Explore AI Agent Skills & Claude Prompts
Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.
Enter through keywords, occupations, creators, and GitHub sources to see what kinds of skills are emerging across domains.
Use the same catalog through the API
Connect 381,784 public skills to your own search, analytics, or agent workflow with the REST API.
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brainstorm
by robertgussCollaborative brainstorming partner for multi-session ideation projects. Use when the user wants to brainstorm, ideate, explore ideas, or think through problems—whether for SaaS products, software tools, book ideas, newsletter content, business strategies, or any creative/analytical challenge. Handles session continuity across days/weeks via versioned markdown documents. Includes brainstorming methods catalog and supports both connected (cross-project awareness) and clean-slate modes.
dhh-writing
by robertgussThis skill should be used when writing in the distinctive style of David Heinemeier Hansson (DHH). It applies when creating blog posts, technical articles, business content, manifestos, or any prose requiring a clear, punchy, opinionated style.
handoff
by robertgussCreate a structured session handoff document for continuity across sessions. Use when ending a work session, switching contexts, or before a break. Captures decisions, progress, code changes, and next steps so a future session can pick up where you left off without losing context.
ebook-concept-development
by robertgussDevelop ebook ideas into structured concepts ready for architecture. Use when the user has an ebook idea (from a brainstorm document, existing content to repurpose, a book section to extract, or a fresh concept) and wants to develop it into a clear, validated concept. Produces an Ebook Concept Document with reader, transformation, promise, content source, scope/format, and key topics. Handles multi-session development with living documents.
ebook-discovery
by robertgussSurface ebook ideas you didn't know you had. Use when ready to discover what ebooks might be hiding in your content, expertise, or thinking. Supports both content-rich creators (blog posts, videos, newsletters) and those with unpublished expertise. Produces a curated list of ebook candidates ready for Concept Development. Handles multi-session discovery with living documents.
book-research-assistant
by robertgussPlan, orchestrate, and validate deep research for nonfiction books. Use when an author has completed book architecture and needs to fill research gaps before outlining chapters. Triggers include requests to plan research, generate research prompts, validate research quality, or prepare for drafting. This skill does everything around deep research—planning, prompting, validating, synthesizing—but the actual research execution happens externally via Claude and Gemini deep research. Requires upstream documents from book-architect (Research Gaps Document, Master Architecture Document, Section Blueprints) and book-ideation (Book Concept Document).
xcode-makefiles
by robertgussInstall strict Xcode Makefile tooling for iOS/macOS projects, including build/run/test scripts with AGENT_NAME-based per-agent isolation under build/. Use when a project needs reproducible local CLI builds without full app scaffolding.
app-store-listing-optimizer
by robertgussOptimize iOS App Store and Google Play Store listings for maximum discoverability and conversion. Perform competitive keyword research, craft keyword-optimized titles/subtitles/descriptions, design screenshot sequences, and generate A/B test variants. Use when the user has a built app and needs to write or improve their store listing, do ASO keyword research, optimize app metadata, plan screenshot strategy, or create listing variants for testing. Triggers on "optimize my app listing", "ASO", "app store optimization", "keyword research for my app", "improve my store listing", "screenshot strategy", "app store keywords", "play store listing".
app-growth-playbook
by robertgussGenerate platform-specific, actionable growth playbooks for mobile apps. Use when planning a Product Hunt launch, creating TikTok/Reels content strategies, setting up Apple Search Ads campaigns, preparing App Store featuring submissions, building referral loops, designing email/push re-engagement campaigns, writing Reddit launch posts, or creating content marketing plans for app growth. Provides templates, scripts, timing guides, and step-by-step processes — not generic advice.
paywall-pricing-optimizer
by robertgussDesign effective paywalls, structure subscription tiers, and optimize pricing for mobile apps. Covers monetization model selection, paywall screen design, pricing psychology, A/B testing strategy, and RevenueCat/StoreKit/Google Billing integration. Use when the user wants to monetize an app, design a paywall, choose between subscription vs one-time purchase, set pricing tiers, improve conversion rates, plan pricing experiments, or integrate in-app purchases. Triggers on "design my paywall", "how should I price my app", "subscription tiers", "monetization strategy", "paywall copy", "free trial length", "RevenueCat setup", "improve paywall conversion".
book-market-research
by robertgussAssess commercial viability of book concepts for Amazon KDP self-publishing. Use when the user has a Book Concept Document and wants to understand market demand, competition, pricing, and positioning before committing to write. Produces a Market Research Report with viability scorecard and Go/No-Go recommendation. Works standalone (commercial analysis only) or after idea-validator (integrated assessment). Nonfiction only.
