],
timeout_ms: 300000 // 5 minutes
});
const parsedResult = parseReanalysisResult(reanalysisResult);
if (parsedResult.uniqueness_confirmed) {
selectedStrategy = { ...parsedResult.updated_strategy, clarifications: userClarifications }
clarified = true
} else {
selectedStrategy.clarification_needed = parsedResult.remaining_questions
}
} else {
clarified = true
}
if (clarified) resolvedConflicts.push({ conflict, strategy: selectedStrategy })
END WHILE
END FOR
selectedStrategies = resolvedConflicts.map(r => ({
conflict_id: r.conflict.id, strategy: r.strategy, clarifications: r.strategy.clarifications || []
}))
```
**Key Points**:
- AskUserQuestion: max 4 questions/call, batch if more
- Strategy options: 2-4 strategies + "自定义修改"
- Clarification loop via send_input: max 10 rounds, agent判断 uniqueness_confirmed
- Agent stays active throughout interaction (no close_agent until Phase 4 complete)
- Custom conflicts: 记录 overlap_analysis 供后续手动处理
### Phase 4: Apply Modifications
```javascript
// 1. Extract modifications from resolved strategies
const modifications = [];
selectedStrategies.forEach(item => {
if (item.strategy && item.strategy.modifications) {
modifications.push(...item.strategy.modifications.map(mod => ({
...mod,
conflict_id: item.conflict_id,
clarifications: item.clarifications
})));
}
});
console.log(`\n正在应用 ${modifications.length} 个修改...`);
// 2. Apply each modification using Edit tool (with fallback to context-package.json)
const appliedModifications = [];
const failedModifications = [];
const fallbackConstraints = []; // For files that don't exist
modifications.forEach((mod, idx) => {
try {
console.log(`[${idx + 1}/${modifications.length}] 修改 ${mod.file}...`);
// Check if target file exists (brainstorm files may not exist in lite workflow)
if (!file_exists(mod.file)) {
console.log(` ⚠️ 文件不存在,写入 context-package.json 作为约束`);
fallbackConstraints.push({
source: "conflict-resolution",
conflict_id: mod.conflict_id,
target_file: mod.file,
section: mod.section,
change_type: mod.change_type,
content: mod.new_content,
rationale: mod.rationale
});
return; // Skip to next modification
}
if (mod.change_type === "update") {
Edit({
file_path: mod.file,
old_string: mod.old_content,
new_string: mod.new_content
});
} else if (mod.change_type === "add") {
// Handle addition - append or insert based on section
const fileContent = Read(mod.file);
const updated = insertContentAfterSection(fileContent, mod.section, mod.new_content);
Write(mod.file, updated);
} else if (mod.change_type === "remove") {
Edit({
file_path: mod.file,
old_string: mod.old_content,
new_string: ""
});
}
appliedModifications.push(mod);
console.log(` ✓ 成功`);
} catch (error) {
console.log(` ✗ 失败: ${error.message}`);
failedModifications.push({ ...mod, error: error.message });
}
});
// 2b. Generate conflict-resolution.json output file
const resolutionOutput = {
session_id: sessionId,
resolved_at: new Date().toISOString(),
summary: {
total_conflicts: conflicts.length,
resolved_with_strategy: selectedStrategies.length,
custom_handling: customConflicts.length,
fallback_constraints: fallbackConstraints.length
},
resolved_conflicts: selectedStrategies.map(s => ({
conflict_id: s.conflict_id,
strategy_name: s.strategy.name,
strategy_approach: s.strategy.approach,
clarifications: s.clarifications || [],
modifications_applied: s.strategy.modifications?.filter(m =>
appliedModifications.some(am => am.conflict_id === s.conflict_id)
) || []
})),
custom_conflicts: customConflicts.map(c => ({
id: c.id,
brief: c.brief,
category: c.category,
suggestions: c.suggestions,
overlap_analysis: c.overlap_analysis || null
})),
planning_constraints: fallbackConstraints, // Constraints for files that don't exist
failed_modifications: failedModifications
};
const resolutionPath = `.workflow/active/${sessionId}/.process/conflict-resolution.json`;
Write(resolutionPath, JSON.stringify(resolutionOutput, null, 2));
// 3. Update context-package.json with resolution details (reference to JSON file)
const contextPackage = JSON.parse(Read(contextPath));
contextPackage.conflict_detection.conflict_risk = "resolved";
contextPackage.conflict_detection.resolution_file = resolutionPath; // Reference to detailed JSON
contextPackage.conflict_detection.resolved_conflicts = selectedStrategies.map(s => s.conflict_id);
contextPackage.conflict_detection.custom_conflicts = customConflicts.map(c => c.id);
contextPackage.conflict_detection.resolved_at = new Date().toISOString();
Write(contextPath, JSON.stringify(contextPackage, null, 2));
// 4. Close the conflict agent (IMPORTANT: explicit lifecycle management)
close_agent({ id: conflictAgentId });
// 5. Output custom conflict summary with overlap analysis (if any)
if (customConflicts.length > 0) {
console.log(`\n${'='.repeat(60)}`);
console.log(`需要自定义处理的冲突 (${customConflicts.length})`);
console.log(`${'='.repeat(60)}\n`);
customConflicts.forEach(conflict => {
console.log(`${conflict.category}${conflict.id}: ${conflict.brief}`);
// Show overlap analysis for ModuleOverlap conflicts
if (conflict.category === 'ModuleOverlap' && conflict.overlap_analysis) {
console.log(`\n场景重叠信息:`);
console.log(` 新模块: ${conflict.overlap_analysis.new_module.name}`);
console.log(` 场景: ${conflict.overlap_analysis.new_module.scenarios.join(', ')}`);
console.log(`\n 与以下模块重叠:`);
conflict.overlap_analysis.existing_modules.forEach(mod => {
console.log(` - ${mod.name} (${mod.file})`);
console.log(` 重叠场景: ${mod.overlap_scenarios.join(', ')}`);
});
}
console.log(`\n修改建议:`);
