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.
Querying local SQLite index...
x-pro-management
by nirholasNavigate to X Pro (TweetDeck), set up monitoring columns, and manage multi-column view. Use when users want to use X Pro / TweetDeck features or set up a multi-column dashboard.
x402-payments
by nirholasEnable and integrate x402 crypto payment protocol for XActions API access. Supports multi-chain, multi-token payments for pay-per-use API calls. Use when users want to pay for XActions operations with crypto or integrate x402 into their own agent/app.
xactions-cli
by nirholasCommand-line interface for scraping X/Twitter data, managing MCP server config, and running automation. Scrapes profiles, followers, tweets, search results, and more from terminal. Outputs text, JSON, or CSV. Uses Puppeteer stealth. Use when running Twitter operations from command line or automated pipelines.
xactions-mcp-server
by nirholasFree MCP server providing 68+ tools for AI agents to automate X/Twitter. Scrapes profiles, followers, tweets. Posts, follows, likes, retweets, downloads videos, analyzes sentiment, monitors brands, manages DMs, runs workflows, and more. Uses local Puppeteer -- no API keys or payments required. Compatible with Claude Desktop, Cursor, Windsurf, VS Code. Use when setting up or using AI agent Twitter automation via MCP.
account-backup
by nirholasExport and backup your X/Twitter account data — tweets, likes, bookmarks, followers, and following — as downloadable JSON. Also triggers X's official data archive download. Use when users want to backup, export, or archive their X account data.
account-tools
by nirholasMiscellaneous account utilities — view join date, login history, connected accounts, appeal suspension, QR code sharing, share/embed tweets, upload contacts, and calculate account age. Use when users need account info tools not covered by other skills.
algorithm-cultivation
by nirholasTrains an X/Twitter account's algorithmic feed to surface niche-relevant content and positions the account as a thought leader. Browser scripts for manual operation, Persona Engine for identity management, and 24/7 Algorithm Builder with LLM-powered engagement via Puppeteer. Use when a user wants to build their algorithm, cultivate their feed for a niche, grow a fresh account, become a thought leader, or run automated engagement with AI-generated content.
analytics-insights
by nirholasAnalyze X/Twitter engagement, hashtags, competitors, best posting times, follower demographics, tweet performance, viral detection, content calendar gaps, A/B testing, and engagement leaderboards. Browser console scripts for data-driven X optimization. Use when users want insights about their X performance.
articles-longform
by nirholasCompose, preview, publish, and manage long-form Articles on X/Twitter. Premium+ feature. Includes article creation, formatting, media insertion, and performance tracking. Use when users want to write, publish, manage, or analyze X Articles.
billing-management
by nirholasManage XActions subscriptions and billing — view plans, start a Stripe checkout, open the billing portal, or cancel a subscription. Use when users want to upgrade, downgrade, or manage their XActions subscription.
blocking-muting-management
by nirholasMass block, unblock, mute, unmute, and manage accounts on X/Twitter. Includes bot detection and blocking, keyword-based muting, muted word management, spam reporting, and follower removal via soft-block. Use when users want to block bots, mass block/unblock accounts, mute by keywords, manage muted words, or remove followers.
bookmarks-management
by nirholasManages X/Twitter bookmarks — organize by category with auto-tagging, clear all bookmarks in bulk, and export/scrape bookmarks with full metadata. Supports keyword-based categorization, CSV and JSON export, keep-filters, and folder creation (Premium). Use when users want to export, organize, or clear their X bookmarks.
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.