plan-writing
Transform research findings into actionable implementation plans with stakes-based rigor, test-first strategy, and granular task decomposition.
npx skills add a5c-ai/babysitter --skill plan-writing --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
- Before implementing any medium or high stakes changes - When requirements are clear and codebase is understood ## Process 1. **Load research** - Find `*-<topic>-research.md` in `docs/plans/` 2. **Classify stakes** - Low (isolated, reversible), Medium (multiple files), High (architectural) 3. **Define success criteria** - Functional, non-functional, and acceptance criteria 4. **Decompose tasks** - Granular steps with file paths, line references, verification methods 5. **Plan tests** - Test specification as first sub-step per task (test-first) 6. **Assess risks** - Breaking changes, performance, security, dependencies, rollback strategy 7. **Write plan document** - `docs/plans/YYYY-MM-DD-<topic>-plan.md` 8. **Approval gate** - Human approves, requests changes, or returns to research ## Anti-Patterns to Avoid - Vague task descriptions without specific file references - Missing verification criteria for any step - Combining test writing and implementation into single steps - Planning rigor mismatched to stakes level - Proceeding without explicit user approval ## Tool Use Invoke via babysitter process: `methodologies/rpikit/rpikit-plan`
- Process
- Anti-Patterns to Avoid
- Tool Use
What does the plan-writing skill do?
Transform research findings into actionable implementation plans with stakes-based rigor, test-first strategy, and granular task decomposition.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill plan-writing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.