Explains code snippets in plain English, breaking down what the code does step by step. Perfect for learning, code reviews, or documentation.

Diagnose, fix, and optimize GitHub Actions workflows for Rust projects. Use when setting up CI/CD, troubleshooting workflow failures, optimizing build times, or ensuring best practices.

Design and coordinate multi-agent systems where specialized agents work together to solve complex problems. Covers agent communication, task delegation, workflow orchestration, and result...

Execute workflow agents iteratively for refinement and progressive improvement until quality criteria are met. Use when tasks require repetitive refinement, multi-iteration improvements,...

Analyzes errors, searches past solutions in memory, provides immediate fixes with code examples, and saves solutions for future reference. Use when user says "debug this", "fix this error", "why...

Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies,...

Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies,...

Working with GitHub Pull Requests using the gh CLI. Use for fetching PR details, review comments, CI status, and understanding the difference between PR-level comments vs inline code review comments.

Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling interrupts, or creating multi-agent...

Implement code from a GitHub issue specification. Explores codebase, researches docs, creates temporary implementation plan, then implements incrementally (small piece → test → commit → next)....

Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML,...

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Jeffrey Emanuel's comprehensive markdown planning methodology for software projects. The 85%+ time-on-planning approach that makes agentic coding work at scale. Includes exact prompts used.

Root cause analysis for debugging. Use when bugs, test failures, or unexpected behavior have non-obvious causes, or after multiple fix attempts have failed.

Host interactive expert panel discussions on any topic. Dynamically generates master-level expert personas, facilitates structured debate using Hegelian dialectic patterns, and synthesizes...

Expert in creating custom slash commands for Claude Code. Slash commands encode repeatable workflows as markdown files, turning complex multi-step processes into simple one-line invocations....

Teaches agents how to effectively use the delegateToAgent tool for orchestrating multi-agent work. Covers dependency graph analysis, parallel vs serial execution patterns, and progress tracking....

Create GitHub pull requests using gh CLI with automatic stacked PR detection. Use when the user asks to create a PR, open a pull request, make a PR, or mentions creating/opening a pull request on GitHub.

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Transform any documentation website into AI-ready skill files. High-performance CLI tool built in Rust for crawling docs and generating structured SKILL.md files optimized for LLM agents.