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workflow-execute skill

/.claude/skills/workflow-execute

This skill orchestrates autonomous workflow execution with lazy task loading and comprehensive progress tracking to maximize efficiency.

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---
name: workflow-execute
description: Coordinate agent execution for workflow tasks with automatic session discovery, parallel task processing, and status tracking. Triggers on "workflow:execute".
allowed-tools: Skill, Task, AskUserQuestion, TaskCreate, TaskUpdate, TaskList, Read, Write, Edit, Bash, Glob, Grep
---

# Workflow Execute

Orchestrates autonomous workflow execution through systematic task discovery, agent coordination, and progress tracking. **Executes entire workflow without user interruption** (except initial session selection if multiple active sessions exist), providing complete context to agents and ensuring proper flow control execution with comprehensive TodoWrite tracking.

**Resume Mode**: When called with `--resume-session` flag, skips discovery phase and directly enters TodoWrite generation and agent execution for the specified session.

## Usage

```bash
# Interactive mode (with confirmations)
/workflow:execute
/workflow:execute --resume-session="WFS-auth"

# Auto mode (skip confirmations, use defaults)
/workflow:execute --yes
/workflow:execute -y
/workflow:execute -y --resume-session="WFS-auth"

# With auto-commit (commit after each task completion)
/workflow:execute --with-commit
/workflow:execute -y --with-commit
/workflow:execute -y --with-commit --resume-session="WFS-auth"
```

## Auto Mode Defaults

When `--yes` or `-y` flag is used:
- **Session Selection**: Automatically selects the first (most recent) active session
- **Completion Choice**: Automatically completes session (runs `/workflow:session:complete --yes`)

When `--with-commit` flag is used:
- **Auto-Commit**: After each agent task completes, commit changes based on summary document
- **Commit Principle**: Minimal commits - only commit files modified by the completed task
- **Commit Message**: Generated from task summary with format: "feat/fix/refactor: {task-title} - {summary}"

**Flag Parsing**:
```javascript
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
const withCommit = $ARGUMENTS.includes('--with-commit')
```

## Performance Optimization Strategy

**Lazy Loading**: Task JSONs read **on-demand** during execution, not upfront. TODO_LIST.md + IMPL_PLAN.md provide metadata for planning.

**Loading Strategy**:
- **TODO_LIST.md**: Read in Phase 3 (task metadata, status, dependencies for TodoWrite generation)
- **IMPL_PLAN.md**: Check existence in Phase 2 (normal mode), parse execution strategy in Phase 4A
- **Task JSONs**: Lazy loading - read only when task is about to execute (Phase 4B)

## Core Rules
**Complete entire workflow autonomously without user interruption, using TodoWrite for comprehensive progress tracking.**
**Execute all discovered pending tasks until workflow completion or blocking dependency.**
**User-choice completion: When all tasks finished, ask user to choose review or complete.**
**ONE AGENT = ONE TASK JSON: Each agent instance executes exactly one task JSON file - never batch multiple tasks into single agent execution.**

## Core Responsibilities
- **Session Discovery**: Identify and select active workflow sessions
- **Execution Strategy Parsing**: Extract execution model from IMPL_PLAN.md
- **TodoWrite Progress Tracking**: Maintain real-time execution status throughout entire workflow
- **Agent Orchestration**: Coordinate specialized agents with complete context
- **Status Synchronization**: Update task JSON files and workflow state
- **Autonomous Completion**: Continue execution until all tasks complete or reach blocking state
- **Session User-Choice Completion**: Ask user to choose review or complete when all tasks finished

## Execution Philosophy
- **Progress tracking**: Continuous TodoWrite updates throughout entire workflow execution
- **Autonomous completion**: Execute all tasks without user interruption until workflow complete

