fix-plan — community fix-plan, turtle-shell, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Ideal for Code Review Agents requiring automated fix planning and Markdown report generation. A simple shell written in Rust

shu-kitamura shu-kitamura
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The fix-plan skill by shu-kitamura is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Ideal for Code Review Agents requiring automated fix planning and Markdown report generation.

Core Value

Empowers agents to extract findings from REVIEW.md files, prioritize fixes by severity and dependency, and generate actionable FIX-PLAN.md reports using Rust-written shell scripts, supporting Must, Should, and May severity levels.

↓ Capabilities Granted for fix-plan

Automating code review fix planning
Generating prioritized fix reports
Streamlining code maintenance workflows

! Prerequisites & Limits

  • Requires REVIEW.md file presence
  • Rust shell script compatibility needed
  • Overwrites FIX-PLAN.md unless append mode specified
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

fix-plan

Install fix-plan, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

Fix Plan

Workflow

  1. Read .skill-output/REVIEW.md. If missing or empty, ask the user for the review results or request that code review be run first.
  2. Extract each finding and keep its severity (Must/Should/May), location, and suggested fix.
  3. Convert findings into an actionable plan ordered by severity and dependency (Must -> Should -> May).
  4. Write the plan to .skill-output/FIX-PLAN.md (or the path specified by the user). Overwrite the file unless the user asks to append.

Output Format

Use Japanese headings and concise bullets. Keep steps actionable and include target files.

markdown
1# 修正計画
2
3## 目的
4- ...
5
6## 優先順位と対応方針
7- Must を最優先で修正し、次に Should、最後に May を対応する
8- ...
9
10## 作業ステップ
111. ...
12   - 対象: `path/to/file`
13   - 対応: ...
142. ...
15
16## 完了条件
17- ...

Notes

  • If tests are mentioned in the review, add a step for test additions and specify where.
  • Keep the plan aligned with the review wording; do not invent new issues.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is fix-plan?

Ideal for Code Review Agents requiring automated fix planning and Markdown report generation. A simple shell written in Rust

How do I install fix-plan?

Run the command: npx killer-skills add shu-kitamura/turtle-shell. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for fix-plan?

Key use cases include: Automating code review fix planning, Generating prioritized fix reports, Streamlining code maintenance workflows.

Which IDEs are compatible with fix-plan?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for fix-plan?

Requires REVIEW.md file presence. Rust shell script compatibility needed. Overwrites FIX-PLAN.md unless append mode specified.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add shu-kitamura/turtle-shell. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use fix-plan immediately in the current project.

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