The Skill Leaderboard
from open GitHub repositories.
An agentic skills framework for brainstorming designs, dispatching parallel agents, and standardizing AI-assisted development processes.
Engineering skills for domain modeling, codebase design, and automated code reviews against standards and specifications.
Behavioral guidance for writing, reviewing, and refactoring code with explicit assumptions, minimal scope, and verifiable success criteria.
A library of functional skills for AI agents, including tools for algorithmic art generation and Claude API integration.
Audits repositories for over-engineering and aggregates shortcut comments into a technical debt ledger.
Generates multi-platform banners and creative assets using specific art direction styles and platform dimensions.
Converts code, docs, and media into a persistent knowledge graph with community detection for architectural analysis and GraphRAG integration.
A token optimization toolkit that compresses LLM communication for coding agents to reduce token usage.
Provides AI agents with engineering skills for API design, interface stability, and context optimization to improve production-grade code quality.
A design-focused skill collection for premium frontend direction, visual generation, redesigns, brand systems, and motion-led implementation.
A knowledge graph tool for visualizing codebase structures, extracting domain flows, and analyzing code changes.
A library of 864 Claude skills covering automation, artifact creation, brand styling, changelog generation, ad extraction, and composio MCP integrations for over 100 services.
A frontend design skill for auditing UX, optimizing visual hierarchy, and implementing advanced UI effects and reusable design tokens.
Researches recent public sentiment and discussions from the last 30 days across major social media, technical forums, and prediction markets.
A writing tool that removes AI-specific structural patterns, stock phrasing, and filler to make generated text read more naturally.
Shapes AI output for ADHD users by leading with concrete actions, suppressing tangents, and providing structured state tracking.
Provides methodologies for designing A/B tests, managing experiment backlogs, and implementing growth experimentation programs.
A suite of agents for academic writing, citation checking, and multi-perspective peer review simulation.
A suite of skills for AI agents to manage Obsidian vaults, edit JSON Canvas files, and debug plugin development.
Provides API and SDK integration for designing, submitting, and retrieving results from protein binding and thermostability assays using the Adaptyv Bio Foundry.
A comprehensive collection of standardized agentic skills for AI automation, ranging from solution architecture and 3D web development to security auditing.
Generates branded architecture, data flow, and process diagrams including UML, ER models, and user journey maps.
Guidance on implementing polished mobile animations and gestures in Expo using Reanimated, Gesture Handler, and haptics.
A prompt library for mapping codebases, designing agentic workflows, and performing maintainability-focused code reviews.
Security workflows for AI agent prompt injection, APK hooking, and Active Directory certificate abuse within sandbox environments.
A library of 818 structured cybersecurity skills for AI agents, covering red-teaming tasks such as DPAPI decryption and Active Directory privilege escalation.
A converter that extracts frameworks and principles from documents to create structured skills for AI coding assistants.
A set of skills for implementing React composition patterns, optimizing React Native applications, and executing Vercel deployments.
A design skill for extracting visual DNA from URLs or screenshots and applying intentional UI patterns to AI-generated pages.
A set of curated skills for developing ASP.NET Core applications and ChatGPT Apps SDK integrations using official guidance.
Implements persistent state management for AI agents using local markdown files to track task plans, findings, and session progress.
A library of over 800 AI skill definitions covering agent orchestration, accessibility auditing, marketing optimization, and engineering workflows.
A code review methodology that identifies actionable defects by verifying implementation against boundary agreements and forcing violating executions.
Automates versioning, changelog generation, and GitHub Releases for multiple languages alongside translation utilities.
A comprehensive suite of 74 skills for game development, featuring studio-hierarchy coordination, technical decision tracking, and project auditing.
Creates reusable Person Profiles from source material about colleagues, relationships, or celebrities.
Conducts security audits and vulnerability research across codebases, APIs, services, and CLI tools.
A collection of AI agent skills for gcloud CLI integration, Google Cloud authentication, and cloud resource management.
A collection of agent skills focused on context engineering, harness design, and multi-agent architecture for production systems.
Automates SEO technical audits and backlink analysis using Ahrefs, DataForSEO, and Bing Webmaster Tools integrations.
A research automation toolkit for searching arXiv, summarizing academic papers, analyzing ML experiment results, and planning ablation studies.
A library of automation skills for the Codex CLI and API, including utilities for IDE deep linking and brand guideline application.
A system for AI-driven CAD generation featuring Design-for-Manufacturing reviews and direct integration with Bambu Lab 3D printers.
Eight skills covering GSAP core, timelines, ScrollTrigger, performance, framework integration, plugins, and utility methods for web animation development.
Automates source-grounded research and the filing of cited dossiers into an Obsidian Markdown knowledge graph.
Generates and optimizes tool-specific prompts for LLMs, coding agents, and generative AI tools.
A library of AI skills covering PR reviews and PowerPoint orchestration, including color palette selection and slide design recipes.
A library of agent skill files covering the AI research lifecycle: autonomous experimentation, model architecture, fine-tuning, mechanistic interpretability, distributed training, safety, optimization, evaluation, inference serving, and MLOps.
Supports academic research workflows including systematic literature reviews, meta-analysis, manuscript drafting, and peer review preparation.
A set of AI skills for full-stack development, including Angular 17+ architecture, .NET Core expertise, and system design documentation.
What are skills?
How do I open a .skill file?
Why use skills instead of relying on the base AI?
Is it safe to install skills?
What does a skill include?
When does an agent use a skill?
Do skills only work for coding?
Which platforms support skills?
What's the deal with frontmatter?
--- markers. It holds the metadata the agent reads before anything else: name, description, sometimes version, license, allowed tools. Get it wrong and the agent won't trigger the skill when it should. The spec lists every field.What are the rules for the skill name?
name field is lowercase, uses hyphens (no spaces, no underscores), sticks to letters, digits, and hyphens, and caps out at 64 characters per the Agent Skills spec. Treat it like a URL slug: "pdf-form-filler" works, "My Cool Skill!" does not. The name has to match the folder name exactly.What should the description include?
Can a skill bundle contain multiple SKILL.md files?
office/ (one sub-skill each for docx, pptx, xlsx, and pdf) or accounting workflows where every procedure has its own quirks.