conflict.suggestions.forEach(suggestion => {
console.log(` - ${suggestion}`);
});
console.log();
});
}
// 6. Output failure summary (if any)
if (failedModifications.length > 0) {
console.log(`\n⚠️ 部分修改失败 (${failedModifications.length}):`);
failedModifications.forEach(mod => {
console.log(` - ${mod.file}: ${mod.error}`);
});
}
// 7. Return summary
return {
total_conflicts: conflicts.length,
resolved_with_strategy: selectedStrategies.length,
custom_handling: customConflicts.length,
modifications_applied: appliedModifications.length,
modifications_failed: failedModifications.length,
modified_files: [...new Set(appliedModifications.map(m => m.file))],
custom_conflicts: customConflicts,
clarification_records: selectedStrategies.filter(s => s.clarifications.length > 0)
};
```
**Validation**:
```
✓ Agent returns valid JSON structure with ModuleOverlap conflicts
✓ Conflicts processed ONE BY ONE (not in batches)
✓ ModuleOverlap conflicts include overlap_analysis field
✓ Strategies with clarification_needed display questions
✓ User selections captured correctly per conflict
✓ Clarification loop continues until uniqueness confirmed via send_input
✓ Agent re-analysis with user clarifications updates strategy
✓ Uniqueness confirmation based on clear scenario boundaries
✓ Maximum 10 rounds per conflict safety limit enforced
✓ Edit tool successfully applies modifications
✓ guidance-specification.md updated
✓ Role analyses (*.md) updated
✓ context-package.json marked as resolved with clarification records
✓ Custom conflicts display overlap_analysis for manual handling
✓ Agent closed after all interactions complete (explicit lifecycle)
✓ Agent log saved to .workflow/active/{session_id}/.chat/
```
## Output Format
### Primary Output: conflict-resolution.json
**Path**: `.workflow/active/{session_id}/.process/conflict-resolution.json`
**Schema**:
```json
{
"session_id": "WFS-xxx",
"resolved_at": "ISO timestamp",
"summary": {
"total_conflicts": 3,
"resolved_with_strategy": 2,
"custom_handling": 1,
"fallback_constraints": 0
},
"resolved_conflicts": [
{
"conflict_id": "CON-001",
"strategy_name": "策略名称",
"strategy_approach": "实现方法",
"clarifications": [],
"modifications_applied": []
}
],
"custom_conflicts": [
{
"id": "CON-002",
"brief": "冲突摘要",
"category": "ModuleOverlap",
"suggestions": ["建议1", "建议2"],
"overlap_analysis": null
}
],
"planning_constraints": [],
"failed_modifications": []
}
```
### Key Requirements
| Requirement | Details |
|------------|---------|
| **Conflict batching** | Max 10 conflicts per round (no total limit) |
| **Strategy count** | 2-4 strategies per conflict |
| **Modifications** | Each strategy includes file paths, old_content, new_content |
| **User-facing text** | Chinese (brief, strategy names, pros/cons) |
| **Technical fields** | English (severity, category, complexity, risk) |
| **old_content precision** | 20-100 chars for unique Edit tool matching |
| **File targets** | guidance-specification.md, role analyses (*.md) |
| **Agent lifecycle** | Keep active during interaction, close after Phase 4 |
## Error Handling
### Recovery Strategy
```
1. Pre-check: Verify conflict_risk ≥ medium
2. Monitor: Track agent via wait with timeout
3. Validate: Parse agent JSON output
4. Recover:
- Agent failure → check logs + report error
- Invalid JSON → retry once with Claude fallback
- CLI failure → fallback to Claude analysis
- Edit tool failure → report affected files + rollback option
- User cancels → mark as "unresolved", continue to task-generate
5. Degrade: If all fail, generate minimal conflict report and skip modifications
6. Cleanup: Always close_agent even on error path
```
### Rollback Handling
```
If Edit tool fails mid-application:
1. Log all successfully applied modifications
2. Output rollback option via text interaction
3. If rollback selected: restore files from git or backups
4. If continue: mark partial resolution in context-package.json
```
## Integration
### Interface
**Input**:
- `--session` (required): WFS-{session-id}
- `--context` (required): context-package.json path
- Requires: `conflict_risk >= medium`
**Output**:
- Generated file:
- `.workflow/active/{session_id}/.process/conflict-resolution.json` (primary output)
- Modified files (if exist):
- `.workflow/active/{session_id}/.brainstorm/guidance-specification.md`
- `.workflow/active/{session_id}/.brainstorm/{role}/analysis.md`
- `.workflow/active/{session_id}/.process/context-package.json` (conflict_risk → resolved, resolution_file reference)
**User Interaction**:
- **Iterative conflict processing**: One conflict at a time, not in batches
- Each conflict: 2-4 strategy options + "自定义修改" option (with suggestions)
- **Clarification loop via send_input**: Unlimited questions per conflict until uniqueness confirmed (max 10 rounds)
- **ModuleOverlap conflicts**: Display overlap_analysis with existing modules
- **Agent re-analysis**: Dynamic strategy updates based on user clarifications
### Success Criteria
```
✓ CLI analysis returns valid JSON structure with ModuleOverlap category
✓ Agent performs scenario uniqueness detection (searches existing modules)
✓ Conflicts processed ONE BY ONE with iterative clarification via send_input
✓ Min 2 strategies per conflict with modifications
✓ ModuleOverlap conflicts include overlap_analysis with existing modules
✓ Strategies requiring clarification include clarification_needed questions
✓ Each conflict includes 2-5 modification_suggestions
✓ Text output displays conflict with overlap analysis (if ModuleOverlap)
