Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 404 files from 1 741 authors, of which 61 763 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Generate descriptive commit messages by analyzing git diffs. Use when the user asks for help writing commit messages or reviewing staged changes.
Git workflow and pull request specialist. Use when creating PRs, managing branches, establishing git conventions, or improving code review processes.
Project-wide coding standards and conventions specialist. Use PROACTIVELY when writing code, making architectural decisions, or establishing project conventions. Covers coding style, commenting, error handling, validation, tech stack consistency, and project conventions across all languages and frameworks.
Enterprise-level Go architecture patterns including clean architecture, hexagonal architecture, DDD, and production-ready application structure.
Go performance optimization techniques including profiling with pprof, memory optimization, concurrency patterns, and escape analysis.
Comprehensive Go testing patterns including table-driven tests, mocking, integration testing, benchmarks, and test organization.
Jira Cloud integration for issue management and search. This skill should be used when working with Jira tickets, searching issues with JQL, creating or updating issues, adding comments, or transitioning issue status. Covers REST API v3 and Jira Query Language.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Machine learning development patterns, model training, evaluation, and deployment. Use when building ML pipelines, training models, feature engineering, model evaluation, or deploying ML systems to production.
Model Context Protocol (MCP) integration specialist. Use when creating MCP server configurations, implementing MCP integrations, or optimizing MCP performance. Specializes in MCP server architecture and integration patterns.
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
Meta-cognitive reasoning specialist for evidence-based analysis, hypothesis testing, and cognitive failure prevention. Use when conducting reviews, making assessments, debugging complex issues, or any task requiring rigorous analytical reasoning. Prevents premature conclusions, assumption-based errors, and pattern matching without verification.
n8n workflow automation patterns and API integration. This skill should be used when creating n8n workflows, using webhooks, managing workflows via REST API, or integrating n8n with MCP servers. Covers workflow JSON structure, node patterns, and automation best practices.
Development standards for the Nathan n8n-Jira agent automation system. Covers n8n workflows, Python patterns, and project conventions.
Network architecture, troubleshooting, and infrastructure patterns. Use when designing network topologies, debugging connectivity issues, configuring load balancers, DNS, or implementing network security.
Next.js architecture specialist. Use when designing Next.js applications, migrating to App Router, implementing Server Components, or optimizing Next.js performance. Covers App Router, Server Components, and best practices.
Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
Comprehensive performance specialist covering analysis, optimization, load testing, and framework-specific performance. Use when identifying bottlenecks, optimizing code, conducting load tests, analyzing Core Web Vitals, fixing memory leaks, or improving application performance across all layers (application, database, frontend). Includes React-specific optimization patterns.
Expert prompt optimization for LLMs and AI systems. Use when building AI features, improving agent performance, crafting system prompts, or optimizing LLM interactions. Masters prompt patterns and techniques.
Python scripting with uv and PEP 723 inline dependencies. Use when creating standalone Python scripts with automatic dependency management.
Security auditing and vulnerability assessment specialist. Use when conducting security reviews, analyzing code for vulnerabilities, performing OWASP assessments, or creating security audit reports.
Security architecture and implementation patterns. Use when designing security controls, implementing authentication/authorization, conducting threat modeling, or ensuring compliance with security frameworks.
SEO analysis and optimization specialist. Use when conducting technical SEO audits, optimizing meta tags, analyzing Core Web Vitals, or improving search engine rankings. Focuses on actionable recommendations.
Shell scripting best practices and patterns. Use when writing bash/zsh scripts, automating tasks, creating CLI tools, or debugging shell commands.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.
Spec-Driven Development (SDD) methodology based on GitHub's SpecKit. Use for structured AI-assisted development with constitutional governance, phased workflows, and multi-agent coordination. Implements 7-phase process from constitution to implementation.
Python/pytest TDD specialist for test-driven development workflows. Use when writing tests, auditing test quality, running pytest, or generating test reports. Integrates with uv and pyproject.toml configuration.
Technical spike and research investigation specialist. Use when exploring options for a technical decision, conducting timeboxed investigations, or evaluating technology choices.
Comprehensive testing specialization covering test strategy, automation, TDD methodology, test writing, and web app testing. Use when setting up test infrastructure, writing tests, implementing TDD workflows, analyzing coverage, integrating tests into CI/CD, or testing web applications with Playwright. Framework-agnostic approach with framework-specific guidance via reference files.
Standardized tool set definitions for Claude Code agents ensuring consistent tool access across similar agent types
URL validation and contextual analysis specialist. Use when validating links, analyzing URL context, extracting links from content, or ensuring link appropriateness. Combines technical validation with content analysis.
Scan conductor/ directory for project direction, workflows, and task planning when present
Web accessibility compliance specialist. Use when conducting WCAG compliance audits, testing screen reader compatibility, validating keyboard navigation, or ensuring inclusive design. Focuses on WCAG 2.1/2.2 standards.
