Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
-
papi
This skill should be used when the user wants to interact with their paper database — listing papers, searching content, showing paper details, adding papers, or exporting context. Matches queries like "search papers for X", "add this arXiv paper", "show equations from paper Y", "what papers do I have". Prefer CLI over MCP RAG tools for direct lookups.
hummat/paperpipe 9
-
papi-verify
Verify code against paper. Use when user asks "does this match the paper", "check my implementation", or is implementing equations/algorithms from literature.
hummat/paperpipe 9
-
papi-ground
Ground responses in paper excerpts with citations. Use when user wants cited claims, quotes, or needs to avoid hallucination about paper content.
hummat/paperpipe 9
-
technical-analysis-educator
Domain expertise for teaching stock market technical analysis, indicators, and trading strategies
Ming-Kai-LC/self-learn
-
notebook-creator
Creates educational Jupyter notebooks with proper structure, progressive scaffolding, and pedagogical best practices
Ming-Kai-LC/self-learn
-
notebook-tester
Validates Jupyter notebook execution, outputs, and educational quality metrics
Ming-Kai-LC/self-learn
-
language-learning-educator
Domain expertise for teaching English language learning with audio, exercises, and progressive difficulty
Ming-Kai-LC/self-learn
-
pdf-processing
Comprehensive PDF processing techniques for handling large files that exceed Claude Code's reading limits, including chunking strategies, text/table extraction, and OCR for scanned documents. Use when working with PDFs larger than 10-15MB or more than 30-50 pages.
Ming-Kai-LC/self-learn
-
quality-checker
Code formatting, style enforcement, and quality standards for educational notebooks
Ming-Kai-LC/self-learn
-
skill-writer
Creates and validates Claude Code skills with proper format. Use when creating new skills, writing SKILL.md files, validating existing skills, or when user mentions "skill format", "create skill", "skill template", or "validate skill".
Ming-Kai-LC/self-learn
-
data-science-educator
Domain expertise for teaching pandas, visualization, machine learning, and data analysis workflows
Ming-Kai-LC/self-learn
-
my-skill-name
Clear description of what this skill does and when Claude should use it. Include trigger keywords users might mention.
Ming-Kai-LC/self-learn
-
api-docs-generator
Generates comprehensive API documentation for REST endpoints, GraphQL schemas, or RPC methods when user requests API documentation or endpoint documentation
Ming-Kai-LC/self-learn
-
security-fundamentals
Gaku52/claude-code-skills 5
-
authentication-and-authorization
Gaku52/claude-code-skills 5
-
ai-audio-generation
Gaku52/claude-code-skills 5
-
ai-era-development-workflow
Gaku52/claude-code-skills 5
-
ai-visual-generation
Gaku52/claude-code-skills 5
-
llm-and-ai-comparison
Gaku52/claude-code-skills 5
-
ai-analysis-guide
Gaku52/claude-code-skills 5
-
custom-ai-agents
Gaku52/claude-code-skills 5
-
ai-automation-and-monetization
Gaku52/claude-code-skills 5
-
ai-era-gadgets
Gaku52/claude-code-skills 5
-
computer-science-fundamentals
A comprehensive guide covering the fundamentals of computer science. From hardware internals and data representation to algorithms, data structures, computation theory, programming paradigms, and software engineering basics — a systematic guide to all the CS foundations every engineer needs.
Gaku52/claude-code-skills 5