AgentSkillsCN

feature-pipeline

借助Markdown复选框,从设计文档中执行具体的实施任务。在以下场景中使用此方法:(1) 根据功能分析器的输出实现功能;(2) 恢复中断的工作;(3) 批量执行任务。可通过“开始实施”“执行任务”“恢复”等关键词触发。

SKILL.md
--- frontmatter
name: feature-pipeline
description: Execute implementation tasks from design documents using markdown checkboxes. Use when (1) implementing features from feature-analyzer output, (2) resuming interrupted work, (3) batch executing tasks. Triggers on 'start implementation', 'run tasks', 'resume'.

Feature Pipeline

Execute implementation tasks directly from design documents. Tasks are managed as markdown checkboxes - no separate session files needed.

Quick Reference

bash
# Get next task
python3 scripts/task_manager.py next --file <design.md>

# Mark task completed
python3 scripts/task_manager.py done --file <design.md> --task "Task Title"

# Mark task failed
python3 scripts/task_manager.py fail --file <design.md> --task "Task Title" --reason "..."

# Show status
python3 scripts/task_manager.py status --file <design.md>

Task Format

Tasks are written as markdown checkboxes in the design document:

markdown
## Implementation Tasks

- [ ] **Create User model** `priority:1` `phase:model`
  - files: src/models/user.py, tests/models/test_user.py
  - [ ] User model has email and password_hash fields
  - [ ] Email validation implemented
  - [ ] Password hashing uses bcrypt

- [ ] **Implement JWT utils** `priority:2` `phase:model`
  - files: src/utils/jwt.py
  - [ ] generate_token() creates valid JWT
  - [ ] verify_token() validates JWT

- [ ] **Create auth API** `priority:3` `phase:api` `deps:Create User model,Implement JWT utils`
  - files: src/api/auth.py
  - [ ] POST /register endpoint
  - [ ] POST /login endpoint

See references/task-format.md for full format specification.

Execution Loop

code
LOOP until no tasks remain:
  1. GET next task (task_manager.py next)
  2. READ task details (files, criteria)
  3. IMPLEMENT the task
  4. VERIFY acceptance criteria
  5. UPDATE status (task_manager.py done/fail)
  6. CONTINUE

Unattended Mode Rules

  • NO stopping for questions
  • NO asking for clarification
  • Make autonomous decisions based on codebase patterns
  • If blocked, mark as failed and continue

Status Updates

Completed task:

markdown
- [x] **Create User model** `priority:1` `phase:model` ✅
  - files: src/models/user.py
  - [x] User model has email field
  - [x] Password hashing implemented

Failed task:

markdown
- [x] **Create User model** `priority:1` `phase:model` ❌
  - files: src/models/user.py
  - [ ] User model has email field
  - reason: Missing database configuration

Resume / Recovery

To resume interrupted work, simply run again with the same design file:

code
/feature-pipeline docs/designs/xxx.md

The task manager will find the first uncompleted task and continue from there.

Integration

This skill is typically triggered after /feature-analyzer completes:

code
User: /feature-analyzer implement user auth

Claude: [designs feature, generates task list]
        Design saved to docs/designs/2026-01-02-user-auth.md
        Ready to start implementation?

User: Yes / 开始实现

Claude: [executes tasks via feature-pipeline]