✓ User selections captured per conflict
✓ Clarification loop continues until uniqueness confirmed (unlimited rounds, max 10)
✓ Agent re-analysis with user clarifications updates strategy
✓ Uniqueness confirmation based on clear scenario boundaries
✓ Edit tool applies modifications successfully
✓ Custom conflicts displayed with overlap_analysis for manual handling
✓ guidance-specification.md updated with resolved conflicts
✓ Role analyses (*.md) updated with resolved conflicts
✓ context-package.json marked as "resolved" with clarification records
✓ conflict-resolution.json generated with full resolution details
✓ Agent explicitly closed after all interactions
✓ Modification summary includes:
- Total conflicts
- Resolved with strategy (count)
- Custom handling (count)
- Clarification records
- Overlap analysis for custom ModuleOverlap conflicts
✓ Agent log saved to .workflow/active/{session_id}/.chat/
✓ Error handling robust (validate/retry/degrade)
```
## Post-Phase Update
If Phase 3 was executed, update planning-notes.md:
```javascript
const conflictResPath = `.workflow/active/${sessionId}/.process/conflict-resolution.json`
if (file_exists(conflictResPath)) {
const conflictRes = JSON.parse(Read(conflictResPath))
const resolved = conflictRes.resolved_conflicts || []
const planningConstraints = conflictRes.planning_constraints || []
// Update Phase 3 section
Edit(planningNotesPath, {
old: '## Conflict Decisions (Phase 3)\n(To be filled if conflicts detected)',
new: `## Conflict Decisions (Phase 3)
- **RESOLVED**: ${resolved.map(r => `${r.conflict_id}${r.strategy_name}`).join('; ') || 'None'}
- **CUSTOM_HANDLING**: ${conflictRes.custom_conflicts?.map(c => c.id).join(', ') || 'None'}
- **CONSTRAINTS**: ${planningConstraints.map(c => c.content).join('; ') || 'None'}`
})
// Append Phase 3 constraints to consolidated list
if (planningConstraints.length > 0) {
Edit(planningNotesPath, {
old: '## Consolidated Constraints (Phase 4 Input)',
new: `## Consolidated Constraints (Phase 4 Input)
${planningConstraints.map((c, i) => `${constraintCount + i + 1}. [Conflict] ${c.content}`).join('\n')}`
})
}
}
```
## Memory State Check
After Phase 3 completion, evaluate context window usage.
If memory usage is high (>120K tokens):
```javascript
// Codex: Use compact command if available
codex compact
```
## Output
- **File**: `.workflow/active/{sessionId}/.process/conflict-resolution.json`
- **Modified files**: brainstorm artifacts (guidance-specification.md, role analyses)
- **Updated**: `context-package.json` with resolved conflict status
## Next Phase
Return to orchestrator, then auto-continue to [Phase 4: Task Generation](04-task-generation.md).

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# Phase 4: Task Generation
Generate implementation plan documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) using action-planning-agent - produces planning artifacts, does NOT execute code implementation.
## Auto Mode
When `--yes` or `-y`: Skip user questions, use defaults (no materials, Agent executor, Codex CLI tool).
## Core Philosophy
- **Planning Only**: Generate planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) - does NOT implement code
- **Agent-Driven Document Generation**: Delegate plan generation to action-planning-agent
- **NO Redundant Context Sorting**: Context priority sorting is ALREADY completed in context-gather Phase 2/3
- Use `context-package.json.prioritized_context` directly
- DO NOT re-sort files or re-compute priorities
- `priority_tiers` and `dependency_order` are pre-computed and ready-to-use
- **N+1 Parallel Planning**: Auto-detect multi-module projects, enable parallel planning (2+1 or 3+1 mode)
- **Progressive Loading**: Load context incrementally (Core → Selective → On-Demand) due to analysis.md file size
- **Memory-First**: Reuse loaded documents from conversation memory
- **Smart Selection**: Load synthesis_output OR guidance + relevant role analyses, NOT all role analyses
- **MCP-Enhanced**: Use MCP tools for advanced code analysis and research
- **Path Clarity**: All `focus_paths` prefer absolute paths (e.g., `D:\\project\\src\\module`), or clear relative paths from project root (e.g., `./src/module`)
- **Explicit Lifecycle**: Manage subagent lifecycle with spawn_agent → wait → close_agent
## Execution Process
```
Input Parsing:
├─ Parse flags: --session
└─ Validation: session_id REQUIRED
Phase 0: User Configuration (Interactive)
├─ Question 1: Supplementary materials/guidelines?
├─ Question 2: Execution method preference (Agent/CLI/Hybrid)
├─ Question 3: CLI tool preference (if CLI selected)
└─ Store: userConfig for agent prompt
Phase 1: Context Preparation & Module Detection (Command)
├─ Assemble session paths (metadata, context package, output dirs)
├─ Provide metadata (session_id, execution_mode, mcp_capabilities)
├─ Auto-detect modules from context-package + directory structure
└─ Decision:
├─ modules.length == 1 → Single Agent Mode (Phase 2A)
└─ modules.length >= 2 → Parallel Mode (Phase 2B + Phase 3)
Phase 2A: Single Agent Planning (Original Flow)
├─ Spawn action-planning-agent
├─ Wait for completion
├─ Close agent
├─ Outputs: Task JSONs, IMPL_PLAN.md, TODO_LIST.md
└─ Lifecycle: spawn_agent → wait → close_agent
Phase 2B: N Parallel Planning (Multi-Module)
├─ Spawn N action-planning-agents simultaneously (one per module)
├─ Wait for all agents (batch wait)
├─ Close all agents
├─ Each generates module-scoped tasks (IMPL-{prefix}{seq}.json)
├─ Task ID format: IMPL-A1, IMPL-A2... / IMPL-B1, IMPL-B2...
