AI Agent Skills

Comprehensive debugging methodology for finding and fixing bugs (formerly debugging). This skill should be used when debugging code, investigating errors, troubleshootin…

This repository is no longer maintained, please checkout https://github.com/JamesTGrant/kubectl-debug.

Debug and profile Three.js browser games: blank canvases, render and runtime bugs, asset and audio loading, animation, resize, mobile input, plus performance profiling o…

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you nee…

Debug Investigator — systematic, not vibes-based

Root cause analysis frameworks including log-first investigation, git bisect correlation, and pattern-based diagnosis with confidence scoring.

Use Playwright to interact with and test local web applications, capture screenshots, debug UI behavior, and inspect browser logs.

Kodezi Chronos is a debugging-first language model that achieves state-of-the-art results on SWE-bench Lite (80.33%) and 67% real-world fix accuracy, over six times bett…

Debug your GitHub Actions via SSH by using tmate to get access to the runner system itself.

Debug your Jest tests. Effortlessly.🛠🖼

A stack-agnostic Claude Code skill: strict code reviewer, pair programmer, debugger, and mentor (Python/Bash/Apps Script/JS). Security-first, phase-aware engineering dis…

Debug your apps, find hydration errors, trace your network and more in your react-router app with these devtools

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality A…

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Continuous Profiling Platform. Debug performance issues down to a single line of code

Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when correctness matters more than speed, when working in unfamiliar code…