Comprehensive code reviews covering quality, security, performance, and best practices.
Works with
Systematic review process across five dimensions: code quality, security vulnerabilities, performance, testing, and maintainability
Includes initial assessment, detailed analysis guides, and constructive feedback frameworks
Covers pull request analysis, coding standards compliance, and developer mentoring through structured review
Best practices emphasize respectful feedback with explanations a
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncode-review-analysisExecute the skills CLI command in your project's root directory to begin installation:
Fetches code-review-analysis from aj-geddes/useful-ai-prompts and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate code-review-analysis. Access via /code-review-analysis in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Systematic code review process covering code quality, security, performance, maintainability, and best practices following industry standards.
Minimal working example:
# Check the changes
git diff main...feature-branch
# Review file changes
git diff --stat main...feature-branch
# Check commit history
git log main...feature-branch --oneline
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Initial Assessment | Initial Assessment |
| Code Quality Analysis | Code Quality Analysis |
| Security Review | Security Review |
| Performance Review | Performance Review |
| Testing Review | Testing Review |
| Best Practices | Best Practices |
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
asyrafhussin/agent-skills
shadcn/improve
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
code-review-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in code-review-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend code-review-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
code-review-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
code-review-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added code-review-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend code-review-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
code-review-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for code-review-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: code-review-analysis is focused, and the summary matches what you get after install.
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