write-plan
MUST use after brainstorming and before executing. Creates detailed implementation plans with checkpoints, verification criteria, and execution options.
Best use case
write-plan is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
MUST use after brainstorming and before executing. Creates detailed implementation plans with checkpoints, verification criteria, and execution options.
Teams using write-plan 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/write-plan/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How write-plan Compares
| Feature / Agent | write-plan | 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?
MUST use after brainstorming and before executing. Creates detailed implementation plans with checkpoints, verification criteria, and execution options.
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.
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SKILL.md Source
# Write Plan ## Overview Transform validated designs into detailed, actionable implementation plans with checkpoints. Every plan includes: - Bite-sized tasks (2-5 minutes each) - Checkpoints with verification criteria - Estimated time for each section - Execution options at the end ## Plan Structure ```markdown # [Project Name] - Implementation Plan **Goal:** One sentence describing success **Approach:** Brief summary of the chosen approach **Estimated Total Time:** X minutes ## Checkpoint 1: [Milestone Name] - [ ] Task 1: [Description] (~X min) - **Action:** [Specific action] - **Verify:** [How to confirm done] - [ ] Task 2: [Description] (~X min) ... ## Checkpoint 2: [Milestone Name] ... ## Verification Criteria - [ ] All checkpoints complete - [ ] Quality standards met - [ ] User approval obtained ``` ## Task Granularity - **Small:** 2-5 minutes of work - **Specific:** Clear what "done" means - **Verifiable:** Can confirm completion - **Independent:** Doesn't block on other tasks in same checkpoint ## Execution Handoff After saving the plan, offer execution choice: **"Plan complete and saved to `memory/plans/<filename>.md`. Two execution options:** **1. Single-Agent (this session)** - I execute tasks sequentially, review at each checkpoint **2. Dispatch Multiple Agents (parallel)** - Spawn subagents for independent tasks **Which approach?"** **If Single-Agent chosen:** - Stay in this session - Execute tasks sequentially - Report progress at each checkpoint **If Dispatch Multiple Agents chosen:** - Use dispatch-multiple-agents skill - Spawn subagents for parallel work - Integrate results ## Integration with Other Skills - After **brainstorming** → Use write-plan - Before **doing-tasks** → Plan must exist - With **dispatch-multiple-agents** → For parallel execution
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