Expert code review of current git changes with a senior engineer lens. Detects SOLID violations, security risks, and proposes actionable improvements.
npx skills add https://github.com/dtsola/xiaoyaosearch --skill code-review-expert
Perform a structured review of the current git changes with focus on SOLID, architecture, removal candidates, and security risks. Default to review-only output unless the user asks to implement changes.
| Level | Name | Description | Action |
|-------|------|-------------|--------|
| P0 | Critical | Security vulnerability, data loss risk, correctness bug | Must block merge |
| P1 | High | Logic error, significant SOLID violation, performance regression | Should fix before merge |
| P2 | Medium | Code smell, maintainability concern, minor SOLID violation | Fix in this PR or create follow-up |
| P3 | Low | Style, naming, minor suggestion | Optional improvement |
git status -sb, git diff --stat, and git diff to scope changes.rg or grep to find related modules, usages, and contracts.Edge cases:
git diff is empty, inform user and ask if they want to review staged changes or a specific commit range.references/solid-checklist.md for specific prompts.references/removal-plan.md for template.references/security-checklist.md for coverage.references/code-quality-checklist.md for coverage.Structure your review as follows:
## Code Review Summary
**Files reviewed**: X files, Y lines changed
**Overall assessment**: [APPROVE / REQUEST_CHANGES / COMMENT]
---
## Findings
### P0 - Critical
(none or list)
### P1 - High
1. **[file:line]** Brief title
- Description of issue
- Suggested fix
### P2 - Medium
2. (continue numbering across sections)
- ...
### P3 - Low
...
---
## Removal/Iteration Plan
(if applicable)
## Additional Suggestions
(optional improvements, not blocking)
Inline comments: Use this format for file-specific findings:
::code-comment{file="path/to/file.ts" line="42" severity="P1"}
Description of the issue and suggested fix.
::
Clean review: If no issues found, explicitly state:
After presenting findings, ask user how to proceed:
---
## Next Steps
I found X issues (P0: _, P1: _, P2: _, P3: _).
**How would you like to proceed?**
1. **Fix all** - I'll implement all suggested fixes
2. **Fix P0/P1 only** - Address critical and high priority issues
3. **Fix specific items** - Tell me which issues to fix
4. **No changes** - Review complete, no implementation needed
Please choose an option or provide specific instructions.
Important: Do NOT implement any changes until user explicitly confirms. This is a review-first workflow.
| File | Purpose |
|------|---------|
| solid-checklist.md | SOLID smell prompts and refactor heuristics |
| security-checklist.md | Web/app security and runtime risk checklist |
| code-quality-checklist.md | Error handling, performance, boundary conditions |
| removal-plan.md | Template for deletion candidates and follow-up plan |
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping
Comprehensive GitHub code review with AI-powered swarm coordination
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Use this skill to review code. It supports both local changes (staged or working tree) and remote Pull Requests (by ID or URL). It focuses on correctness, maintainability, and adherence to project standards.
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
Take dtsola/code-review-expert from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.