└─ Each module limited to ≤9 tasks
Phase 3: Integration (+1 Coordinator, Multi-Module Only)
├─ Spawn coordinator agent
├─ Wait for completion
├─ Close agent
├─ Collect all module task JSONs
├─ Resolve cross-module dependencies (CROSS::{module}::{pattern} → actual ID)
├─ Generate unified IMPL_PLAN.md (grouped by module)
└─ Generate TODO_LIST.md (hierarchical: module → tasks)
```
## Document Generation Lifecycle
### Phase 0: User Configuration (Interactive)
**Purpose**: Collect user preferences before task generation to ensure generated tasks match execution expectations.
**Auto Mode Check**:
```javascript
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
if (autoYes) {
console.log(`[--yes] Using defaults: No materials, Agent executor, Codex CLI`)
userConfig = {
supplementaryMaterials: { type: "none", content: [] },
executionMethod: "agent",
preferredCliTool: "codex",
enableResume: true
}
// Skip to Phase 1
}
```
**User Questions** (skipped if autoYes):
```javascript
if (!autoYes) AskUserQuestion({
questions: [
{
question: "Do you have supplementary materials or guidelines to include?",
header: "Materials",
multiSelect: false,
options: [
{ label: "No additional materials", description: "Use existing context only" },
{ label: "Provide file paths", description: "I'll specify paths to include" },
{ label: "Provide inline content", description: "I'll paste content directly" }
]
},
{
question: "Select execution method for generated tasks:",
header: "Execution",
multiSelect: false,
options: [
{ label: "Agent (Recommended)", description: "Claude agent executes tasks directly" },
{ label: "Hybrid", description: "Agent orchestrates, calls CLI for complex steps" },
{ label: "CLI Only", description: "All execution via CLI tools (codex/gemini/qwen)" }
]
},
{
question: "If using CLI, which tool do you prefer?",
header: "CLI Tool",
multiSelect: false,
options: [
{ label: "Codex (Recommended)", description: "Best for implementation tasks" },
{ label: "Gemini", description: "Best for analysis and large context" },
{ label: "Qwen", description: "Alternative analysis tool" },
{ label: "Auto", description: "Let agent decide per-task" }
]
}
]
})
```
**Handle Materials Response** (skipped if autoYes):
```javascript
if (!autoYes && userConfig.materials === "Provide file paths") {
// Follow-up question for file paths
const pathsResponse = AskUserQuestion({
questions: [{
question: "Enter file paths to include (comma-separated or one per line):",
header: "Paths",
multiSelect: false,
options: [
{ label: "Enter paths", description: "Provide paths in text input" }
]
}]
})
userConfig.supplementaryPaths = parseUserPaths(pathsResponse)
}
```
**Build userConfig**:
```javascript
const userConfig = {
supplementaryMaterials: {
type: "none|paths|inline",
content: [...], // Parsed paths or inline content
},
executionMethod: "agent|hybrid|cli",
preferredCliTool: "codex|gemini|qwen|auto",
enableResume: true // Always enable resume for CLI executions
}
```
**Pass to Agent**: Include `userConfig` in agent prompt for Phase 2A/2B.
### Phase 1: Context Preparation & Module Detection (Command Responsibility)
**Command prepares session paths, metadata, detects module structure. Context priority sorting is NOT performed here - it's already completed in context-gather Phase 2/3.**
**Session Path Structure**:
```
.workflow/active/WFS-{session-id}/
├── workflow-session.json # Session metadata
├── planning-notes.md # Consolidated planning notes
├── .process/
│ └── context-package.json # Context package with artifact catalog
├── .task/ # Output: Task JSON files
│ ├── IMPL-A1.json # Multi-module: prefixed by module
│ ├── IMPL-A2.json
│ ├── IMPL-B1.json
│ └── ...
├── IMPL_PLAN.md # Output: Implementation plan (grouped by module)
└── TODO_LIST.md # Output: TODO list (hierarchical)
```
**Command Preparation**:
1. **Assemble Session Paths** for agent prompt:
- `session_metadata_path`
- `context_package_path`
- Output directory paths
2. **Provide Metadata** (simple values):
- `session_id`
- `mcp_capabilities` (available MCP tools)
3. **Auto Module Detection** (determines single vs parallel mode):
```javascript
function autoDetectModules(contextPackage, projectRoot) {
// === Complexity Gate: Only parallelize for High complexity ===
const complexity = contextPackage.metadata?.complexity || 'Medium';
if (complexity !== 'High') {
// Force single agent mode for Low/Medium complexity
// This maximizes agent context reuse for related tasks
return [{ name: 'main', prefix: '', paths: ['.'] }];
}
// Priority 1: Explicit frontend/backend separation
if (exists('src/frontend') && exists('src/backend')) {
return [
{ name: 'frontend', prefix: 'A', paths: ['src/frontend'] },
{ name: 'backend', prefix: 'B', paths: ['src/backend'] }
];
}
// Priority 2: Monorepo structure
if (exists('packages/*') || exists('apps/*')) {
return detectMonorepoModules(); // Returns 2-3 main packages
}
// Priority 3: Context-package dependency clustering
const modules = clusterByDependencies(contextPackage.dependencies?.internal);
if (modules.length >= 2) return modules.slice(0, 3);
// Default: Single module (original flow)
return [{ name: 'main', prefix: '', paths: ['.'] }];
}
```
**Decision Logic**:
- `complexity !== 'High'` → Force Phase 2A (Single Agent, maximize context reuse)
- `modules.length == 1` → Phase 2A (Single Agent, original flow)
- `modules.length >= 2 && complexity == 'High'` → Phase 2B + Phase 3 (N+1 Parallel)
**Note**: CLI tool usage is now determined semantically by action-planning-agent based on user's task description, not by flags.