## Execution Process

```
Normal Mode:
Phase 1: Discovery
   ├─ Count active sessions
   └─ Decision:
      ├─ count=0 → ERROR: No active sessions
      ├─ count=1 → Auto-select session → Phase 2
      └─ count>1 → AskUserQuestion (max 4 options) → Phase 2

Phase 2: Planning Document Validation
   ├─ Check IMPL_PLAN.md exists
   ├─ Check TODO_LIST.md exists
   └─ Validate .task/ contains IMPL-*.json files

Phase 3: TodoWrite Generation
   ├─ Update session status to "active" (Step 0)
   ├─ Parse TODO_LIST.md for task statuses
   ├─ Generate TodoWrite for entire workflow
   └─ Prepare session context paths

Phase 4: Execution Strategy & Task Execution
   ├─ Step 4A: Parse execution strategy from IMPL_PLAN.md
   └─ Step 4B: Execute tasks with lazy loading
      └─ Loop:
         ├─ Get next in_progress task from TodoWrite
         ├─ Lazy load task JSON
         ├─ Launch agent with task context
         ├─ Mark task completed (update IMPL-*.json status)
         │  # Quick fix: Update task status for ccw dashboard
         │  # TS=$(date -Iseconds) && jq --arg ts "$TS" '.status="completed" | .status_history=(.status_history // [])+[{"from":"in_progress","to":"completed","changed_at":$ts}]' IMPL-X.json > tmp.json && mv tmp.json IMPL-X.json
         ├─ [with-commit] Commit changes based on summary (minimal principle)
         │  # Read summary from .summaries/IMPL-X-summary.md
         │  # Extract changed files from summary's "Files Modified" section
         │  # Generate commit message: "feat/fix/refactor: {task-title} - {summary}"
         │  # git add <changed-files> && git commit -m "<commit-message>"
         └─ Advance to next task

Phase 5: Completion
   ├─ Update task statuses in JSON files
   ├─ Generate summaries
   └─ AskUserQuestion: Choose next step
      ├─ "Enter Review" → Phase 6
      └─ "Complete Session" → /workflow:session:complete

Phase 6: Post-Implementation Review (Optional)
   └─ Ref: phases/06-review.md
      ├─ Select review type (quality/security/architecture/action-items)
      ├─ CLI-assisted analysis (Gemini/Qwen)
      ├─ Generate REVIEW-{type}.md report
      └─ Post-review: another review or complete session

Resume Mode (--resume-session):
   ├─ Skip Phase 1 & Phase 2
   └─ Entry Point: Phase 3 (TodoWrite Generation)
      ├─ Update session status to "active" (if not already)
      └─ Continue: Phase 4 → Phase 5 → [Phase 6]
```

## Execution Lifecycle

### Phase 1: Discovery
**Applies to**: Normal mode only (skipped in resume mode)

**Purpose**: Find and select active workflow session with user confirmation when multiple sessions exist

**Process**:

#### Step 1.1: Count Active Sessions
```bash
bash(find .workflow/active/ -name "WFS-*" -type d 2>/dev/null | wc -l)
```

#### Step 1.2: Handle Session Selection

**Case A: No Sessions** (count = 0)
```
ERROR: No active workflow sessions found
Run /workflow:plan "task description" to create a session
```

**Case B: Single Session** (count = 1)
```bash
bash(find .workflow/active/ -name "WFS-*" -type d 2>/dev/null | head -1 | xargs basename)
```
Auto-select and continue to Phase 2.

**Case C: Multiple Sessions** (count > 1)

List sessions with metadata and prompt user selection:
```bash
bash(for dir in .workflow/active/WFS-*/; do [ -d "$dir" ] || continue; session=$(basename "$dir"); project=$(jq -r '.project // "Unknown"' "${dir}workflow-session.json" 2>/dev/null || echo "Unknown"); total=$(grep -c '^\- \[' "${dir}TODO_LIST.md" 2>/dev/null || echo 0); completed=$(grep -c '^\- \[x\]' "${dir}TODO_LIST.md" 2>/dev/null || echo 0); if [ "$total" -gt 0 ]; then progress=$((completed * 100 / total)); else progress=0; fi; echo "$session | $project | $completed/$total tasks ($progress%)"; done)
```

