Skills matching the name, description or GitHub author.
Identify and avoid Retell AI anti-patterns and common integration mistakes. Use when reviewing Retell AI code for issues, onboarding new developers, or auditing existing Retell AI integrations for best practice...
Identify and avoid Replit anti-patterns and common integration mistakes. Use when reviewing Replit code for issues, onboarding new developers, or auditing existing Replit integrations for best practices violati...
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 creating or updating draft pull requests without code review - streamlines draft PR workflow with meaningful descriptions and commit messages, focusing on work-in-progress documentation
Use when reviewing pull requests with comprehensive code analysis, incremental or full review options, and constructive feedback - provides thorough code reviews with severity ratings
DART contribution workflow - branching, PRs, code review, dual-PR for bugfixes
DART contribution workflow - branching, PRs, code review, dual-PR for bugfixes
Deep code review and quality analysis for vm0 project
Apply systematic performance optimization techniques for Python and Rust code: estimation + profiling, API/bulk design, algorithmic wins, cache-friendly memory layout, fewer allocations, fast paths, caching, an...
Comprehensive code review with security, performance, and quality analysis. Use when users ask to review code, analyze code quality, evaluate pull requests, or mention code review, security analysis, or perform...
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 the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state...
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...
CRITICAL: Use for unsafe Rust code review and FFI. Triggers on: unsafe, raw pointer, FFI, extern, transmute, *mut, *const, union, #[repr(C)], libc, std::ffi, MaybeUninit, NonNull, SAFETY comment, soundness, und...
Comprehensive development workflow specialist combining DDD testing, debugging, performance optimization, code review, PR review, and quality assurance into unified development workflows
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
Address findings from a roborev code review by fetching the review and making necessary code changes
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.