### Phase 2A: Single Agent Planning (Original Flow)
**Condition**: `modules.length == 1` (no multi-module detected)
**Purpose**: Generate IMPL_PLAN.md, task JSONs, and TODO_LIST.md - planning documents only, NOT code implementation.
**Agent Invocation**:
```javascript
// Spawn action-planning-agent
const planningAgentId = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/action-planning-agent.md (MUST read first)
2. Read: .workflow/project-tech.json
3. Read: .workflow/project-guidelines.json
---
## TASK OBJECTIVE
Generate implementation planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) for workflow session
IMPORTANT: This is PLANNING ONLY - you are generating planning documents, NOT implementing code.
CRITICAL: Follow the progressive loading strategy defined in agent specification (load analysis.md files incrementally due to file size)
## PLANNING NOTES (PHASE 1-3 CONTEXT)
Load: .workflow/active/${session_id}/planning-notes.md
This document contains:
- User Intent: Original GOAL and KEY_CONSTRAINTS from Phase 1
- Context Findings: Critical files, architecture, and constraints from Phase 2
- Conflict Decisions: Resolved conflicts and planning constraints from Phase 3
- Consolidated Constraints: All constraints from all phases
**USAGE**: Read planning-notes.md FIRST. Use Consolidated Constraints list to guide task sequencing and dependencies.
## SESSION PATHS
Input:
- Session Metadata: .workflow/active/${session_id}/workflow-session.json
- Planning Notes: .workflow/active/${session_id}/planning-notes.md
- Context Package: .workflow/active/${session_id}/.process/context-package.json
Output:
- Task Dir: .workflow/active/${session_id}/.task/
- IMPL_PLAN: .workflow/active/${session_id}/IMPL_PLAN.md
- TODO_LIST: .workflow/active/${session_id}/TODO_LIST.md
## CONTEXT METADATA
Session ID: ${session_id}
MCP Capabilities: {exa_code, exa_web, code_index}
## USER CONFIGURATION (from Phase 0)
Execution Method: ${userConfig.executionMethod} // agent|hybrid|cli
Preferred CLI Tool: ${userConfig.preferredCliTool} // codex|gemini|qwen|auto
Supplementary Materials: ${userConfig.supplementaryMaterials}
## EXECUTION METHOD MAPPING
Based on userConfig.executionMethod, set task-level meta.execution_config:
"agent" →
meta.execution_config = { method: "agent", cli_tool: null, enable_resume: false }
Agent executes implementation_approach steps directly
"cli" →
meta.execution_config = { method: "cli", cli_tool: userConfig.preferredCliTool, enable_resume: true }
Agent executes pre_analysis, then hands off full context to CLI via buildCliHandoffPrompt()
"hybrid" →
Per-task decision: Analyze task complexity, set method to "agent" OR "cli" per task
- Simple tasks (≤3 files, straightforward logic) → method: "agent"
- Complex tasks (>3 files, complex logic, refactoring) → method: "cli"
CLI tool: userConfig.preferredCliTool, enable_resume: true
IMPORTANT: Do NOT add command field to implementation_approach steps. Execution routing is controlled by task-level meta.execution_config.method only.
## PRIORITIZED CONTEXT (from context-package.prioritized_context) - ALREADY SORTED
Context sorting is ALREADY COMPLETED in context-gather Phase 2/3. DO NOT re-sort.
Direct usage:
- **user_intent**: Use goal/scope/key_constraints for task alignment
- **priority_tiers.critical**: These files are PRIMARY focus for task generation
- **priority_tiers.high**: These files are SECONDARY focus
- **dependency_order**: Use this for task sequencing - already computed
- **sorting_rationale**: Reference for understanding priority decisions
## EXPLORATION CONTEXT (from context-package.exploration_results) - SUPPLEMENT ONLY
If prioritized_context is incomplete, fall back to exploration_results:
- Load exploration_results from context-package.json
- Use aggregated_insights.critical_files for focus_paths generation
- Apply aggregated_insights.constraints to acceptance criteria
- Reference aggregated_insights.all_patterns for implementation approach
- Use aggregated_insights.all_integration_points for precise modification locations
- Use conflict_indicators for risk-aware task sequencing
## CONFLICT RESOLUTION CONTEXT (if exists)
- Check context-package.conflict_detection.resolution_file for conflict-resolution.json path
- If exists, load .process/conflict-resolution.json:
- Apply planning_constraints as task constraints (for brainstorm-less workflows)
- Reference resolved_conflicts for implementation approach alignment
- Handle custom_conflicts with explicit task notes
## EXPECTED DELIVERABLES
1. Task JSON Files (.task/IMPL-*.json)
- 6-field schema (id, title, status, context_package_path, meta, context, flow_control)
- Quantified requirements with explicit counts
- Artifacts integration from context package
- **focus_paths generated directly from prioritized_context.priority_tiers (critical + high)**
- NO re-sorting or re-prioritization - use pre-computed tiers as-is
- Critical files are PRIMARY focus, High files are SECONDARY
- Flow control with pre_analysis steps (use prioritized_context.dependency_order for task sequencing)
- **CLI Execution IDs and strategies (MANDATORY)**
2. Implementation Plan (IMPL_PLAN.md)
- Context analysis and artifact references
- Task breakdown and execution strategy
- Complete structure per agent definition
3. TODO List (TODO_LIST.md)
- Hierarchical structure (containers, pending, completed markers)
- Links to task JSONs and summaries
- Matches task JSON hierarchy
## CLI EXECUTION ID REQUIREMENTS (MANDATORY)
Each task JSON MUST include:
- **cli_execution_id**: Unique ID for CLI execution (format: \`{session_id}-{task_id}\`)
