Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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finance-based-pricing-advisor
Evaluate pricing changes using ARPU, conversion, churn risk, NRR, and payback. Use when deciding whether a pricing move should ship.
majiayu000/claude-skill-registry 163
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wip-version
{{ 𝚫𝚫𝚫 }} Check all version number props and update them
majiayu000/claude-skill-registry 163
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context-degradation
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.
majiayu000/claude-skill-registry 163
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exa-cost-tuning
Optimize Exa costs through tier selection, sampling, and usage monitoring.
Use when analyzing Exa billing, reducing API costs,
or implementing usage monitoring and budget alerts.
Trigger with phrases like "exa cost", "exa billing",
"reduce exa costs", "exa pricing", "exa expensive", "exa budget".
majiayu000/claude-skill-registry 163
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test-workflow
Run BitBot's iterative test workflow (implement → test → fix → commit → push). Use PROACTIVELY during development to ensure quality before committing.
majiayu000/claude-skill-registry 163
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lean-startup
Apply The Lean Startup practices (Eric Ries). Covers Vision (Ch 1-4: Start, Define, Learn, Experiment — validated learning, Build-Measure-Learn loop), Steer (Ch 5-8: Leap of faith assumptions, MVP testing, innovation accounting, pivot or persevere decisions), Accelerate (Ch 9-14: small batches, engines of growth — sticky/viral/paid, adaptive organization, Five Whys, innovation sandbox, startup within enterprise). Trigger on "lean startup", "MVP", "minimum viable product", "validated learning", "pivot", "Build-Measure-Learn", "innovation accounting", "product-market fit", "startup strategy", "lean methodology", "growth engine", "Five Whys".
majiayu000/claude-skill-registry 163
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spreadsheet-formula-helper
Write and debug spreadsheet formulas (Excel/Google Sheets), pivot tables, and array formulas; translate between dialects; use when users need working formulas with examples and edge-case checks.
majiayu000/claude-skill-registry 163
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verify-prompt
Validate distilled prompts preserve essential instructions
majiayu000/claude-skill-registry 163
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openai-api
Build with OpenAI APIs including GPT-4, GPT-4o, function calling, embeddings, vision, and Assistants. Covers chat completions, structured outputs, streaming, and token optimization. Use when integrating OpenAI models into applications.
majiayu000/claude-skill-registry 163
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project-scaffolding
Initialize new projects with proper structure, configuration, and setup from BaseProject template. Use when creating new projects, setting up directory structures, or initializing repositories.
majiayu000/claude-skill-registry 163
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cv-creator
Professional CV and resume builder transforming career narratives into ATS-optimized, multi-format resumes. Integrates with career-biographer for data and competitive-cartographer for positioning. Generates PDF, DOCX, LaTeX, JSON Resume, HTML, and Markdown. Activate on 'resume', 'CV', 'ATS optimization', 'job application'. NOT for cover letters, portfolio websites (use web-design-expert), LinkedIn optimization, or interview preparation.
majiayu000/claude-skill-registry 163
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tmux
Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.
majiayu000/claude-skill-registry 163
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testing-patterns
Testing patterns and principles. Unit, integration, mocking strategies.
majiayu000/claude-skill-registry 163
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nanomaterials-and-carbon
Carbon allotropes and nanoscale materials — graphite, diamond, fullerenes (C60 and family), carbon nanotubes, graphene, and the broader class of low-dimensional materials. Covers synthesis routes (arc discharge, laser ablation, CVD, exfoliation), structural characterization, exceptional mechanical and electronic properties, and the gap between laboratory demonstrations and structural-scale applications.
majiayu000/claude-skill-registry 163
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mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
majiayu000/claude-skill-registry 163
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asset-creator
Create visual assets (images, illustrations) using AI (OpenAI DALL-E).
majiayu000/claude-skill-registry 163
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api-performance-api-performance
Query optimization, caching, indexing
majiayu000/claude-skill-registry 163
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cloudflare-browser-rendering
Guide for implementing Cloudflare Browser Rendering - a headless browser automation API for screenshots, PDFs, web scraping, and testing. Use when automating browsers, taking screenshots, generating PDFs, scraping dynamic content, extracting structured data, or testing web applications. Supports REST API, Workers Bindings (Puppeteer/Playwright), MCP servers, and AI-powered automation. (project)
majiayu000/claude-skill-registry 163
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brainstorming
Use when starting any extended creative work — creating features, building components, adding functionality, or modifying behavior. MUST be used UNLESS the human says otherwise. Explores user intent, requirements and design before implementation.
majiayu000/claude-skill-registry 163
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commission-intelligence
Explain sales commission calculations, resolve discrepancies, and model compensation scenarios for quota planning
majiayu000/claude-skill-registry 163
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ai-product
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.
majiayu000/claude-skill-registry 163
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Practitioner Research Skill
Practitioner methodology for longitudinal case study research, evidence-based documentation, and publication-ready academic writing in AI-assisted development.
majiayu000/claude-skill-registry 163
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film-storyboard-skill
Use when creating storyboards from scripts, generating visual prompts for beat boards or sequence boards, or converting narrative beats into AI-generated images across platforms (Nano Banner, Midjourney, Gemini)
majiayu000/claude-skill-registry 163
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deep-research
Deep research before design — 3-5 parallel research agents survey papers, production systems, failure modes, and prior art, then a synthesizer compiles evidence, and an integrator maps findings to a concrete codebase plan with citations
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