By utarn
Run systematic code reviews for runtime bugs in JS/TS and Python, then automate GitHub/GitLab issue-driven development by filtering PRD/feat issues, implementing them in git worktrees, and submitting auto-merge PRs/MRs.
Systematic code review focusing on bugs that break at runtime (contract mismatches, logic/async errors, serialization, styling) and JS/TS static analysis via fallow.
Fetch, implement, and close GitHub/GitLab issues sequentially (one main issue starting with PRD:/feat: at a time). Handles parallel subtasks, dependency parsing, worktrees, and env propagation.
review-skill คือชุดทักษะ (Skills) สำหรับ AI Coding Agent เช่น Claude Code ที่ช่วยให้การพัฒนาซอฟต์แวร์มีประสิทธิภาพและลดข้อผิดพลาดได้อย่างเป็นระบบ

| ทักษะ | รายละเอียด |
|---|---|
| find-mismatch | ตรวจหาบั๊กแบบเป็นระบบ — ค้นหาข้อผิดพลาดข้าม boundary, ช่องโหว่ serialization, logic bug, async bug และ stub code |
| work-on-issues | ดึง issue จาก GitHub/GitLab เลือกทำงาน สร้าง branch และ PR โดยอัตโนมัติ |
A code review skill and issue workflow skill for AI coding agents.
npx skills@latest add utarn/review-skill
| Skill | Description |
|---|---|
| find-mismatch | Systematic bug detection — finds cross-boundary mismatches, serialization gaps, logic bugs, async bugs, and stub code |
| work-on-issues | Fetch issues from GitHub or GitLab, implement them, and close completed tickets |
/find-mismatch performs systematic bug detection across your entire codebase:
In your AI agent (Claude Code, etc.):
/find-mismatch
Then specify files or directories to review, or let it scan the whole project.
/work-on-issues fetches open issues from GitHub or GitLab, lets you pick which to work on, implements the work, and closes completed tickets.
In your AI agent:
/work-on-issues
It will:
gh or GitLab via glab) from your remotesThis repo is compatible with skills.sh.
review-skill/
├── .claude-plugin/
│ └── plugin.json
├── skills/
│ ├── find-mismatch/
│ │ └── SKILL.md # Systematic code review instructions
│ └── work-on-issues/
│ └── SKILL.md # Issue workflow instructions
└── README.md
MIT
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