- **cli_execution**: Strategy object based on depends_on:
- No deps → \`{ "strategy": "new" }\`
- 1 dep (single child) → \`{ "strategy": "resume", "resume_from": "parent-cli-id" }\`
- 1 dep (multiple children) → \`{ "strategy": "fork", "resume_from": "parent-cli-id" }\`
- N deps → \`{ "strategy": "merge_fork", "merge_from": ["id1", "id2", ...] }\`
**CLI Execution Strategy Rules**:
1. **new**: Task has no dependencies - starts fresh CLI conversation
2. **resume**: Task has 1 parent AND that parent has only this child - continues same conversation
3. **fork**: Task has 1 parent BUT parent has multiple children - creates new branch with parent context
4. **merge_fork**: Task has multiple parents - merges all parent contexts into new conversation
**Execution Command Patterns**:
- new: \`ccw cli -p "[prompt]" --tool [tool] --mode write --id [cli_execution_id]\`
- resume: \`ccw cli -p "[prompt]" --resume [resume_from] --tool [tool] --mode write\`
- fork: \`ccw cli -p "[prompt]" --resume [resume_from] --id [cli_execution_id] --tool [tool] --mode write\`
- merge_fork: \`ccw cli -p "[prompt]" --resume [merge_from.join(',')] --id [cli_execution_id] --tool [tool] --mode write\`
## QUALITY STANDARDS
Hard Constraints:
- Task count <= 18 (hard limit - request re-scope if exceeded)
- All requirements quantified (explicit counts and enumerated lists)
- Acceptance criteria measurable (include verification commands)
- Artifact references mapped from context package
- All documents follow agent-defined structure
## SUCCESS CRITERIA
- All planning documents generated successfully:
- Task JSONs valid and saved to .task/ directory
- IMPL_PLAN.md created with complete structure
- TODO_LIST.md generated matching task JSONs
- Return completion status with document count and task breakdown summary
## PLANNING NOTES RECORD (REQUIRED)
After completing, update planning-notes.md:
**File**: .workflow/active/${session_id}/planning-notes.md
1. **Task Generation (Phase 4)**: Task count and key tasks
2. **N+1 Context**: Key decisions (with rationale) + deferred items
\`\`\`markdown
## Task Generation (Phase 4)
### [Action-Planning Agent] YYYY-MM-DD
- **Tasks**: [count] ([IDs])
## N+1 Context
### Decisions
| Decision | Rationale | Revisit? |
|----------|-----------|----------|
| [choice] | [why] | [Yes/No] |
### Deferred
- [ ] [item] - [reason]
\`\`\`
`
});
// Wait for planning agent to complete
const planningResult = wait({
ids: [planningAgentId],
timeout_ms: 900000 // 15 minutes
});
// Close planning agent
close_agent({ id: planningAgentId });
```
### Phase 2B: N Parallel Planning (Multi-Module)
**Condition**: `modules.length >= 2` (multi-module detected)
**Purpose**: Launch N action-planning-agents simultaneously, one per module, for parallel task JSON generation.
**Note**: Phase 2B agents generate Task JSONs ONLY. IMPL_PLAN.md and TODO_LIST.md are generated by Phase 3 Coordinator.
**Parallel Agent Invocation**:
```javascript
// Spawn N agents in parallel (one per module)
const moduleAgents = [];
modules.forEach(module => {
const agentId = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/action-planning-agent.md (MUST read first)
2. Read: .workflow/project-tech.json
3. Read: .workflow/project-guidelines.json
---
## TASK OBJECTIVE
Generate task JSON files for ${module.name} module within workflow session
IMPORTANT: This is PLANNING ONLY - generate task JSONs, NOT implementing code.
IMPORTANT: Generate Task JSONs ONLY. IMPL_PLAN.md and TODO_LIST.md by Phase 3 Coordinator.
CRITICAL: Follow the progressive loading strategy defined in agent specification (load analysis.md files incrementally due to file size)
## PLANNING NOTES (PHASE 1-3 CONTEXT)
Load: .workflow/active/${session_id}/planning-notes.md
This document contains consolidated constraints and user intent to guide module-scoped task generation.
## MODULE SCOPE
- Module: ${module.name} (${module.type})
- Focus Paths: ${module.paths.join(', ')}
- Task ID Prefix: IMPL-${module.prefix}
- Task Limit: ≤6 tasks (hard limit for this module)
- Other Modules: ${otherModules.join(', ')} (reference only, do NOT generate tasks for them)
## SESSION PATHS
Input:
- Session Metadata: .workflow/active/${session_id}/workflow-session.json
- Planning Notes: .workflow/active/${session_id}/planning-notes.md
- Context Package: .workflow/active/${session_id}/.process/context-package.json
Output:
- Task Dir: .workflow/active/${session_id}/.task/
## CONTEXT METADATA
Session ID: ${session_id}
MCP Capabilities: {exa_code, exa_web, code_index}
## USER CONFIGURATION (from Phase 0)
Execution Method: ${userConfig.executionMethod} // agent|hybrid|cli
Preferred CLI Tool: ${userConfig.preferredCliTool} // codex|gemini|qwen|auto
Supplementary Materials: ${userConfig.supplementaryMaterials}
## EXECUTION METHOD MAPPING
Based on userConfig.executionMethod, set task-level meta.execution_config:
"agent" →
meta.execution_config = { method: "agent", cli_tool: null, enable_resume: false }
Agent executes implementation_approach steps directly
"cli" →
meta.execution_config = { method: "cli", cli_tool: userConfig.preferredCliTool, enable_resume: true }
Agent executes pre_analysis, then hands off full context to CLI via buildCliHandoffPrompt()
"hybrid" →
Per-task decision: Analyze task complexity, set method to "agent" OR "cli" per task
- Simple tasks (≤3 files, straightforward logic) → method: "agent"
- Complex tasks (>3 files, complex logic, refactoring) → method: "cli"
CLI tool: userConfig.preferredCliTool, enable_resume: true
IMPORTANT: Do NOT add command field to implementation_approach steps. Execution routing is controlled by task-level meta.execution_config.method only.
