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plan-do-check-act

PDCA workflow automation with session binding and progress recovery. Requires Python 3.6 and Git (optional).

作者: admin | 来源: ClawHub
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ClawHub
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V 1.2.0
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plan-do-check-act

# Plan-Do-Check-Act Skill This skill implements the PDCA (Plan-Do-Check-Act) workflow to ensure tasks are systematically planned and executed. ## Requirements - **Python 3.6+** - Required for all scripts - **Git** - **Optional** - Only used for progress tracking. PDCA works perfectly without Git - it will use file modification times instead. ## Setup Guide (First Time) After installing, run the setup wizard: ```bash # Run interactive setup python3 scripts/setup.py ``` The wizard will: 1. Check Python and Git dependencies 2. Create workspace directory (default: `~/pdca-workspace`) 3. Create a test plan 4. Optionally initialize Git for progress tracking 5. Show next steps ### Manual Setup If you prefer manual setup: ```bash # 1. Create workspace directory mkdir -p ~/pdca-workspace # 2. Create a test plan cd ~/pdca-workspace manage_plan.py create "My First Plan" "Task 1" "Task 2" "Task 3" # 3. Verify it works manage_plan.py check plan.md # 4. (Optional) Set up git for progress tracking git init ``` ## Security Notes - **Workspace Scope:** Only operates on `plan*.md` files in the configured workspace directory - **Destructive Operations:** `cleanup` command deletes archived files older than specified days (default 7) - **User Confirmation:** Archive operation prompts for confirmation if plan is not completed - **Dry Run:** Use `cleanup --dry-run` to preview before deleting - **Autonomous Invocation:** Should require user confirmation before cleanup/archive operations --- ## Core Process ### 1. Plan When receiving a user task, create `plan.md`: - Break down the task into executable subtasks - Record the session ID - Mark priorities and dependencies ### 2. Do Execute tasks according to plan.md: - Check off each completed task `[x]` - Mark in-progress tasks as `[>]` - Record issues during execution ### 3. Check After all tasks are completed: - Check for any missed items - Verify output meets expectations - Identify areas for improvement ### 4. Act Based on check results: - Fix identified issues - Update plan.md with learnings - Archive or iterate --- ## plan.md Template ```markdown # Task Plan: [Task Name] **Session:** discord:1488795270769676318 **Created:** YYYY-MM-DD HH:MM **Status:** IN_PROGRESS | COMPLETED | PAUSED ## Current Task > Task 3 - Implement Login API (in progress) ## Checklist - [x] Task 1 - Database Design - [x] Task 2 - User Model Creation - [>] Task 3 - Implement Login API (in progress) - [ ] Task 4 - Implement Registration API - [ ] Task 5 - Unit Testing ## Notes Records during execution... ## Check Results Fill in after completion... ``` --- ## Trigger Scenarios ### Core Logic: Step Analysis After receiving a task, quickly analyze **how many steps are needed**: **1-2 steps** → Execute directly, no plan - "Rename a file" - "Delete that test file" **3-5 steps** → Optional plan (ask user) - "Help me build a login feature" **5+ steps** → Auto trigger PDCA - "Build a complete user system with registration and login" - "Refactor this project from React to Vue" ### Step Analysis Dimensions | Dimension | 1 step | 2-3 steps | 5+ steps | |-----------|--------|-----------|----------| | **File Changes** | Single file | 2-3 files | Multiple modules/dirs | | **Dependencies** | None | Simple | Multi-layer/sequential | | **Tech Stack** | Single tech | 2 techs | Full-stack/multi-service | | **Testing** | No testing | Simple validation | Full test suite | | **Deploy/Config** | No deploy | Local run | Deploy + config + docs | ### Keyword Triggers Trigger regardless of step count when user explicitly requests: - "break down", "decompose", "plan", "checklist" - "plan", "checklist", "todo", "track" --- ## Session Binding ### plan.md Records Session ID ```markdown **Session:** discord:1488795270769676318 ``` ### Categorized Display After Wake ``` Uncompleted plans for current session: 1. plan.md - User System Development (2/5) Uncompleted plans for other sessions: 2. plan-blog.md - Blog Setup (1/3) ← telegram:123456 ``` --- ## Interruption Recovery ### Two Interruption Scenarios | Scenario | Handling | |----------|----------| | **Unexpected** (network down, crash) | Check file modifications within 10 minutes | | **Manual Pause** ("pause for now") | Use `PAUSED` status explicitly | ### Progress Inference (Active