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.
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Connect 381,784 public skills to your own search, analytics, or agent workflow with the REST API.
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3d-animation-creator
by bokar83Takes a video file (e.g. a product deconstruction/assembly animation, before/after transformation) and builds a production-quality website with scroll-driven animation. The video plays forward and backward as the user scrolls, creating a mesmerizing Apple-style scroll-stopping effect. Uses frame extraction via FFmpeg, canvas-based rendering, and modern scroll-driven techniques. Includes: animated starscape background, annotation cards with snap-stop scroll, specs section with count-up animations, navbar with scroll-to-pill transform, loader, and full mobile responsiveness. Trigger when the user says "3D animation", "scroll-stop build", "scroll animation website", "scroll-driven video", "build the scroll-stop site", or provides a video file and asks to make it scroll-controlled. Also trigger for "Apple-style scroll animation" or "video on scroll".
ctq-social
by bokar83Use when reviewing, rewriting, or quality-checking any social media post or article draft for Boubacar Barry before publishing. Triggers on "review this post", "quality check this draft", "ctq-social", "does this sound like me", "check this LinkedIn post", "review this tweet", "run ctq", or any post needing Sankofa Council review before publishing.
boub-voice-mastery
by bokar83Ensures AI-generated content sounds human, earned, direct, and specifically aligned with Boubacar Barry's voice. Triggers on "voice check", "does this sound like me", "apply my voice", "voice mastery", "humanize this", "Boubacar voice".
inbound-lead
by bokar83Inbound lead routine for researching, drafting, logging, and notifying on new prospect opportunities. Triggers on "inbound lead", "new lead came in", "research this prospect", "log this inbound", "new inquiry".
opencli-rs
by bokar83Triggers on "opencli", "browse linkedin", "fetch from reddit", "search hackernews", "scrape this site with cli". Use opencli-rs CLI to interact with social/content websites (HackerNews, DevTo, Lobsters, StackOverflow, Steam, Linux-do, Arxiv, Wikipedia, Apple-Podcasts, Xiaoyuzhou, BBC, Hugging Face, SinaFinance, Google, V2EX, Bloomberg, Twitter/X, Bilibili, Reddit, Zhihu, Xiaohongshu, Xueqiu, Weibo, Douban, WeRead, YouTube, Medium, Substack, SinaBlog, BOSS直聘, Jike, Facebook, Instagram, TikTok, Yollomi, Yahoo-Finance, Barchart, LinkedIn, Reuters, SMZDM, Ctrip, Coupang, Grok, Jimeng, Chaoxing, Weixin, Doubao, Cursor, Codex, ChatWise, ChatGPT, Doubao-App, Notion, Discord, Antigravity etc.) via the user's Chrome login session. ALWAYS prefer opencli-rs over playwright/browser automation for these supported sites. Triggers: user asks to browse, search, or fetch hot/trending content from internet, post, or read messages on any web site;
pacio-whitelabel
by bokar83Pacio Digital Demolition Bundle whitelabel pipeline. Adapts 28 resellable Pascio/Pascal/CreatorPascal Notion templates into the humanatwork.ai catalog with PLR-compliant rename, voice rewrite, and cover redesign. Use when adapting any of the 28 resellable templates (NOT the 8 personal-use bonus materials). Triggers on "pacio whitelabel", "pascal pipeline", "/pacio", "adapt pacio template", "whitelabel <slug>".
website-to-hyperframes
by bokar83Capture a website and create a HyperFrames video from it. Use when a user provides a URL and wants a video, wants a social ad or product tour from a website, or pastes a link and asks for video content. Triggers on "website to hyperframes", "turn this url into a video", "capture this site as video", "make a promo from my site", "build a video from this website", "url to video", "site to video", "webpage to video", "turn this page into a promo".
studio-channel-cloner
by bokar83Reference + prompt pack for cloning successful faceless YouTube / TikTok / Shorts channels via Studio. Holds validated prompt templates, pipeline maps, common-mistake checklists, and RPM-based revenue models per niche tier. Not user-invocable; consumed by Boubacar when spinning a new faceless Studio channel. Triggers on "clone channel", "faceless channel", "channel cloner", "channel clone prompts", "studio channel".
studio-ugc-pipeline
by bokar83Reference + system spec for faceless AI UGC (user-generated content) production at Studio. Maps the 4-layer pipeline (script/hook, character generation, localization, distribution) to existing Studio orchestrator modules so operators know what is wired and what gaps remain. Triggers on "studio ugc", "ai ugc", "faceless ugc", "ugc pipeline", "character consistency", "multi-language voice clone".
scene-segmenter
by bokar83Breaks a script into N scene beats at 200 words/minute and emits one paired image-prompt and video-prompt per beat. Front-half of the Studio M3.5 channel cloner pipeline. Trigger on "segment script", "scene split", "beat segmentation", "script to scenes", "image and video prompts from script".
signal-works-pitch-reel
by bokar83Generates a Signal Works pitch reel video from website demo screenshots. Auto-generates niche-specific copywriting, builds a HyperFrames composition, renders the MP4, uploads to Google Drive, and logs to the Notion Content Board. Trigger when user provides a screenshots folder path and a niche name. Niches supported: roofer, pediatric dentist, hvac (extend as needed). Triggers on "signal works pitch reel", "pitch reel", "generate pitch video", "SW pitch reel", "build pitch reel".
content-multiplier
by bokar83Takes ONE approved content source (article URL, YouTube video, post, PDF, raw text) and generates 9 atomic content pieces aligned to Boubacar's voice and the 8 diagnostic lenses. Operates in verbatim mode (cite source, use quotes) or remix mode (strip unverifiable elements, keep concept, write Boubacar's original take with no source citation). Pieces route to LinkedIn, X, and matching Studio channel video scripts. Triggers automatically on Trend Scout approval, on /multiply slash command, on "multiply this: <url>" natural language, or on Notion Content Board records with Status=Multiply. Writes results to Content Board with multiplier_run_id grouping for batch review. Triggers on "content multiplier", "multiply this content", "repurpose this", "turn this into multiple posts", "content from one source".
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.