Automated code review across TypeScript, JavaScript, Python, Swift, Kotlin, and Go with quality analysis and security scanning.
Works with
Three core scripts: PR analyzer for automated scaffolding, code quality checker for deep analysis and performance metrics, and review report generator for structured output
Includes comprehensive reference documentation covering code review checklists, coding standards, and common antipatterns with real-world examples
Supports modern tech stacks including Re
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncode-reviewerExecute the skills CLI command in your project's root directory to begin installation:
Fetches code-reviewer from davila7/claude-code-templates 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-reviewer. Access via /code-reviewer 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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Complete toolkit for code reviewer with modern tools and best practices.
This skill provides three core capabilities through automated scripts:
# Script 1: Pr Analyzer
python scripts/pr_analyzer.py [options]
# Script 2: Code Quality Checker
python scripts/code_quality_checker.py [options]
# Script 3: Review Report Generator
python scripts/review_report_generator.py [options]
Automated tool for pr analyzer tasks.
Features:
Usage:
python scripts/pr_analyzer.py <project-path> [options]
Comprehensive analysis and optimization tool.
Features:
Usage:
python scripts/code_quality_checker.py <target-path> [--verbose]
Advanced tooling for specialized tasks.
Features:
Usage:
python scripts/review_report_generator.py [arguments] [options]
Comprehensive guide available in references/code_review_checklist.md:
Complete workflow documentation in references/coding_standards.md:
Technical reference guide in references/common_antipatterns.md:
Languages: TypeScript, JavaScript, Python, Go, Swift, Kotlin Frontend: React, Next.js, React Native, Flutter Backend: Node.js, Express, GraphQL, REST APIs Database: PostgreSQL, Prisma, NeonDB, Supabase DevOps: Docker, Kubernetes, Terraform, GitHub Actions, CircleCI Cloud: AWS, GCP, Azure
# Install dependencies
npm install
# or
pip install -r requirements.txt
# Configure environment
cp .env.example .env
# Use the analyzer script
python scripts/code_quality_checker.py .
# Review recommendations
# Apply fixes
Follow the patterns and practices documented in:
references/code_review_checklist.mdreferences/coding_standards.mdreferences/common_antipatterns.md# Development
npm run dev
npm run build
npm run test
npm run lint
# Analysis
python scripts/code_quality_checker.py .
python scripts/review_report_generator.py --analyze
# Deployment
docker build -t app:latest .
docker-compose up -d
kubectl apply -f k8s/
Check the comprehensive troubleshooting section in references/common_antipatterns.md.
references/code_review_checklist.mdreferences/coding_standards.mdreferences/common_antipatterns.mdscripts/ directoryMake 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.
davila7/claude-code-templates
asyrafhussin/agent-skills
shadcn/improve
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
code-reviewer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
code-reviewer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
code-reviewer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: code-reviewer is focused, and the summary matches what you get after install.
Registry listing for code-reviewer matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: code-reviewer is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for code-reviewer matched our evaluation — installs cleanly and behaves as described in the markdown.
We added code-reviewer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in code-reviewer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: code-reviewer is focused, and the summary matches what you get after install.
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