Check) 1. **Check git status** - Uncommitted changes 2. **Check file modification time** - Files within 10 minutes 3. **Compare task description** - Keyword matching 4. **Identify task type** - Code/Test/Deploy/Docs/General 5. **Ask user confirmation** - Final confirmation ### Recovery Flow ``` Wake → on-start → Read plan.md → Check files within 10 min ↓ "login_api.py modified 3 min ago, continue?" ``` --- ## Consumption Mechanism ### Status Flow ``` CREATED → IN_PROGRESS → PAUSED ↔ RESUMED → COMPLETED → ARCHIVED ``` ### Execution Rules - Consume one task at a time - Check off immediately upon completion `[x]` - Skip and record if blocked ### Concurrency Control - Only one active plan at a time - When new task arrives: if incomplete plan exists → ask "Finish previous or create new?" --- ## Destruction Mechanism ### Archive Strategy | Status | Retention | Action | |--------|-----------|--------| | **COMPLETED** | 7 days | Move to `archive/plan-YYYY-MM-DD-taskname.md` | | **PAUSED** | 30 days | Ask user to continue or delete | | **STALE** (no update >14 days) | Immediate | Mark as `ABANDONED`, wait for confirmation | ### Cleanup Commands ```bash # Archive completed manage_plan.py archive # Cleanup expired files (>7 days) manage_plan.py cleanup --days 7 # List all plans manage_plan.py list ``` --- ## Usage ### Agent Workflow ### Trigger Conditions **Automatically trigger PDCA when user:** - Asks about incomplete tasks: "What's not done?", "What's pending?", "Any unfinished tasks?" - Asks about progress: "How's it going?", "Progress check", "What's the status?" - Asks about the plan: "What's the plan?", "Show me the plan" - Submits a complex task (5+ steps) - Explicitly requests: "break down", "create a plan", "make a checklist" ### Plan Phase 1. Analyze steps with `analyze_steps.py` 2. If 5+ steps → create plan.md 3. **Output plan content to user** ### Do Phase 1. Execute tasks one by one 2. After each task → update plan.md 3. **Report progress to user** **Example:** ``` 「✓ Task 1 complete (Database Design) → Starting Task 2 (User Model Creation)」 ``` ### Check Phase 1. When user asks "What's not done?" → run `manage_plan.py on-start` 2. Output incomplete plans with progress 3. **Example response:** ``` 「You have 1 incomplete plan: **User System Development** (2/5 complete) ✓ Database Design ✓ User Model Creation ○ Implement Login API (in progress) ○ Implement Registration API ○ Unit Testing Next task: Implement Login API」 ``` ### Act Phase 1. Fix identified issues 2. Archive completed plans ### Create Plan ```bash # Simple create manage_plan.py create "User System" "Database Design" "User Model" "Login API" # With session manage_plan.py create "User System" "Task 1" "Task 2" \ --session "discord:1488795270769676318" # Specify output file manage_plan.py create "Blog Setup" "Buy Domain" "Deploy" \ --output plan-blog.md ``` ### Update Status ```bash # Complete tasks 1 and 2 manage_plan.py update plan.md --completed 0,1 # Mark current task (in progress) manage_plan.py update plan.md --current 2 ``` ### Pause/Resume ```bash # Pause manage_plan.py pause plan.md --reason "Waiting for API response" # Resume manage_plan.py resume plan.md ``` ### Session Start Check ```bash # Check incomplete plans manage_plan.py on-start . "discord:1488795270769676318" ``` ### Progress Check ```bash # Check current progress manage_plan.py check plan.md # Detailed progress check (with git and files) python3 scripts/check_progress.py . plan.md ``` --- ## Scripts | Script | Function | |--------|----------| | `manage_plan.py` | Main management script (create/update/pause/resume/archive) | | `check_progress.py` | Progress check (git + file modification + keyword matching) | | `analyze_steps.py` | Step analysis (decide whether to plan) | | `check_deps.py` | Dependency check | --- ## Configuration Default workspace: `~/.openclaw/workspace/` Plan files: `plan.md` or `plan-*.md` Archive directory: `archive/` **Security:** - Only operates on `plan*.md` files in the workspace - Does not modify non-plan files - Archive/cleanup only affects `archive/` directory - Use `--dry-run` to preview cleanup before deleting

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该技能支持在以下平台通过对话安装:

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skillhub install plan-do-check-act-1775890151

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⬇ 下载 plan-do-check-act v1.2.0

文件大小: 17.1 KB | 发布时间: 2026-4-12 10:59

v1.2.0 最新 2026-4-12 10:59
Added trigger conditions documentation: agent now knows to call manage_plan.py on-start when user asks about incomplete tasks, progress, or plan status

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