## PRIORITIZED CONTEXT (from context-package.prioritized_context) - ALREADY SORTED
Context sorting is ALREADY COMPLETED in context-gather Phase 2/3. DO NOT re-sort.
Filter by module scope (${module.paths.join(', ')}):
- **user_intent**: Use for task alignment within module
- **priority_tiers.critical**: Filter for files in ${module.paths.join(', ')} → PRIMARY focus
- **priority_tiers.high**: Filter for files in ${module.paths.join(', ')} → SECONDARY focus
- **dependency_order**: Use module-relevant entries for task sequencing
## EXPLORATION CONTEXT (from context-package.exploration_results) - SUPPLEMENT ONLY
If prioritized_context is incomplete for this module, fall back to exploration_results:
- Load exploration_results from context-package.json
- Filter for ${module.name} module: Use aggregated_insights.critical_files matching ${module.paths.join(', ')}
- Apply module-relevant constraints from aggregated_insights.constraints
- Reference aggregated_insights.all_patterns applicable to ${module.name}
- Use aggregated_insights.all_integration_points for precise modification locations within module scope
- Use conflict_indicators for risk-aware task sequencing
## CONFLICT RESOLUTION CONTEXT (if exists)
- Check context-package.conflict_detection.resolution_file for conflict-resolution.json path
- If exists, load .process/conflict-resolution.json:
- Apply planning_constraints relevant to ${module.name} as task constraints
- Reference resolved_conflicts affecting ${module.name} for implementation approach alignment
- Handle custom_conflicts with explicit task notes
## CROSS-MODULE DEPENDENCIES
- For dependencies ON other modules: Use placeholder depends_on: ["CROSS::{module}::{pattern}"]
- Example: depends_on: ["CROSS::B::api-endpoint"] (this module depends on B's api-endpoint task)
- Phase 3 Coordinator resolves to actual task IDs
- For dependencies FROM other modules: Document in task context as "provides_for" annotation
## EXPECTED DELIVERABLES
Task JSON Files (.task/IMPL-${module.prefix}*.json):
- 6-field schema (id, title, status, context_package_path, meta, context, flow_control)
- Task ID format: IMPL-${module.prefix}1, IMPL-${module.prefix}2, ...
- Quantified requirements with explicit counts
- Artifacts integration from context package (filtered for ${module.name})
- **focus_paths generated directly from prioritized_context.priority_tiers filtered by ${module.paths.join(', ')}**
- NO re-sorting - use pre-computed tiers filtered for this module
- Critical files are PRIMARY focus, High files are SECONDARY
- Flow control with pre_analysis steps (use prioritized_context.dependency_order for module task sequencing)
- **CLI Execution IDs and strategies (MANDATORY)**
- Focus ONLY on ${module.name} module scope
## CLI EXECUTION ID REQUIREMENTS (MANDATORY)
Each task JSON MUST include:
- **cli_execution_id**: Unique ID for CLI execution (format: \`{session_id}-IMPL-${module.prefix}{seq}\`)
- **cli_execution**: Strategy object based on depends_on:
- No deps → \`{ "strategy": "new" }\`
- 1 dep (single child) → \`{ "strategy": "resume", "resume_from": "parent-cli-id" }\`
- 1 dep (multiple children) → \`{ "strategy": "fork", "resume_from": "parent-cli-id" }\`
- N deps → \`{ "strategy": "merge_fork", "merge_from": ["id1", "id2", ...] }\`
- Cross-module dep → \`{ "strategy": "cross_module_fork", "resume_from": "CROSS::{module}::{pattern}" }\`
**CLI Execution Strategy Rules**:
1. **new**: Task has no dependencies - starts fresh CLI conversation
2. **resume**: Task has 1 parent AND that parent has only this child - continues same conversation
3. **fork**: Task has 1 parent BUT parent has multiple children - creates new branch with parent context
4. **merge_fork**: Task has multiple parents - merges all parent contexts into new conversation
5. **cross_module_fork**: Task depends on task from another module - Phase 3 resolves placeholder
**Execution Command Patterns**:
- new: \`ccw cli -p "[prompt]" --tool [tool] --mode write --id [cli_execution_id]\`
- resume: \`ccw cli -p "[prompt]" --resume [resume_from] --tool [tool] --mode write\`
- fork: \`ccw cli -p "[prompt]" --resume [resume_from] --id [cli_execution_id] --tool [tool] --mode write\`
- merge_fork: \`ccw cli -p "[prompt]" --resume [merge_from.join(',')] --id [cli_execution_id] --tool [tool] --mode write\`
- cross_module_fork: (Phase 3 resolves placeholder, then uses fork pattern)
## QUALITY STANDARDS
Hard Constraints:
- Task count <= 9 for this module (hard limit - coordinate with Phase 3 if exceeded)
- All requirements quantified (explicit counts and enumerated lists)
- Acceptance criteria measurable (include verification commands)
- Artifact references mapped from context package (module-scoped filter)
- Focus paths use absolute paths or clear relative paths from project root
- Cross-module dependencies use CROSS:: placeholder format
## SUCCESS CRITERIA
- Task JSONs saved to .task/ with IMPL-${module.prefix}* naming
- All task JSONs include cli_execution_id and cli_execution strategy
- Cross-module dependencies use CROSS:: placeholder format consistently
- Focus paths scoped to ${module.paths.join(', ')} only
- Return: task count, task IDs, dependency summary (internal + cross-module)
## PLANNING NOTES RECORD (REQUIRED)
After completing, append to planning-notes.md:
\`\`\`markdown
### [${module.name}] YYYY-MM-DD
- **Tasks**: [count] ([IDs])
- **CROSS deps**: [placeholders used]
\`\`\`
`
});
moduleAgents.push(agentId);
});
// Batch wait for all module agents
const moduleResults = wait({
ids: moduleAgents,
timeout_ms: 900000 // 15 minutes
});
// Close all module agents
moduleAgents.forEach(agentId => {
close_agent({ id: agentId });
});
```
**Output Structure** (direct to .task/):
```
.task/
├── IMPL-A1.json # Module A (e.g., frontend)
├── IMPL-A2.json
├── IMPL-B1.json # Module B (e.g., backend)
├── IMPL-B2.json
└── IMPL-C1.json # Module C (e.g., shared)
```
**Task ID Naming**:
- Format: `IMPL-{prefix}{seq}.json`
- Prefix: A, B, C... (assigned by detection order)
- Sequence: 1, 2, 3... (per-module increment)
### Phase 3: Integration (+1 Coordinator Agent, Multi-Module Only)
**Condition**: Only executed when `modules.length >= 2`
**Purpose**: Collect all module tasks, resolve cross-module dependencies, generate unified IMPL_PLAN.md and TODO_LIST.md documents.
