create-plan
Create a concise plan. Use when a user explicitly asks for a plan related to a coding task.
Best use case
create-plan is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Create a concise plan. Use when a user explicitly asks for a plan related to a coding task.
Teams using create-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/create-plan/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How create-plan Compares
| Feature / Agent | create-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?
Create a concise plan. Use when a user explicitly asks for a plan related to a coding task.
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.
Related Guides
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
ChatGPT vs Claude for Agent Skills
Compare ChatGPT and Claude for AI agent skills across coding, writing, research, and reusable workflow execution.
SKILL.md Source
# Create Plan
## Goal
Turn a user prompt into a **single, actionable plan** delivered in the final assistant message.
## Minimal workflow
Throughout the entire workflow, operate in read-only mode. Do not write or update files.
1. **Scan context quickly**
- Read `README.md` and any obvious docs (`docs/`, `CONTRIBUTING.md`, `ARCHITECTURE.md`).
- Skim relevant files (the ones most likely touched).
- Identify constraints (language, frameworks, CI/test commands, deployment shape).
2. **Ask follow-ups only if blocking**
- Ask **at most 1–2 questions**.
- Only ask if you cannot responsibly plan without the answer; prefer multiple-choice.
- If unsure but not blocked, make a reasonable assumption and proceed.
3. **Create a plan using the template below**
- Start with **1 short paragraph** describing the intent and approach.
- Clearly call out what is **in scope** and what is **not in scope** in short.
- Then provide a **small checklist** of action items (default 6–10 items).
- Each checklist item should be a concrete action and, when helpful, mention files/commands.
- **Make items atomic and ordered**: discovery → changes → tests → rollout.
- **Verb-first**: "Add…", "Refactor…", "Verify…", "Ship…".
- Include at least one item for **tests/validation** and one for **edge cases/risk** when applicable.
- If there are unknowns, include a tiny **Open questions** section (max 3).
4. **Do not preface the plan with meta explanations; output only the plan as per template**
## Plan template (follow exactly)
```markdown
# Plan
<1–3 sentences: what we're doing, why, and the high-level approach.>
## Scope
- In:
- Out:
## Action items
[ ] <Step 1>
[ ] <Step 2>
[ ] <Step 3>
[ ] <Step 4>
[ ] <Step 5>
[ ] <Step 6>
## Open questions
- <Question 1>
- <Question 2>
- <Question 3>
```
## Checklist item guidance
Good checklist items:
- Point to likely files/modules: src/..., app/..., services/...
- Name concrete validation: "Run npm test", "Add unit tests for X"
- Include safe rollout when relevant: feature flag, migration plan, rollback note
Avoid:
- Vague steps ("handle backend", "do auth")
- Too many micro-steps
- Writing code snippets (keep the plan implementation-agnostic)Related Skills
create-pr
Create pull requests following Sentry conventions. Use when opening PRs, writing PR descriptions, or preparing changes for review. Follows Sentry's code review guidelines.
treatment-plans
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
planning-with-files
Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.
plan-writing
Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.
concise-planning
Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.
writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code
executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints
qa-test-planner
Generate comprehensive test plans, manual test cases, regression test suites, and bug reports for QA engineers. Includes Figma MCP integration for design validation.
planning
Create and manage persistent markdown planning files for structured task execution. Use when the user asks to "create a plan", "track progress", "start a research project", or when a task requires more than 5 tool calls and needs structured phase tracking to stay focused and avoid goal drift.
async-python-patterns
Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
slack-automation
Automate Slack workspace operations including messaging, search, channel management, and reaction workflows through Composio's Slack toolkit.
linear-automation
Automate Linear tasks via Rube MCP (Composio): issues, projects, cycles, teams, labels. Always search tools first for current schemas.