---
name: ccw-loop
description: Stateless iterative development loop with single-agent deep interaction. Supports develop, debug, validate phases with file-based state tracking. Triggers on "ccw-loop", "dev loop", "development loop", "开发循环", "迭代开发".
allowed-tools: spawn_agent, wait, send_input, close_agent, AskUserQuestion, Read, Write, Edit, Bash, Glob, Grep
---

# CCW Loop - Stateless Iterative Development Workflow

Stateless iterative development loop using Codex single-agent deep interaction pattern. One agent handles all phases (develop → debug → validate → complete) via `send_input`, with file-based state tracking and Dashboard integration.

## Architecture Overview

```
+-------------------------------------------------------------+
|                     Dashboard (UI)                           |
|  [Create] [Start] [Pause] [Resume] [Stop] [View Progress]  |
+-------------------------------------------------------------+
                              |
                              v
+-------------------------------------------------------------+
|              loop-v2-routes.ts (Control Plane)               |
|                                                              |
|  State: {projectRoot}/.workflow/.loop/{loopId}.json (MASTER)  |
|  Tasks: {projectRoot}/.workflow/.loop/{loopId}.tasks.jsonl   |
|                                                              |
|  /start  -> Trigger ccw-loop skill with --loop-id           |
|  /pause  -> Set status='paused' (skill checks before action) |
|  /stop   -> Set status='failed' (skill terminates)          |
|  /resume -> Set status='running' (skill continues)          |
+-------------------------------------------------------------+
                              |
                              v
+-------------------------------------------------------------+
|               ccw-loop Skill (Execution Plane)               |
|                                                              |
|  Single Agent Deep Interaction:                              |
|    spawn_agent -> wait -> send_input -> ... -> close_agent   |
|                                                              |
|  Actions: INIT -> DEVELOP -> DEBUG -> VALIDATE -> COMPLETE   |
+-------------------------------------------------------------+
```

## Key Design Principles

1. **Single Agent Deep Interaction**: One agent handles entire loop lifecycle via `send_input` (no multi-agent overhead)
2. **Unified State**: API and Skill share `{projectRoot}/.workflow/.loop/{loopId}.json` state file
3. **Control Signals**: Skill checks `status` field before each action (paused/stopped → graceful exit)
4. **File-Driven Progress**: All progress documented in `{projectRoot}/.workflow/.loop/{loopId}.progress/`
5. **Resumable**: Continue any loop with `--loop-id`
6. **Dual Trigger**: Supports API trigger (`--loop-id`) and direct call (task description)

## Arguments

| Arg | Required | Description |
|-----|----------|-------------|
| TASK | One of TASK or --loop-id | Task description (for new loop) |
| --loop-id | One of TASK or --loop-id | Existing loop ID to continue |
| --auto | No | Auto-cycle mode (develop → debug → validate → complete) |

## Prep Package Integration

When `prep-package.json` exists at `{projectRoot}/.workflow/.loop/prep-package.json`, Phase 1 consumes it to:
- Load pre-built task list from `prep-tasks.jsonl` instead of generating tasks from scratch
- Apply auto-loop config (max_iterations, timeout)
- Preserve source provenance and convergence criteria from upstream planning/analysis skills

Prep packages are generated by the interactive prompt `/prompts:prep-loop`, which accepts JSONL from:
- `collaborative-plan-with-file` (tasks.jsonl)
- `analyze-with-file` (tasks.jsonl)
- `brainstorm-to-cycle` (cycle-task.md → converted to task format)

See [phases/00-prep-checklist.md](phases/00-prep-checklist.md) for schema and validation rules.

## Execution Modes

### Mode 1: Interactive

User manually selects each action via menu.

```
User -> MENU -> Select action -> Execute -> View results -> MENU -> ...
```

### Mode 2: Auto-Loop

Automatic execution using `selectNextAction` logic.

```
INIT -> DEVELOP -> ... -> VALIDATE -> (if fail) -> DEBUG -> VALIDATE -> COMPLETE
```

