Loading...
Loading...
Found 1,231 Skills
PostgreSQL-specific code review assistant focusing on PostgreSQL best practices, anti-patterns, and unique quality standards. Covers JSONB operations, array usage, custom types, schema design, function optimization, and PostgreSQL-exclusive security features like Row Level Security (RLS).
Reviews Phoenix code for controller patterns, context boundaries, routing, and plugs. Use when reviewing Phoenix apps, checking controllers, routers, or context modules.
Perform code reviews following best practices from Code Smells and The Pragmatic Programmer. Use when asked to "review this code", "check for code smells", "review my PR", "audit the codebase", or need quality feedback on code changes. Supports both full codebase audits and focused PR/diff reviews. Outputs structured markdown reports grouped by severity.
Code review practices with technical rigor and verification gates. Use for receiving feedback, requesting code-reviewer subagent reviews, or preventing false completion claims in pull requests.
Reviews Swift Testing code for proper use of
Code review a pull request
Reviews Elixir code for idiomatic patterns, OTP basics, and documentation. Use when reviewing .ex/.exs files, checking pattern matching, GenServer usage, or module documentation.
Guide for making code reviews. Use this when asked to make code reviews, or ask to use it before committing changes.
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, and insecure dependencies. AI assistant uses this skill wh... Use when assessing security or running audits. Trigger with phrases like 'security scan', 'audit', or 'vulnerability'.
Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configuration and usage mistakes.
Code review practices emphasizing technical rigor, evidence-based claims, and verification. Use when receiving code review feedback, completing tasks requiring review, or before making completion claims.
Start code reviews, PR checks, or bug analysis. Triggers: "review my code", "check this PR", "analyze for bugs", "code review". Do NOT use for: - Automating fixes (use `ask-python-refactor`). - Generating new features. Capabilities: - Static analysis: Correctness, Security, Performance, Style. - Feedback priority: Critical > Performance > Style.