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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memories-cli
by webrenewCLI reference and workflows for memories.sh — the persistent memory layer for AI agents. Use when: (1) Running memories CLI commands to add, search, edit, or manage memories, (2) Managing lifecycle workflows (session/checkpoint/compaction/consolidation/OpenClaw memory files), (3) Setting up memories.sh in a new project (memories init), (4) Generating AI tool config files (CLAUDE.md, .cursor/rules, etc.), (5) Importing existing rules from AI tools (memories ingest), (6) Managing cloud sync, embeddings, git hooks, or reminders, (7) Troubleshooting with memories doctor, (8) Working with memory templates, links, history, tags, or reminder schedules.
memories-dev
by webrenewDeveloper guide for contributing to and extending the memories.sh codebase. Use when: (1) Understanding the memories.sh architecture and lifecycle model, (2) Adding new CLI commands or MCP tools, (3) Modifying the memory storage layer (SQLite/libSQL), (4) Working on the web dashboard (Next.js/Supabase), (5) Adding new generation targets for AI tools, (6) Extending cloud sync, session compaction, or embeddings functionality, (7) Debugging build, test, or deployment issues in the monorepo.
openclaw
by webrenewOpenClaw integration workflows for memories.sh. Use when: (1) Setting up OpenClaw with memories.sh (`openclaw onboard`, `memories init`), (2) Syncing OpenClaw workspace contracts (`~/.openclaw/workspace/AGENTS.md`, `SOUL.md`, `TOOLS.md`, `IDENTITY.md`, `USER.md`, `HEARTBEAT.md`, `BOOTSTRAP.md`, memory files, and skills), (3) Running lifecycle memory file workflows via `memories openclaw memory bootstrap|flush|snapshot|sync`, (4) Scheduling reminder prompts for OpenClaw refresh via `memories reminders`, (5) Troubleshooting OpenClaw workspace drift, missing skills, or path/config mismatches, (6) Updating OpenClaw runbooks or `llms.txt` guidance.
memories-sdk
by webrenewBuild against the memories.sh SDK packages in application code. Use when working with `@memories.sh/core` or `@memories.sh/ai-sdk`, including: (1) Initializing `MemoriesClient`, (2) Reading, writing, searching, or editing memories from backend code, route handlers, workers, or scripts, (3) Integrating memories with the Vercel AI SDK via `memoriesMiddleware`, `memoriesTools`, `preloadContext`, or `createMemoriesOnFinish`, (4) Choosing and applying `tenantId` / `userId` / `projectId` scoping, (5) Managing SDK skill files or management APIs, or (6) Debugging memories SDK usage in TypeScript or JavaScript applications. Use `memories-cli` for CLI workflows, `memories-mcp` for MCP setup, and `memories-dev` for monorepo internals.
memories-mcp
by webrenewMCP server integration for memories.sh — the persistent memory layer for AI agents. Use when: (1) Configuring the memories.sh MCP server for any client (Claude Code, Cursor, Windsurf, VS Code, v0, Claude Desktop, OpenCode, Factory), (2) Using MCP tools to store, search, retrieve memories, run lifecycle session workflows, or manage reminders, (3) Understanding get_context vs search_memories vs list_memories, (4) Working with streaming memory tools for SSE content, (5) Troubleshooting MCP connection issues, (6) Choosing between cloud MCP (HTTP) and local MCP (stdio) transports.
unicon
by webrenewHelp users add icons to their projects using the Unicon icon library. Unicon provides 19,000+ icons from Lucide, Phosphor, Hugeicons, Heroicons, Tabler, Feather, Remix, Simple Icons (brand logos), and Iconoir. Use when adding icons to React, Vue, Svelte, or web projects; using the unicon CLI to search, get, or bundle icons; setting up .uniconrc.json config; generating tree-shakeable icon components; using the Unicon API; or converting between icon formats.
unicon
by webrenewHelp users add icons to their projects using the Unicon icon library. Unicon provides 19,000+ icons from Lucide, Phosphor, Hugeicons, Heroicons, Tabler, Feather, Remix, and Simple Icons. Use when adding icons to React, Vue, Svelte, or any web project; using the unicon CLI to search, get, or bundle icons; setting up .uniconrc.json config for icon management; generating tree-shakeable icon components; using the Unicon API for programmatic icon access; or converting between icon formats (SVG, React, Vue, Svelte, JSON).
unicon
by webrenewHelp users add icons to their projects using the Unicon icon library. Unicon provides 19,000+ icons from Lucide, Phosphor, Hugeicons, Heroicons, Tabler, Feather, Remix, Simple Icons (brand logos), and Iconoir. Use when adding icons to React, Vue, Svelte, or web projects; using the unicon CLI to search, get, or bundle icons; setting up .uniconrc.json config; generating tree-shakeable icon components; using the Unicon API; or converting between icon formats.
unicon-mcp
by webrenewHelp users connect the Unicon MCP server to Claude Desktop, Cursor, and other MCP clients. Use when setting up MCP config, verifying installs, debugging MCP connection issues, or using Unicon tools for icon search and generation through AI assistants.
blackbox-builder
by webrenewGuides usage of Blackbox Builder (build.blackbox.ai) for vibe coding full-stack apps from natural language, deploying to Blackbox hosting, and rapid prototyping. Activates when building apps with Builder, using voice input, or deploying to Blackbox hosting.
blackbox-enterprise
by webrenewGuides Blackbox AI Enterprise features including team management, SSO/SAML configuration, role-based access control, model aliases, compliance (SOC2, HIPAA), usage monitoring, and enterprise deployment options. Activates when setting up teams, SSO, RBAC, or compliance.
blackbox-skills
by webrenewGuides creating, managing, and authoring Blackbox AI skills, including the .blackbox/skills/ directory structure, /skill CLI commands, and cross-platform skill compatibility with both Blackbox AI and Claude Code. Activates when building or organizing skills.
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.