## Execution Flow

```
Input Parsing:
   └─ Parse arguments (TASK | --loop-id + --auto)
   └─ Convert to structured context (loopId, state, progressDir)

Phase 1: Session Initialization
   └─ Ref: phases/01-session-init.md
      ├─ Create new loop OR resume existing loop
      ├─ Initialize state file and directory structure
      └─ Output: loopId, state, progressDir

Phase 2: Orchestration Loop
   └─ Ref: phases/02-orchestration-loop.md
      ├─ Spawn single executor agent
      ├─ Main while loop: wait → parse → dispatch → send_input
      ├─ Handle: COMPLETED / PAUSED / STOPPED / WAITING_INPUT / next action
      ├─ Update iteration count per cycle
      └─ close_agent on exit
```

**Phase Reference Documents** (read on-demand when phase executes):

| Phase | Document | Purpose |
|-------|----------|---------|
| 0 | [phases/00-prep-checklist.md](phases/00-prep-checklist.md) | Prep package schema and validation rules |
| 1 | [phases/01-session-init.md](phases/01-session-init.md) | Argument parsing, state creation/resume, directory init |
| 2 | [phases/02-orchestration-loop.md](phases/02-orchestration-loop.md) | Agent spawn, main loop, result parsing, send_input dispatch |

## Data Flow

```
User Input (TASK | --loop-id + --auto)
    ↓
[Parse Arguments]
    ↓ loopId, state, progressDir

Phase 1: Session Initialization
    ↓ loopId, state (initialized/resumed), progressDir

Phase 2: Orchestration Loop
    ↓ spawn agent → [INIT] → wait → parse
    ↓
    ┌─── Main Loop (while iteration < max) ──────────┐
    │ wait() → parseActionResult(output)               │
    │   ├─ COMPLETED → close_agent, return             │
    │   ├─ PAUSED → close_agent, return                │
    │   ├─ STOPPED → close_agent, return               │
    │   ├─ WAITING_INPUT → collect input → send_input  │
    │   └─ next_action → send_input(continue)          │
    │ Update iteration in state file                   │
    └──────────────────────────────────────────────────┘
    ↓
close_agent → return finalState
```

## Session Structure

```
{projectRoot}/.workflow/.loop/
├── {loopId}.json              # Master state file (API + Skill shared)
├── {loopId}.tasks.jsonl       # Task list (API managed)
└── {loopId}.progress/         # Skill progress files
    ├── develop.md             # Development progress timeline
    ├── debug.md               # Understanding evolution document
    ├── validate.md            # Validation report
    ├── changes.log            # Code changes log (NDJSON)
    ├── debug.log              # Debug log (NDJSON)
    ├── hypotheses.json        # Debug hypotheses tracking
    ├── test-results.json      # Test execution results
    ├── coverage.json          # Coverage data
    └── summary.md             # Completion summary
```

## State Management

Master state file: `{projectRoot}/.workflow/.loop/{loopId}.json`

```json
{
  "loop_id": "loop-v2-20260122T100000-abc123",
  "title": "Task title",
  "description": "Full task description",
  "max_iterations": 10,
  "status": "created | running | paused | completed | failed | user_exit",
  "current_iteration": 0,
  "created_at": "ISO8601",
  "updated_at": "ISO8601",
  "completed_at": "ISO8601 (optional)",
  "failure_reason": "string (optional)",

  "skill_state": {
    "current_action": "init | develop | debug | validate | complete | null",
    "last_action": "string | null",
    "completed_actions": [],
    "mode": "interactive | auto",

    "develop": {
      "total": 0, "completed": 0, "current_task": null,
      "tasks": [{ "id": "task-001", "description": "...", "tool": "gemini", "mode": "write", "status": "pending", "files_changed": [], "created_at": "ISO8601", "completed_at": null }],
      "last_progress_at": null
    },

    "debug": {
      "active_bug": null, "hypotheses_count": 0,
      "hypotheses": [{ "id": "H1", "description": "...", "testable_condition": "...", "logging_point": "file:func:line", "evidence_criteria": { "confirm": "...", "reject": "..." }, "likelihood": 1, "status": "pending", "evidence": null, "verdict_reason": null }],
      "confirmed_hypothesis": null, "iteration": 0, "last_analysis_at": null
    },

    "validate": {
      "pass_rate": 0, "coverage": 0,
      "test_results": [{ "test_name": "...", "suite": "...", "status": "passed | failed | skipped", "duration_ms": 0, "error_message": null, "stack_trace": null }],
      "passed": false, "failed_tests": [], "last_run_at": null
    },

    "errors": [{ "action": "...", "message": "...", "timestamp": "ISO8601" }],

    "summary": { "duration": 0, "iterations": 0, "develop": {}, "debug": {}, "validate": {} }
  }
}
```