**Parse --yes flag**:
```javascript
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
```

**Conditional Selection**:
```javascript
if (autoYes) {
  // Auto mode: Select first session (most recent)
  const firstSession = sessions[0]
  console.log(`[--yes] Auto-selecting session: ${firstSession.id}`)
  selectedSessionId = firstSession.id
  // Continue to Phase 2
} else {
  // Interactive mode: Use AskUserQuestion to present formatted options (max 4 options shown)
  // If more than 4 sessions, show most recent 4 with "Other" option for manual input
  const sessions = getActiveSessions()  // sorted by last modified
  const displaySessions = sessions.slice(0, 4)

  AskUserQuestion({
    questions: [{
      question: "Multiple active sessions detected. Select one:",
      header: "Session",
      multiSelect: false,
      options: displaySessions.map(s => ({
        label: s.id,
        description: `${s.project} | ${s.progress}`
      }))
      // Note: User can select "Other" to manually enter session ID
    }]
  })
}
```

**Input Validation**:
- If user selects from options: Use selected session ID
- If user selects "Other" and provides input: Validate session exists
- If validation fails: Show error and re-prompt or suggest available sessions

Parse user input (supports: number "1", full ID "WFS-auth-system", or partial "auth"), validate selection, and continue to Phase 2.

#### Step 1.3: Load Session Metadata
```bash
bash(cat .workflow/active/${sessionId}/workflow-session.json)
```

**Output**: Store session metadata in memory
**DO NOT read task JSONs yet** - defer until execution phase (lazy loading)

**Resume Mode**: This entire phase is skipped when `--resume-session="session-id"` flag is provided.

### Phase 2: Planning Document Validation
**Applies to**: Normal mode only (skipped in resume mode)

**Purpose**: Validate planning artifacts exist before execution

**Process**:
1. **Check IMPL_PLAN.md**: Verify file exists (defer detailed parsing to Phase 4A)
2. **Check plan.json**: Verify file exists (structured plan overview, used in Phase 4A)
3. **Check TODO_LIST.md**: Verify file exists (defer reading to Phase 3)
4. **Validate Task Directory**: Ensure `.task/` contains at least one IMPL-*.json file

**Key Optimization**: Only existence checks here. Actual file reading happens in later phases.

**Resume Mode**: This phase is skipped when `--resume-session` flag is provided. Resume mode entry point is Phase 3.

### Phase 3: TodoWrite Generation
**Applies to**: Both normal and resume modes (resume mode entry point)

**Step 0: Update Session Status to Active**
Before generating TodoWrite, update session status from "planning" to "active":
```bash
# Update session status (idempotent - safe to run if already active)
jq '.status = "active" | .execution_started_at = (.execution_started_at // now | todate)' \
  .workflow/active/${sessionId}/workflow-session.json > tmp.json && \
  mv tmp.json .workflow/active/${sessionId}/workflow-session.json
```
This ensures the dashboard shows the session as "ACTIVE" during execution.

**Process**:
1. **Create TodoWrite List**: Generate task list from TODO_LIST.md (not from task JSONs)
   - Parse TODO_LIST.md to extract all tasks with current statuses
   - Identify first pending task with met dependencies
   - Generate comprehensive TodoWrite covering entire workflow
2. **Prepare Session Context**: Inject workflow paths for agent use (using provided session-id)
3. **Validate Prerequisites**: Ensure IMPL_PLAN.md and TODO_LIST.md exist and are valid

**Resume Mode Behavior**:
- Load existing TODO_LIST.md directly from `.workflow/active/{session-id}/`
- Extract current progress from TODO_LIST.md
- Generate TodoWrite from TODO_LIST.md state
- Proceed immediately to agent execution (Phase 4)

### Phase 4: Execution Strategy Selection & Task Execution
**Applies to**: Both normal and resume modes

**Step 4A: Parse Execution Strategy (plan.json preferred, IMPL_PLAN.md fallback)**

Prefer `plan.json` (structured) over `IMPL_PLAN.md` (human-readable) for execution strategy:
1. **If plan.json exists**: Read `recommended_execution`, `complexity`, `task_ids[]`, `shared_context`
2. **Fallback to IMPL_PLAN.md**: Read Section 4 to extract execution model

Extract:
- **Execution Model**: Sequential | Parallel | Phased | TDD Cycles
- **Parallelization Opportunities**: Which tasks can run in parallel
- **Serialization Requirements**: Which tasks must run sequentially
- **Critical Path**: Priority execution order

If neither has execution strategy, use intelligent fallback (analyze task structure).

