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plan-implementation

Carry out an approved implementation plan one step at a time, verifying each change and pausing at phase checkpoints. It investigates failures, tracks progress in the plan, and requires code and security reviews before completion.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Disciplined execution of approved plans with step-by-step verification, phase checkpoints, failure investigation, and mandatory code/security reviews.

a5c-ai/babysitter星标 1,872(GitHub 1,872 + cccskills 0)

实测评分 未实测

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适用场景

  • Implementing a change from an approved plan
  • Verifying each implementation step
  • Reviewing progress at phase checkpoints
  • Investigating failures or proposed deviations

包含的文件（2）

  • SKILL.md1.7 KB
  • README.md658 B

SKILL.md（原文）

安装前可以查看交给 AI 代理的指令内容。

  • For medium and high stakes changes (low stakes can proceed inline)
  • When structured execution with verification is needed

Process

  1. Load plan - Validate plan exists and is approved
  2. Stakes enforcement - High: halt without plan. Medium: ask. Low: proceed.
  3. Worktree isolation - Offer git worktree based on stakes level
  4. Execute steps - For each: mark in-progress, locate files, read, modify, verify, mark complete
  5. Phase checkpoints - Summarize and ask: continue, review, or pause
  6. Failure handling - Stop immediately, investigate, propose fix, get approval for deviations
  7. Code review - Run code-reviewer agent (APPROVE / APPROVE_WITH_NITS / REQUEST_CHANGES)
  8. Security review - Run security-reviewer agent (halt if failed)
  9. Completion summary - Steps completed, files changed, test status, plan location

Key Rules

  • Follow the plan strictly; deviations require explicit approval
  • Verify before declaring done; run verification after each step
  • Track progress visibly via plan document updates
  • Read files before modifying them
  • Complete code and security reviews before finishing

Tool Use

Invoke via babysitter process: methodologies/rpikit/rpikit-implement

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