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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25-voice-clone-podcast-global
by minhnv0807Audio AI for global personal brand — voice clone (ElevenLabs, Murf, PlayHT), podcast, audiobook, voiceover. 3 use cases: short voiceover (TikTok/Reels), podcast 30-60min, audiobook. 1:10 repurpose (1 podcast → 10 short clips). English (US/UK/AU/SG accents available). Trigger: 'voice clone global', 'ElevenLabs', 'podcast AI', 'audiobook AI', 'voiceover AI'.
05-ad-copy-global
by minhnv08076 ad copy variations (2 TOFU + 2 MOFU + 2 BOFU) for global markets. Frameworks: AIDA, PAS, BAB. Platforms: Meta, Google, TikTok. INCLUDES Dropshipping Mode (4 templates) for Shopify dropshippers. Trigger: 'ad copy', 'Facebook ads', 'TikTok ads', 'Google Ads copy', 'dropshipping ads', 'Shopify ads'.
29-dropshipping-mastery-global
by minhnv0807Full dropshipping pipeline for US/EU/global markets — product research (winning criteria, Minea, PiPiAds), supplier sourcing (AliExpress, CJ Dropshipping, Spocket, Zendrop), Shopify store setup (themes, apps), ad creative pipeline (10 ads/week methodology, UGC pattern), audience targeting (interest stacking, lookalike, broad), pricing math (3-5x markup, BE-ROAS), customer service (long shipping, refunds), scaling playbook (CBO, vertical), compliance (FTC, EU CHRD). Trigger: 'dropshipping', 'shopify store', 'AliExpress', 'winning product', 'Facebook ads dropship', 'TikTok ads dropship', 'Shopify conversion'.
22-personal-brand-context-global
by minhnv0807Foundation skill for global personal brand cluster. Creates `.agents/personal-brand-context-global.md` with region-specific personal brand context. 4 region variants (US/EU/SEA/LATAM); each covers founder/coach/creator inside. Reads BEFORE other PB skills (23-28 global). Trigger: 'global personal brand', 'international personal brand', 'US founder brand', 'EU coach brand', 'creator economy global'.
23-personal-brand-strategy-global
by minhnv080712-month personal brand strategy for international markets — niche selection (Ikigai + 3x3), positioning statement, story arc 3 chapters, content pillars 4×7=28 topics, authority ladder 5 stages, growth plan Q1-Q4. Universal framework, examples diverse (US/EU/SEA/LATAM). Trigger: 'personal brand strategy', 'global founder strategy', 'creator strategy', 'coach positioning', 'niche selection global'.
24-ai-avatar-production-global
by minhnv0807AI Avatar production pipeline for global markets — 3-tier tools (Free/Pro/Enterprise), 4 workflows (single avatar, translate, batch, hybrid), voice clone, anti-detection, QA Score 100. Has 4 region variants for DISCLOSURE LAW (US FTC, EU AI Act, SEA per country, LATAM mixed). Tools: HeyGen, Synthesia, ElevenLabs, Captions, Rask AI. Trigger: 'AI avatar', 'HeyGen', 'Synthesia', 'avatar AI video', 'talking head AI', 'AI video translate', 'batch AI video'.
26-thought-leadership-content-global
by minhnv0807Long-form text content for global personal brand — DIFFERENT from skill 05 (ad copy for sales). 3 structures: PAS-Insight (founder), Story-Lesson-CTA (coach), Hook-List-Reveal (creator). 6 hook formulas. Platforms: LinkedIn, Twitter/X, Substack, Medium. 1:5 repurpose. QA Score 100. Trigger: 'LinkedIn post', 'thought leadership', 'long-form content', 'newsletter post', 'Twitter thread', 'Substack'.
28-community-building-global
by minhnv0807Community building for global personal brand — Skool, Mighty Networks, Discord, Circle, Slack. 3-layer blueprint (Public/Member/Inner). 7-day onboarding. Engagement rituals. Moderation playbook. Activation metrics. Trigger: 'community building', 'Skool community', 'Mighty Networks', 'Discord community', 'paid community', 'mastermind community'.
22-personal-brand-context
by minhnv0807Khi nguoi dung muon tao hoac cap nhat tai lieu goc ve personal brand — dinh vi ca nhan, niche, story arc, content pillars, audience ca nhan, brand voice, monetization muc tieu. Cung dung khi nguoi dung nhac 'personal brand', 'thuong hieu ca nhan', 'ho so ca nhan', 'founder context', 'coach context', 'creator context', 'ICP cho ca nhan'. Foundation skill — chay TRUOC moi skill personal brand khac (23-28). Tao file `.agents/personal-brand-context.md` voi 12 sections.
24-ai-avatar-production
by minhnv0807Pipeline AI Avatar production deep dive — 3 tier tools (Free/Pro/Enterprise), 4 workflow (single avatar / translate da ngon ngu / batch production / hybrid real+AI), voice clone protocol, anti-detection cho FB/IG/TikTok VN, ethics & disclosure VN (Nghi dinh 147/2024), QA Score 100 diem. Tools: HeyGen, Synthesia, ElevenLabs, Captions, Rask AI, Vbee. Trigger: 'tao avatar AI', 'video AI HeyGen', 'voice clone ElevenLabs', 'lipsync Captions', 'AI video translate', 'talking head AI', 'batch video AI', 'pipeline AI avatar'.
27-personal-brand-monetize
by minhnv0807Xay funnel kiem tien tu personal brand — 3 phien ban funnel khac nhau cho founder/coach/creator. Offer ladder template (Free → Low → Mid → High). Pricing psychology ca nhan. Outreach inbound vs outbound. Brand deal negotiation cho creator. Tax & legal VN 2026 (thue ca nhan, ho kinh doanh vs cong ty). Trigger: 'kiem tien personal brand', 'offer ladder ca nhan', 'course launch', '1-on-1 coaching', 'affiliate ca nhan', 'sponsorship deal', 'founder lead gen'.
28-community-building
by minhnv0807Xay community quanh personal brand — Zalo Group, Telegram, FB Group, Skool, Mighty Networks, Discord. Community blueprint 3 lop (Public/Member/Inner). Onboarding flow 7 ngay. Engagement rituals weekly. Moderation playbook. Activation metrics. Anti-pattern VN. Trigger: 'cong dong personal brand', 'Zalo group', 'Skool community', 'Mighty Networks', 'fan club online', 'membership site', 'community building VN'.
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.