plan-implementation

Solid

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

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
76
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Plan Implementation ## Overview Execute approved plans with discipline. Each step follows a read-modify-verify loop. Phase checkpoints require human approval. Failures trigger investigation before proceeding. ## When to Use - After a plan has been approved via the planning phase - 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/rpik...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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