Skills matching the name, description or GitHub author.
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin. it analyzes code for potential vulnerabilities like sql injection, xss, authentication flaws, a...
This skill enables Claude to conduct a security-focused code review using the security-agent plugin. It analyzes code for potential vulnerabilities like SQL injection, XSS, authentication flaws, and insecure de...
This skill enables Claude to automatically scan source code for potential input validation vulnerabilities. It identifies areas where user-supplied data is not properly sanitized or validated before being used...
Identify and avoid FireCrawl anti-patterns and common integration mistakes. Use when reviewing FireCrawl code for issues, onboarding new developers, or auditing existing FireCrawl integrations for best practice...
Multi-dimensional code review with structured reports. Analyzes correctness, readability, performance, security, testing, and architecture. Triggers on "review code", "code review", "审查代码", "代码审查".
Use when reviewing pull requests with comprehensive code analysis, incremental or full review options, and constructive feedback - provides thorough code reviews with severity ratings
Comprehensive code review for diffs. Analyzes changed code for security vulnerabilities, anti-patterns, and quality issues. Auto-detects domain (frontend/backend) from file paths.
Automated code review for pull requests using specialized review patterns. Analyzes code for quality, security, performance, and best practices. Use when reviewing code changes, PRs, or doing code audits.
Use when reviewing code for anti-patterns. Keywords: anti-pattern, common mistake, pitfall, code smell, bad practice, code review, is this an anti-pattern, better way to do this, common mistake to avoid, why is...
Use when asking about Rust code style or best practices. Keywords: naming, formatting, comment, clippy, rustfmt, lint, code style, best practice, P.NAM, G.FMT, code review, naming convention, variable naming, f...
Add a response or note to a roborev code review to document how findings were addressed
Add a response or note to a roborev code review to document how findings were addressed
Performs comprehensive code reviews for Bitwarden iOS projects, verifying architecture compliance, style guidelines, compilation safety, test coverage, and security requirements. Use when reviewing pull request...
John Carmack-level implementation review via rp-cli for current branch changes. Use when reviewing code changes, PRs, or implementations. Triggers on mentions of code review, implementation review, or PR review...
Mandatory code reviews via /code-review before commits and deploys
Perform thorough code reviews with actionable feedback. Use when the user says "review", "/review", "code review", asks for feedback on code, wants a PR reviewed, or needs a second pair of eyes on their changes...
Skill for verifying overall codebase quality and gap analysis. Covers architecture consistency, convention compliance, design-implementation gaps, and potential issue detection. Includes analysis patterns and r...
Automated code review using ReadLints and Shell for technical validation
Audit and improve Jetpack Compose runtime performance from code review and architecture. Use when asked to diagnose slow rendering, janky scrolling, excessive recompositions, or performance issues in Compose UI...
Standards for performing high-quality, readable code reviews.
Standards for performing high-quality, readable code reviews.
Standards for performing high-quality, readable code reviews.
Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and co...
You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.