**Control Signal Checking**: Agent checks `state.status` before every action:
- `running` → continue
- `paused` → exit gracefully, wait for resume
- `failed` → terminate
- Other → stop

**Recovery**: If state corrupted, rebuild `skill_state` from `{projectRoot}/.workflow/.loop/{loopId}.progress/` markdown files and logs.

## Action Catalog

| Action | Purpose | Preconditions | Output Files | Trigger |
|--------|---------|---------------|--------------|---------|
| [INIT](actions/action-init.md) | Initialize session | status=running, skill_state=null | develop.md, state.json | First run |
| [DEVELOP](actions/action-develop.md) | Execute dev task | pending tasks > 0 | develop.md, changes.log | Has pending tasks |
| [DEBUG](actions/action-debug.md) | Hypothesis debug | needs debugging | debug.md, debug.log | Test failures |
| [VALIDATE](actions/action-validate.md) | Run tests | needs validation | validate.md, test-results.json | After develop/debug |
| [COMPLETE](actions/action-complete.md) | Finish loop | all done | summary.md | All tasks done |
| [MENU](actions/action-menu.md) | Display menu | interactive mode | - | Interactive mode |

### Action Flow

```
spawn_agent (ccw-loop-executor)
       |
       v
   +-------+
   |  INIT |  (if skill_state is null)
   +-------+
       |
       v
   +-------+    send_input
   |  MENU | <------------- (user selection in interactive mode)
   +-------+
       |
   +---+---+---+---+
   |   |   |   |   |
   v   v   v   v   v
 DEV DBG VAL CMP EXIT
       |
       v
   wait() -> get result
       |
       v
   [Loop continues via send_input]
       |
       v
  close_agent()
```

### Action Dependencies

| Action | Depends On | Leads To |
|--------|------------|----------|
| INIT | - | MENU or DEVELOP |
| MENU | INIT | User selection |
| DEVELOP | INIT | DEVELOP, DEBUG, VALIDATE |
| DEBUG | INIT | DEVELOP, VALIDATE |
| VALIDATE | DEVELOP or DEBUG | COMPLETE, DEBUG, DEVELOP |
| COMPLETE | - | Terminal |

### Action Sequences

```
Happy Path (Auto):  INIT → DEVELOP → DEVELOP → VALIDATE (pass) → COMPLETE
Debug Iteration:    INIT → DEVELOP → VALIDATE (fail) → DEBUG → VALIDATE (pass) → COMPLETE
Interactive Path:   INIT → MENU → DEVELOP → MENU → VALIDATE → MENU → COMPLETE
```

## Auto Mode Selection Logic

```javascript
function selectNextAction(state) {
  const skillState = state.skill_state

  // 1. Terminal conditions
  if (state.status === 'completed') return null
  if (state.status === 'failed') return null
  if (state.current_iteration >= state.max_iterations) return 'COMPLETE'

  // 2. Initialization check
  if (!skillState) return 'INIT'

  // 3. Auto selection based on state
  const hasPendingDevelop = skillState.develop.tasks.some(t => t.status === 'pending')

  if (hasPendingDevelop) return 'DEVELOP'

  if (skillState.last_action === 'DEVELOP') {
    if (skillState.develop.completed < skillState.develop.total) return 'DEBUG'
  }

  if (skillState.last_action === 'DEBUG' || skillState.debug.confirmed_hypothesis) {
    return 'VALIDATE'
  }

  if (skillState.last_action === 'VALIDATE') {
    if (!skillState.validate.passed) return 'DEVELOP'
  }

  if (skillState.validate.passed && !hasPendingDevelop) return 'COMPLETE'

  return 'DEVELOP'
}
```

## Coordination Protocol

### Agent → Orchestrator (ACTION_RESULT)

Every action MUST output:

```
ACTION_RESULT:
- action: {ACTION_NAME}
- status: success | failed | needs_input
- message: {user-facing message}
- state_updates: { ... }

FILES_UPDATED:
- {file_path}: {description}

NEXT_ACTION_NEEDED: {ACTION_NAME} | WAITING_INPUT | COMPLETED | PAUSED
```