Browse Agent Skills by Occupation
23 major groups · 867 SOC occupations
Browse by Category
Explore agent skills organized by their primary use case
Explore the agent skills ecosystem by occupation and creator
SkillMD is not just a keyword search box. It is an open map that organizes public skills by occupation, creator, and repository, helping you see which workflows, judgment criteria, and domain habits people are writing for AI agents.
Then follow creators and GitHub repositories back to the source: compare the skills a team maintains, whether the repo is active, and how the README frames the work before you open, install, or reuse anything.
Use it three ways: learn an unfamiliar field by occupation, study how creators organize skills, then use source context to decide what is worth opening or reusing.
01 Map a field
Browse 23 occupation groups and 867 SOC roles to learn what skills exist in adjacent domains and how they break down real work.
02 Follow creators
Use creator and repository pages to inspect maintained skill collections, recent updates, and source context before trusting a result.
03 Search with sources
Search 1.7M+ collected skills, then use occupation tags, creators, and GitHub source context to decide what is worth opening.
Start with the occupation map, then follow creators and repositories back to real code. SkillMD helps explain why a skill is worth opening, not only what it is named.
Standardizing Agent Capabilities with SKILL.md and Model Context Protocol (MCP)
In the rapidly evolving landscape of artificial intelligence, LLM agents (Large Language Model agents) have transitioned from simple text predictors to autonomous problem solvers. To orchestrate complex, multi-step agentic workflows, developers require a standardized format to specify agent capabilities, prompt instructions, system rules, and database bindings. This is where SKILL.md and the Model Context Protocol (MCP) have emerged as standard developer paradigms. SkillMD serves as the central directory for indexing, exploring, and sharing these critical agent configurations.
Our open-source registry currently tracks over 1.7 million collected SKILL.md configurations and system prompts. By compiling agent configurations from active developers on GitHub, we bridge the gap between prompt engineering research and production execution. Whether you are building agents with Anthropic's Claude Code, OpenAI's GPT-4, Google's Gemini, or local models using Ollama and LlamaIndex, standardized skill definitions ensure your agents behave predictably across different runtime environments.
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open-source standard designed to connect LLMs to data sources, developer tools, and external environments. MCP establishes a bidirectional communication channel between client applications (like Cursor, Claude Desktop, or custom agent systems) and servers hosting data or capabilities. Standardizing instructions via SKILL.md enables LLMs to query databases, read local files, execute terminal commands, and integrate third-party APIs. SkillMD allows you to find ready-to-run MCP servers and prompt instructions for various occupations and technical tasks.
The Structure of a Professional SKILL.md File
A valid SKILL.md configuration is designed to be easily read by humans and parsed by LLMs. It contains precise system instructions, trigger conditions, required parameters, and execution examples. Below is the typical architectural blueprint of a professional agent skill:
- Metadata & Core Scope: Declares the name of the skill, author details, target models, and a description of the capability.
- Triggers & Intent Detection: Details semantic triggers that help the agent decide when to invoke this skill.
- System Prompts: Explicit system-level instructions that direct the agent's behavior, personality, safety guardrails, and formatting preferences.
- Capabilities & Tools: Lists the files, databases, or APIs the agent must access to complete the tasks.
- Few-Shot Examples: Demonstrates real inputs and outputs, helping the model generalize behavior through in-context learning.
Optimizing Agent Workflows for Modern LLMs
Writing effective agent skills requires deep knowledge of prompt engineering. With the release of advanced reasoning models like Claude 3.5 Sonnet, ChatGPT o1, and DeepSeek-V3, prompt templates must focus on structured thinking. Developers are encouraged to use XML tags (e.g., <thought>, <context>, and <rules>) to isolate execution boundaries. Standardized prompts prevent agents from suffering from context drift, ensuring that long-running tasks remain aligned with the initial system parameters.
Exploring by SOC Occupations and Creator Profiles
What makes SkillMD unique is its taxonomy. Instead of simple text search, we parse and organize files according to the Standard Occupational Classification (SOC) system. This means you can discover skills written for Computer and Mathematical roles, Business and Financial operations, Legal, Design, and and Educational Instruction fields. By tracking creator profiles, developers can study how different teams organize their custom instructions, compare version updates, and fork public configs for specialized enterprise use cases.
SkillMD operates as a high-performance index running on a fast Go backend and a highly responsive Astro SSR frontend. All search queries execute in milliseconds, featuring smart debouncing to prevent multiple API requests while keeping user data secure. Join our community of developers to standardize your AI agent instructions and optimize your LLM prompting workflows today.
Frequently Asked Questions
A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.