code-reviewer▌
charon-fan/agent-playbook · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
A comprehensive code review skill that analyzes pull requests and code changes for quality, security, maintainability, and best practices.
Code Reviewer
A comprehensive code review skill that analyzes pull requests and code changes for quality, security, maintainability, and best practices.
When This Skill Activates
This skill activates when you:
- Ask for a code review
- Request a PR review
- Mention reviewing changes
- Say "review this" or "check this code"
Review Process
Phase 1: Context Gathering
-
Get changed files
git diff main...HEAD --name-only git log main...HEAD --oneline -
Get the diff
git diff main...HEAD -
Understand project context
- Read relevant documentation
- Check existing patterns in similar files
- Identify project-specific conventions
Phase 2: Analysis Categories
1. Correctness
- Logic is sound and matches requirements
- Edge cases are handled
- Error handling is appropriate
- No obvious bugs or typos
2. Security
- No hardcoded secrets or credentials
- Input validation and sanitization
- SQL injection prevention
- XSS prevention (for frontend)
- Authentication/authorization checks
- Safe handling of user data
3. Performance
- No N+1 queries
- Appropriate caching
- Efficient algorithms
- No unnecessary computations
- Memory efficiency
4. Code Quality
- Follows DRY principle
- Follows KISS principle
- Appropriate abstractions
- Clear naming conventions
- Proper typing (if TypeScript)
- No commented-out code
5. Testing
- Tests cover new functionality
- Tests cover edge cases
- Test assertions are meaningful
- No brittle tests
6. Documentation
- Complex logic is explained
- Public APIs have documentation
- JSDoc/TSDoc for functions
- README updated if needed
7. Maintainability
- Code is readable
- Consistent style
- Modular design
- Separation of concerns
Phase 3: Output Format
Use this structured format for review feedback:
# Code Review
## Summary
Brief overview of the changes (2-3 sentences).
## Issues by Severity
### Critical
Must fix before merge.
- [ ] **Issue Title**: Description with file:line reference
### High
Should fix before merge unless there's a good reason.
- [ ] **Issue Title**: Description with file:line reference
### Medium
Consider fixing, can be done in follow-up.
- [ ] **Issue Title**: Description with file:line reference
### Low
Nice to have improvements.
- [ ] **Issue Title**: Description with file:line reference
## Positive Highlights
What was done well in this PR.
## Suggestions
Optional improvements that don't require immediate action.
## Approval Status
- [ ] Approved
- [ ] Approved with suggestions
- [ ] Request changes
Common Issues to Check
Security Issues
| Issue | Pattern | Recommendation |
|---|---|---|
| Hardcoded secrets | const API_KEY = "sk-" |
Use environment variables |
| SQL injection | \"SELECT * FROM...\" + user_input |
Use parameterized queries |
| XSS vulnerability | innerHTML = user_input |
Sanitize or use textContent |
| Missing auth check | New endpoint without @RequireAuth |
Add authentication middleware |
Performance Issues
| Issue | Pattern | Recommendation |
|---|---|---|
| N+1 query | Loop with database call | Use eager loading or batch queries |
| Unnecessary re-render | Missing dependencies in useEffect |
Fix dependency array |
| Memory leak | Event listener not removed | Add cleanup in useEffect return |
| Inefficient loop | Nested loops O(n²) | Consider hash map or different algorithm |
Code Quality Issues
| Issue | Pattern | Recommendation |
|---|---|---|
| Duplicate code | Similar blocks repeated | Extract to function |
| Magic number | if (status === 5) |
Use named constant |
| Long function | Function >50 lines | Split into smaller functions |
| Complex condition | `a && b |
Testing Issues
| Issue | Pattern | Recommendation |
|---|---|---|
| No tests | New feature without test file | Add unit tests |
| Untested edge case | Test only covers happy path | Add edge case tests |
| Brittle test | Test relies on implementation details | Test behavior, not implementation |
| Missing assertion | Test doesn't assert anything | Add proper assertions |
Language-Specific Guidelines
TypeScript
- Use
unknowninstead ofanyfor untyped values - Prefer
interfacefor public APIs,typefor unions - Use strict mode settings
- Avoid
asassertions when possible
React
- Follow Hooks rules
- Use
useCallback/useMemoappropriately (not prematurely) - Prefer function components
- Use proper key props in lists
- Avoid prop drilling with Context
Python
- Follow PEP 8 style guide
- Use type hints
- Use f-strings for formatting
- Prefer list comprehensions over map/filter
- Use context managers for resources
Go
- Handle errors explicitly
- Use named returns for clarity
- Keep goroutines simple
- Use channels for communication
- Avoid package-level state
Before Approving
Confirm the following:
- All critical issues are addressed
- Tests pass locally
- No merge conflicts
- Commit messages are clear
- Documentation is updated
- Breaking changes are documented
Scripts
Run the review checklist script:
python scripts/review_checklist.py <pr-number>
References
references/checklist.md- Complete review checklistreferences/security.md- Security review guidelinesreferences/patterns.md- Common patterns and anti-patterns
How to use code-reviewer on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add code-reviewer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches code-reviewer from GitHub repository charon-fan/agent-playbook and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate code-reviewer. Access the skill through slash commands (e.g., /code-reviewer) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★67 reviews- ★★★★★Kiara Torres· Dec 28, 2024
We added code-reviewer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Amina Kapoor· Dec 12, 2024
Solid pick for teams standardizing on skills: code-reviewer is focused, and the summary matches what you get after install.
- ★★★★★Ira Choi· Dec 8, 2024
Registry listing for code-reviewer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Aisha Brown· Dec 8, 2024
code-reviewer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ganesh Mohane· Dec 4, 2024
code-reviewer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Meera Jain· Dec 4, 2024
code-reviewer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Maya Abbas· Dec 4, 2024
Useful defaults in code-reviewer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Tariq Abbas· Nov 27, 2024
code-reviewer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sakshi Patil· Nov 23, 2024
Solid pick for teams standardizing on skills: code-reviewer is focused, and the summary matches what you get after install.
- ★★★★★Benjamin Jain· Nov 23, 2024
code-reviewer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
showing 1-10 of 67