**Coordinator Agent Invocation**:
```javascript
// Wait for all Phase 2B agents to complete (already done above)
// Spawn +1 Coordinator Agent
const coordinatorAgentId = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/action-planning-agent.md (MUST read first)
2. Read: .workflow/project-tech.json
3. Read: .workflow/project-guidelines.json
---
## TASK OBJECTIVE
Integrate all module task JSONs, resolve cross-module dependencies, and generate unified IMPL_PLAN.md and TODO_LIST.md
IMPORTANT: This is INTEGRATION ONLY - consolidate existing task JSONs, NOT creating new tasks.
## SESSION PATHS
Input:
- Session Metadata: .workflow/active/${session_id}/workflow-session.json
- Context Package: .workflow/active/${session_id}/.process/context-package.json
- Task JSONs: .workflow/active/${session_id}/.task/IMPL-*.json (from Phase 2B)
Output:
- Updated Task JSONs: .workflow/active/${session_id}/.task/IMPL-*.json (resolved dependencies)
- IMPL_PLAN: .workflow/active/${session_id}/IMPL_PLAN.md
- TODO_LIST: .workflow/active/${session_id}/TODO_LIST.md
## CONTEXT METADATA
Session ID: ${session_id}
Modules: ${modules.map(m => m.name + '(' + m.prefix + ')').join(', ')}
Module Count: ${modules.length}
## INTEGRATION STEPS
1. Collect all .task/IMPL-*.json, group by module prefix
2. Resolve CROSS:: dependencies → actual task IDs, update task JSONs
3. Generate IMPL_PLAN.md (multi-module format per agent specification)
4. Generate TODO_LIST.md (hierarchical format per agent specification)
## CROSS-MODULE DEPENDENCY RESOLUTION
- Pattern: CROSS::{module}::{pattern} → IMPL-{module}* matching title/context
- Example: CROSS::B::api-endpoint → IMPL-B1 (if B1 title contains "api-endpoint")
- Log unresolved as warnings
## EXPECTED DELIVERABLES
1. Updated Task JSONs with resolved dependency IDs
2. IMPL_PLAN.md - multi-module format with cross-dependency section
3. TODO_LIST.md - hierarchical by module with cross-dependency section
## SUCCESS CRITERIA
- No CROSS:: placeholders remaining in task JSONs
- IMPL_PLAN.md and TODO_LIST.md generated with multi-module structure
- Return: task count, per-module breakdown, resolved dependency count
## PLANNING NOTES RECORD (REQUIRED)
After integration, update planning-notes.md:
\`\`\`markdown
### [Coordinator] YYYY-MM-DD
- **Total**: [count] tasks
- **Resolved**: [CROSS:: resolutions]
## N+1 Context
### Decisions
| Decision | Rationale | Revisit? |
|----------|-----------|----------|
| CROSS::X → IMPL-Y | [why this resolution] | [Yes/No] |
### Deferred
- [ ] [unresolved CROSS or conflict] - [reason]
\`\`\`
`
});
// Wait for coordinator agent to complete
const coordinatorResult = wait({
ids: [coordinatorAgentId],
timeout_ms: 600000 // 10 minutes
});
// Close coordinator agent
close_agent({ id: coordinatorAgentId });
```
**Dependency Resolution Algorithm**:
```javascript
function resolveCrossModuleDependency(placeholder, allTasks) {
const [, targetModule, pattern] = placeholder.match(/CROSS::(\w+)::(.+)/);
const candidates = allTasks.filter(t =>
t.id.startsWith(`IMPL-${targetModule}`) &&
(t.title.toLowerCase().includes(pattern.toLowerCase()) ||
t.context?.description?.toLowerCase().includes(pattern.toLowerCase()))
);
return candidates.length > 0
? candidates.sort((a, b) => a.id.localeCompare(b.id))[0].id
: placeholder; // Keep for manual resolution
}
```
## Output
- **Files**:
- `.workflow/active/{sessionId}/IMPL_PLAN.md`
- `.workflow/active/{sessionId}/.task/IMPL-*.json`
- `.workflow/active/{sessionId}/TODO_LIST.md`
- **Updated**: `planning-notes.md` with task generation record and N+1 context
## Next Step
Return to orchestrator. Present user with action choices:
1. Verify Plan Quality (Recommended) → `workflow:plan-verify`
2. Start Execution → `workflow:execute`
3. Review Status Only → `workflow:status`