**Step 4B: Execute Tasks with Lazy Loading**

**Key Optimization**: Read task JSON **only when needed** for execution

**Execution Loop Pattern**:
```
while (TODO_LIST.md has pending tasks) {
  next_task_id = getTodoWriteInProgressTask()
  task_json = Read(.workflow/active/{session}/.task/{next_task_id}.json)  // Lazy load
  executeTaskWithAgent(task_json)
  updateTodoListMarkCompleted(next_task_id)
  advanceTodoWriteToNextTask()
}
```

**Execution Process per Task**:
1. **Identify Next Task**: From TodoWrite, get the next `in_progress` task ID
2. **Load Task JSON on Demand**: Read `.task/{task-id}.json` for current task ONLY
3. **Validate Task Structure**: Ensure required fields exist (id, title, description, depends_on, convergence)
4. **Launch Agent**: Invoke specialized agent with complete context including flow control steps
5. **Monitor Progress**: Track agent execution and handle errors without user interruption
6. **Collect Results**: Gather implementation results and outputs
7. **[with-commit] Auto-Commit**: If `--with-commit` flag enabled, commit changes based on summary
   - Read summary from `.summaries/{task-id}-summary.md`
   - Extract changed files from summary's "Files Modified" section
   - Determine commit type from `meta.type` (feature→feat, bugfix→fix, refactor→refactor)
   - Generate commit message: "{type}: {task-title} - {summary-first-line}"
   - Commit only modified files (minimal principle): `git add <files> && git commit -m "<message>"`
8. **Continue Workflow**: Identify next pending task from TODO_LIST.md and repeat

**Note**: TODO_LIST.md updates are handled by agents (e.g., code-developer.md), not by the orchestrator.


### Phase 5: Completion
**Applies to**: Both normal and resume modes

**Process**:
1. **Update Task Status**: Mark completed tasks in JSON files
2. **Generate Summary**: Create task summary in `.summaries/`
3. **Update TodoWrite**: Mark current task complete, advance to next
4. **Synchronize State**: Update session state and workflow status
5. **Check Workflow Complete**: Verify all tasks are completed
6. **User Choice**: When all tasks finished, ask user to choose next step:

```javascript
// Parse --yes flag
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')

if (autoYes) {
  // Auto mode: Complete session automatically
  console.log(`[--yes] Auto-selecting: Complete Session`)
  Skill(skill="workflow:session:complete", args="--yes")
} else {
  // Interactive mode: Ask user
  AskUserQuestion({
    questions: [{
      question: "All tasks completed. What would you like to do next?",
      header: "Next Step",
      multiSelect: false,
      options: [
        {
          label: "Enter Review",
          description: "Run specialized review (security/architecture/quality/action-items)"
        },
        {
          label: "Complete Session",
          description: "Archive session and update manifest"
        }
      ]
    }]
  })
}
```

**Based on user selection**:
- **"Enter Review"**: Execute Phase 6 → `Ref: phases/06-review.md`
- **"Complete Session"**: Execute `/workflow:session:complete`

### Post-Completion Expansion

完成后询问用户是否扩展为issue(test/enhance/refactor/doc),选中项调用 `/issue:new "{summary} - {dimension}"`

## Execution Strategy (IMPL_PLAN-Driven)

### Strategy Priority

**IMPL_PLAN-Driven Execution (Recommended)**:
1. **Read IMPL_PLAN.md execution strategy** (Section 4: Implementation Strategy)
2. **Follow explicit guidance**:
   - Execution Model (Sequential/Parallel/Phased/TDD)
   - Parallelization Opportunities (which tasks can run in parallel)
   - Serialization Requirements (which tasks must run sequentially)
   - Critical Path (priority execution order)
3. **Use TODO_LIST.md for status tracking** only
4. **IMPL_PLAN decides "HOW"**, workflow-execute implements it

