# Plan Writing > Transform research findings into actionable implementation plans with stakes-based rigor, test-first strategy, and granular task decomposition. - Skill: `majiayu000/plan-writing-2` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds add majiayu000/plan-writing-2` - Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/plan-writing-2/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Research & Search - Author: majiayu000 (https://skillmd.com/u/majiayu000) - Updated: 2026-09-09 - Page: https://skillmd.com/skills/majiayu000/plan-writing-2 --- # 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 `*--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--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`