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mrgoonie AI Skills

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Browse published AI skills maintained by mrgoonie. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

34

Repository stars across indexed skills

56,906

Repository forks

11,884

Average repository stars per indexed skill

1,674

Repository stars may repeat across skills from the same repository.

34 skills

Browse skills

GitHub

systematic-debugging

mrgoonie

Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions.

GitHub

chrome-devtools

mrgoonie

Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automa...

GitHub

devops

mrgoonie

Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.

GitHub

inversion-exercise

mrgoonie

Flip core assumptions to reveal hidden constraints and alternative approaches - "what if the opposite were true?"

GitHub

context-engineering

mrgoonie

Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evalu...

GitHub

docs-seeker

mrgoonie

Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Doc...

GitHub

aesthetic

mrgoonie

Create aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual...

GitHub

problem-solving

mrgoonie

Creative problem-solving techniques for breaking through stuck points - includes collision-zone thinking, inversion, pattern recognition, and simplification

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.