**Intelligent Fallback (When IMPL_PLAN lacks execution details)**:
1. **Analyze task structure**:
   - Check `meta.execution_group` in task JSONs
   - Analyze `depends_on` relationships
   - Understand task complexity and risk
2. **Apply smart defaults**:
   - No dependencies + same execution_group → Parallel
   - Has dependencies → Sequential (wait for deps)
   - Critical/high-risk tasks → Sequential
3. **Conservative approach**: When uncertain, prefer sequential execution

### Execution Models

#### 1. Sequential Execution
**When**: IMPL_PLAN specifies "Sequential" OR no clear parallelization guidance
**Pattern**: Execute tasks one by one in TODO_LIST order
**TodoWrite**: ONE task marked as `in_progress` at a time

#### 2. Parallel Execution
**When**: IMPL_PLAN specifies "Parallel" with clear parallelization opportunities
**Pattern**: Execute independent task groups concurrently by launching multiple agent instances
**TodoWrite**: MULTIPLE tasks (in same batch) marked as `in_progress` simultaneously
**Agent Instantiation**: Launch one agent instance per task (respects ONE AGENT = ONE TASK JSON rule)

#### 3. Phased Execution
**When**: IMPL_PLAN specifies "Phased" with phase breakdown
**Pattern**: Execute tasks in phases, respect phase boundaries
**TodoWrite**: Within each phase, follow Sequential or Parallel rules

#### 4. Intelligent Fallback
**When**: IMPL_PLAN lacks execution strategy details
**Pattern**: Analyze task structure and apply smart defaults
**TodoWrite**: Follow Sequential or Parallel rules based on analysis

### Task Status Logic
```
pending + dependencies_met → executable
completed → skip
blocked → skip until dependencies clear
```

## TodoWrite Coordination

### TodoWrite Rules (Unified)

**Rule 1: Initial Creation**
- **Normal Mode**: Generate TodoWrite from discovered pending tasks for entire workflow
- **Resume Mode**: Generate from existing session state and current progress

**Rule 2: In-Progress Task Count (Execution-Model-Dependent)**
- **Sequential execution**: Mark ONLY ONE task as `in_progress` at a time
- **Parallel batch execution**: Mark ALL tasks in current batch as `in_progress` simultaneously
- **Execution group indicator**: Show `[execution_group: group-id]` for parallel tasks

**Rule 3: Status Updates**
- **Immediate Updates**: Update status after each task/batch completion without user interruption
- **Status Synchronization**: Sync with JSON task files after updates
- **Continuous Tracking**: Maintain TodoWrite throughout entire workflow execution until completion

**Rule 4: Workflow Completion Check**
- When all tasks marked `completed`, prompt user to choose review or complete session

### TodoWrite Tool Usage

**Example 1: Sequential Execution**
```javascript
TodoWrite({
  todos: [
    {
      content: "Execute IMPL-1.1: Design auth schema [code-developer] [FLOW_CONTROL]",
      status: "in_progress",  // ONE task in progress
      activeForm: "Executing IMPL-1.1: Design auth schema"
    },
    {
      content: "Execute IMPL-1.2: Implement auth logic [code-developer] [FLOW_CONTROL]",
      status: "pending",
      activeForm: "Executing IMPL-1.2: Implement auth logic"
    }
  ]
});
```

**Example 2: Parallel Batch Execution**
```javascript
TodoWrite({
  todos: [
    {
      content: "Execute IMPL-1.1: Build Auth API [code-developer] [execution_group: parallel-auth-api]",
      status: "in_progress",  // Batch task 1
      activeForm: "Executing IMPL-1.1: Build Auth API"
    },
    {
      content: "Execute IMPL-1.2: Build User UI [code-developer] [execution_group: parallel-ui-comp]",
      status: "in_progress",  // Batch task 2 (running concurrently)
      activeForm: "Executing IMPL-1.2: Build User UI"
    },
    {
      content: "Execute IMPL-1.3: Setup Database [code-developer] [execution_group: parallel-db-schema]",
      status: "in_progress",  // Batch task 3 (running concurrently)
      activeForm: "Executing IMPL-1.3: Setup Database"
    },
    {
      content: "Execute IMPL-2.1: Integration Tests [test-fix-agent] [depends_on: IMPL-1.1, IMPL-1.2, IMPL-1.3]",
      status: "pending",  // Next batch (waits for current batch completion)
      activeForm: "Executing IMPL-2.1: Integration Tests"
    }
  ]
});
```

## Agent Execution Pattern

### Flow Control Execution
**[FLOW_CONTROL]** marker indicates task JSON contains `pre_analysis` steps for context preparation.

