Agent skill

plan-writing

Transform research findings into actionable implementation plans with stakes-based rigor, test-first strategy, and granular task decomposition.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/plan-writing-a5c-ai-babysitter-2

SKILL.md

Plan Writing

Overview

Convert research findings into actionable implementation plans. Scales planning rigor to stakes level. Every code-changing task specifies tests before implementation.

When to Use

  • After research phase identifies what needs to change
  • 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

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