### Orchestrator → Agent (send_input)

Auto mode continuation:

```
## CONTINUE EXECUTION

Previous action completed: {action}
Result: {status}

## EXECUTE NEXT ACTION

Continue with: {next_action}
Read action instructions and execute.
Output ACTION_RESULT when complete.
```

Interactive mode user input:

```
## USER INPUT RECEIVED

Action selected: {action}

## EXECUTE SELECTED ACTION

Read action instructions and execute: {action}
Update state and progress files accordingly.
Output ACTION_RESULT when complete.
```

### Codex Subagent API

| API | Purpose |
|-----|---------|
| `spawn_agent({ message })` | Create subagent, returns `agent_id` |
| `wait({ ids, timeout_ms })` | Wait for results (only way to get output) |
| `send_input({ id, message })` | Continue interaction / follow-up |
| `close_agent({ id })` | Close and reclaim (irreversible) |

**Rules**: Single agent for entire loop. `send_input` for multi-phase. `close_agent` only after confirming no more interaction needed.

## TodoWrite Pattern

### Phase-Level Tracking (Attached)

```json
[
  {"content": "Phase 1: Session Initialization", "status": "completed"},
  {"content": "Phase 2: Orchestration Loop", "status": "in_progress"},
  {"content": "  → Action: INIT", "status": "completed"},
  {"content": "  → Action: DEVELOP (task 1/3)", "status": "in_progress"},
  {"content": "  → Action: VALIDATE", "status": "pending"},
  {"content": "  → Action: COMPLETE", "status": "pending"}
]
```

### Iteration Tracking (Collapsed)

```json
[
  {"content": "Phase 1: Session Initialization", "status": "completed"},
  {"content": "Iteration 1: DEVELOP x3 + VALIDATE (pass)", "status": "completed"},
  {"content": "Phase 2: COMPLETE", "status": "in_progress"}
]
```

## Core Rules

1. **Start Immediately**: First action is TodoWrite initialization, then Phase 1 execution
2. **Progressive Phase Loading**: Read phase docs ONLY when that phase is about to execute
3. **Parse Every Output**: Extract ACTION_RESULT from agent output for next decision
4. **Auto-Continue**: After each action, execute next pending action automatically (auto mode)
5. **Track Progress**: Update TodoWrite dynamically with attachment/collapse pattern
6. **Single Writer**: Orchestrator updates master state file; agent writes to progress files
7. **File References**: Pass file paths between orchestrator and agent, not content
8. **DO NOT STOP**: Continuous execution until COMPLETED, PAUSED, STOPPED, or max iterations

## Error Handling

| Error Type | Recovery |
|------------|----------|
| Agent timeout | send_input requesting convergence, then retry |
| State corrupted | Rebuild from progress markdown files and logs |
| Agent closed unexpectedly | Re-spawn with previous output in message |
| Action failed | Log error, continue or prompt user |
| Tests fail | Loop back to DEVELOP or DEBUG |
| Max iterations reached | Generate summary with remaining issues documented |
| Session not found | Create new session |

## Coordinator Checklist

### Before Each Phase

- [ ] Read phase reference document
- [ ] Check current state for dependencies
- [ ] Update TodoWrite with phase tasks

### After Each Phase

- [ ] Parse agent outputs (ACTION_RESULT)
- [ ] Update master state file (iteration count, updated_at)
- [ ] Collapse TodoWrite sub-tasks
- [ ] Determine next action (continue / iterate / complete)

## Reference Documents

| Document | Purpose |
|----------|---------|
| [actions/](actions/) | Action definitions (INIT, DEVELOP, DEBUG, VALIDATE, COMPLETE, MENU) |

## Usage

```bash
# Start new loop (direct call)
/ccw-loop TASK="Implement user authentication"

# Auto-cycle mode
/ccw-loop --auto TASK="Fix login bug and add tests"

# Continue existing loop
/ccw-loop --loop-id=loop-v2-20260122-abc123

# API triggered auto-cycle
/ccw-loop --loop-id=loop-v2-20260122-abc123 --auto
```