**Note**: Orchestrator does NOT execute flow control steps - Agent interprets and executes them autonomously.

### Agent Prompt Template
**Path-Based Invocation**: Pass paths and trigger markers, let agent parse task JSON autonomously.

```bash
Task(subagent_type="{meta.agent}",
     run_in_background=false,
     prompt="Implement task {task.id}: {task.title}

     [FLOW_CONTROL]

     **Input**:
     - Task JSON: {session.task_json_path}
     - Context Package: {session.context_package_path}

     **Output Location**:
     - Workflow: {session.workflow_dir}
     - TODO List: {session.todo_list_path}
     - Summaries: {session.summaries_dir}

     **Execution**: Read task JSON → Execute pre_analysis → Check execution_config.method → (CLI: handoff to CLI tool | Agent: direct implementation) → Update TODO_LIST.md → Generate summary",
     description="Implement: {task.id}")
```

**Key Markers**:
- `Implement` keyword: Triggers tech stack detection and guidelines loading
- `[FLOW_CONTROL]`: Triggers pre_analysis execution

**Why Path-Based**: Agent (code-developer.md) autonomously:
- Reads and parses task JSON (description, convergence, implementation, execution_config)
- Executes pre_analysis steps (Phase 1: context gathering)
- Checks execution_config.method (Phase 2: determine mode)
- CLI mode: Builds handoff prompt and executes via ccw cli with resume strategy
- Agent mode: Directly implements using modification_points and logic_flow
- Generates structured summary with integration points

Embedding task content in prompt creates duplication and conflicts with agent's parsing logic.

### Agent Assignment Rules
```
meta.agent specified → Use specified agent
meta.agent missing → Infer from meta.type:
  - "feature" → @code-developer
  - "test-gen" → @code-developer
  - "test-fix" → @test-fix-agent
  - "review" → @universal-executor
  - "docs" → @doc-generator
```

## Phase Reference Documents

| Phase | Document | Purpose |
|-------|----------|---------|
| 6 | [phases/06-review.md](phases/06-review.md) | Post-implementation specialized review (security/architecture/quality/action-items) |

## Workflow File Structure Reference
```
.workflow/active/WFS-[topic-slug]/
├── workflow-session.json     # Session state and metadata
├── plan.json                # Structured plan overview (machine-readable)
├── IMPL_PLAN.md             # Planning document and requirements (human-readable)
├── TODO_LIST.md             # Progress tracking (updated by agents)
├── .task/                   # Task definitions (JSON only)
│   ├── IMPL-1.json          # Main task definitions
│   └── IMPL-1.1.json        # Subtask definitions
├── .summaries/              # Task completion summaries
│   ├── IMPL-1-summary.md    # Task completion details
│   └── IMPL-1.1-summary.md  # Subtask completion details
└── .process/                # Planning artifacts
    ├── context-package.json # Smart context package
    └── ANALYSIS_RESULTS.md  # Planning analysis results
```

## Error Handling & Recovery

### Common Errors & Recovery

| Error Type | Cause | Recovery Strategy | Max Attempts |
|-----------|-------|------------------|--------------|
| **Discovery Errors** |
| No active session | No sessions in `.workflow/active/` | Create or resume session: `/workflow:plan "project"` | N/A |
| Multiple sessions | Multiple sessions in `.workflow/active/` | Prompt user selection | N/A |
| Corrupted session | Invalid JSON files | Recreate session structure or validate files | N/A |
| **Execution Errors** |
| Agent failure | Agent crash/timeout | Retry with simplified context | 2 |
| Flow control error | Command failure | Skip optional, fail critical | 1 per step |
| Context loading error | Missing dependencies | Reload from JSON, use defaults | 3 |
| JSON file corruption | File system issues | Restore from backup/recreate | 1 |

