Agent Skills: plan-implementation

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

UncategorizedID: a5c-ai/babysitter/plan-implementation

Install this agent skill to your local

pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/library/methodologies/rpikit/skills/plan-implementation

Skill Files

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library/methodologies/rpikit/skills/plan-implementation/SKILL.md

Skill Metadata

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