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.
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
Configure popular MCP servers for enhanced agent capabilities
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
Analyzes and optimizes application performance across frontend, backend, and database layers. Use when diagnosing slowness, improving load times, optimizing queries, reducing bundle size, or when...
Pytest test development for Python microservices. Use when writing unit tests, integration tests, fixtures, mocking external services, or setting up test infrastructure. Triggers on requests to...
Patterns for parallel subagent execution using Task tool with run_in_background. Use when coordinating multiple independent tasks, spawning dynamic subagents, or implementing features that can be...
Extract a learned skill from the current conversation
Systematic hook debugging workflow. Use when hooks aren't firing, producing wrong output, or behaving unexpectedly.
Build AI agents with Claude Agent SDK in TypeScript. Covers V1 query() API for batch workflows and V2 session API for interactive apps. Includes tool configuration, hooks, MCP servers, and...
Wield Google's Gemini CLI as a powerful auxiliary tool for code generation, review, analysis, and web research. Use when tasks benefit from a second AI perspective, current web information via...
Guide for building agents with the Claude Agent SDK (TypeScript/Node.js). Use when creating SDK-based agents, custom tools, in-code subagents, or production agent applications. Provides templates,...
Parallel autopilot with file ownership partitioning
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Rust coding best practices based on Microsoft Pragmatic Rust Guidelines. ALWAYS invoke before writing or modifying Rust code. Covers error handling, API design, performance, and idiomatic patterns.
Analyze Claude Code session logs - extract thinking blocks, tool usage stats, error patterns, debug trajectories. Triggers on: introspect, session logs, trajectory, analyze sessions, what went...
Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration
Schema awareness - read before coding, type generation, prevent column errors
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.