Plan writing
Skill a5c-ai/babysitter/library/methodologies/rpikit/skills/plan-writing
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration
npx -y skills add a5c-ai/babysitter --skill plan-writingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
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Transform research findings into actionable implementation plans with stakes-based rigor, test-first strategy, and granular task decomposition.
SKILL.md
1.7 KB, as published. Nobody here has run it
- Before implementing any medium or high stakes changes
- When requirements are clear and codebase is understood
Process
- Load research - Find
*-<topic>-research.mdindocs/plans/ - Classify stakes - Low (isolated, reversible), Medium (multiple files), High (architectural)
- Define success criteria - Functional, non-functional, and acceptance criteria
- Decompose tasks - Granular steps with file paths, line references, verification methods
- Plan tests - Test specification as first sub-step per task (test-first)
- Assess risks - Breaking changes, performance, security, dependencies, rollback strategy
- Write plan document -
docs/plans/YYYY-MM-DD-<topic>-plan.md - 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