### Error Prevention
- **Pre-flight Checks**: Validate session integrity before execution
- **Backup Strategy**: Create task snapshots before major operations
- **Atomic Updates**: Update JSON files atomically to prevent corruption
- **Dependency Validation**: Check all depends_on references exist
- **Context Verification**: Ensure all required context is available

## Auto-Commit Mode (--with-commit)

**Behavior**: After each agent task completes, automatically commit changes based on summary document.

**Minimal Principle**: Only commit files modified by the completed task.

**Commit Message Format**: `{type}: {task-title} - {summary}`

**Type Mapping** (from `meta.type`):
- `feature` → `feat` | `bugfix` → `fix` | `refactor` → `refactor`
- `test-gen` → `test` | `docs` → `docs` | `review` → `chore`

**Implementation**:
```bash
# 1. Read summary from .summaries/{task-id}-summary.md
# 2. Extract files from "Files Modified" section
# 3. Commit: git add <files> && git commit -m "{type}: {title} - {summary}"
```

**Error Handling**: Skip commit on no changes/missing summary, log errors, continue workflow.

## Related Skills

**Prerequisite Skills**:
- `/workflow:plan` - Generate implementation plan and task JSONs

**Called During Execution**:
- `/workflow:session:complete` - Archive session after all tasks complete
- `/workflow:review` - Post-implementation review

**Follow-up Skills**:
- `/issue:new` - Create follow-up issues (test/enhance/refactor/doc)

Overview

This skill coordinates autonomous workflow execution across multiple specialized agents with automatic session discovery, parallel task processing, and live status tracking. It executes an entire workflow end-to-end (with optional resume and auto-commit modes) while maintaining a comprehensive TodoWrite that records progress. It favors lazy loading of task JSONs and minimal, atomic commits when requested.

How this skill works

The orchestrator discovers active workflow sessions (or resumes a specified session), validates planning artifacts, and generates a TodoWrite from TODO_LIST.md without reading task JSONs upfront. It parses execution strategy from plan.json or IMPL_PLAN.md, then executes tasks in a loop: lazy-load the single task JSON, launch a dedicated agent for that task, update task status and TodoWrite, and optionally auto-commit minimal changes after each task. The skill continues autonomously until completion or a blocking dependency and offers an interactive review/complete choice at the end.

When to use it

  • Run full automated workflow execution covering all pending tasks without manual per-task intervention
  • Resume a partially executed session using --resume-session to continue from existing TODO_LIST.md state
  • Execute workflows quickly with lazy loading to reduce upfront IO and memory overhead
  • Run CI-friendly automated commits per task with --with-commit to keep history granular
  • Operate in unattended environments using --yes / -y for auto-selection of the most recent session

Best practices

  • Keep TODO_LIST.md and IMPL_PLAN.md accurate to improve TodoWrite generation and execution strategy
  • Prefer plan.json for structured execution strategy; fall back to IMPL_PLAN.md only when necessary
  • Use --with-commit for minimal, task-scoped commits; ensure summaries list changed files under a Files Modified section
  • Limit agent scope: enforce ONE AGENT = ONE TASK JSON to preserve traceable, atomic work units
  • Use --resume-session when re-running interrupted sessions to avoid discovery and validation overhead

Example use cases

  • Autonomously implement a multi-step feature across several agents with minimal human oversight
  • Resume a CI-run workflow that paused or failed, continuing from the last saved TODO_LIST.md state
  • Run parallelizable tasks identified in plan.json to reduce total execution time
  • Apply incremental changes with automated commit messages derived from task summaries
  • Perform post-implementation review (quality/security/architecture) after automated execution completes

FAQ

What happens if multiple active sessions exist?

Interactive mode prompts selection (max 4 shown) or auto-selects the most recent when --yes is used. You can also pass --resume-session to target a specific session.

How does --with-commit generate commits?

After a task completes, it reads the task summary, extracts the Files Modified list, generates a minimal commit message from the task meta (feat/fix/refactor) and summary, then stages and commits only the listed files.