Automates Tauri WebView debugging using official plugins (tauri-plugin-log + screenshots) with process verification, automated screenshots, console logs, and state analysis. Use when debugging Tauri apps, investigating WebView issues, analyzing runtime errors, or troubleshooting UI problems.
| Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or balancing AI assistance with foundational learning. NOT for curriculum without AI integration.
| Creates assessments with varied question types (MCQ, code-completion, debugging, projects) aligned to learning objectives with meaningful distractors based on common misconceptions. Activate when educators design quizzes, exams, or tests measuring understanding; need questions at appropriate cognitive levels (Bloom's taxonomy); want balanced cognitive distribution (60%+ non-recall); or require rubrics for open-ended questions. Generates MCQs with diagnostic distractors, code-writing prompts, debugging challenges, and project-based assessments targeting deep understanding.
| Plan, structure, and scaffold large educational books using cognitive load management, just-in-time specification, and pedagogical best practices. Use this skill when planning multi-part, multi-chapter educational works that require narrative continuity, progressive complexity, and hands-on exercises. This skill helps create cohesive learning journeys that balance foundational scaffolding with advanced independence. Activate when tasks involve structuring books, managing cognitive load across chapters, defining part-level narratives, or coordinating multi-phase content development workflows.
Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use when tasks require web browsing, form submission, web scraping, UI testing, or any browser interaction.
This skill should be used when content teaches patterns (skills, subagents, ADRs, PHRs, specifications) that have canonical sources elsewhere. Prevents format drift by ensuring content references and follows the authoritative format from canonical sources. Use before implementing lessons that teach platform patterns, or when reviewing content for format consistency.
Guide for creating production-grade ChatKit chatbots that integrate OpenAI Agents SDK with MCP tools and custom backends. Use when building AI-powered chatbots with specialized capabilities, real-time task execution, and user isolation for any application.
Generate pedagogically effective code examples that activate understanding, not just demonstrate syntax. Use when creating code examples for educational content, tutorials, or documentation.
| Validate code examples across the 4-Layer Teaching Method with intelligent strategy selection. Use when validating Python/Node/Rust code in book chapters. NOT for production deployment testing.
Design progressive concept scaffolding with cognitive load management. Use when breaking down complex concepts into learnable steps for educational content.
This skill should be used when evaluating the quality of book chapters, lessons, or educational content. It provides a systematic 6-category rubric with weighted scoring (Technical Accuracy 30%, Pedagogical Effectiveness 25%, Writing Quality 20%, Structure & Organization 15%, AI-First Teaching 10%, Constitution Compliance Pass/Fail) and multi-tier assessment (Excellent/Good/Needs Work/Insufficient). Use this during iterative drafting, after content completion, on-demand review requests, or before validation phases.
Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering. Fetches code examples, API references, and best practices for JavaScript, Python, Go, Rust, and other libraries. Use when users ask about library documentation, need code examples, want API usage patterns, are learning a new framework, need syntax reference, or troubleshooting with library-specific information. Triggers include questions like "Show me React hooks", "How do I use Prisma", "What's the Next.js routing syntax", or any request for library/framework documentation.
This skill should be used when deploying a Docusaurus site to GitHub Pages. It automates the configuration, building, and deployment process, handling GitHub Pages setup, environment configuration, and CI/CD automation. Includes local validation before GitHub Actions triggering.
| Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank, debug-this, build-from-scratch, extend-code, AI-collaborative) targeting learning objectives with appropriate difficulty progression. Creates exercise sets that apply cognitive science principles to maximize retention and skill development. Use when designing practice activities for Python concepts, creating homework assignments, generating problem sets, or evaluating exercise quality.
| Design production-grade Helm charts through architectural reasoning rather than pattern retrieval. Activate when designing new Helm charts for Kubernetes deployments, evaluating chart architecture, making decisions about component packaging, or reviewing charts for extensibility and maintainability. Guides decision-making about dependencies, lifecycle hooks, configuration surface, and multi-environment deployment through context-specific reasoning rather than generic best practices.
| Generate professional visuals using Gemini via browser automation with 6-gate quality control. Use when creating chapter illustrations, diagrams, or teaching visuals. NOT for stock photos or decorative images.
| Generate measurable learning outcomes aligned with Bloom's taxonomy and CEFR proficiency levels for educational content. Use this skill when educators need to define what students will achieve, create learning objectives for curriculum planning, or ensure objectives are specific and testable rather than vague. This skill helps break down complex topics into progressively building learning goals with clear assessment methods and success criteria.
| Next.js development tooling via MCP. Inspect routes, components, build info, and debug Next.js apps. Use when working on Next.js applications, debugging routing, or inspecting app structure. NOT for general React or non-Next.js projects.
| Generate pedagogically-aligned slide decks from educational content using NotebookLM. Use when creating chapter slide presentations with proficiency-calibrated prompts. NOT for static slides or non-educational presentations.
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| Design reusable prompt templates that encode domain-specific patterns for recurring AI tasks. Use when you've executed similar prompts 2+ times and need to capture the pattern as reusable intelligence. NOT for one-off prompts or generic "ask AI a question" patterns.
| Generate 50-question interactive quizzes using the Quiz component with randomized batching. Use when creating end-of-chapter assessments. Displays 15-20 questions per session with immediate feedback. NOT for static markdown quizzes.
This skill should be used after productive sessions to extract learnings and route them to appropriate Reusable Intelligence Infrastructure (RII) components. Use when corrections were made, format drift was fixed, new patterns emerged, or the user explicitly asks to "harvest learnings" or "capture session intelligence". Transforms one-time fixes into permanent organizational knowledge by implementing updates across multiple files.
Map skills to proficiency levels using CEFR, Bloom's taxonomy, and DigComp frameworks. Use when designing skill progressions or assessing learner proficiency.
This skill should be used when generating lesson summaries for educational content. It extracts key concepts, mental models, patterns, and common mistakes from lesson markdown files using a Socratic extraction process. Use this skill when a lesson file needs a `.summary.md` companion file, or when reviewing/refreshing existing summaries.
Claude Skills — questions
Answers built from the skills we actually parsed.