plan-implementation
Disciplined execution of approved plans with step-by-step verification, phase checkpoints, failure investigation, and mandatory code/security reviews.
Best use case
plan-implementation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Disciplined execution of approved plans with step-by-step verification, phase checkpoints, failure investigation, and mandatory code/security reviews.
Teams using plan-implementation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/plan-implementation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How plan-implementation Compares
| Feature / Agent | plan-implementation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Disciplined execution of approved plans with step-by-step verification, phase checkpoints, failure investigation, and mandatory code/security reviews.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# 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/rpikit/rpikit-implement`
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