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...
dead-internet
by kluless13Dan Koe's framework for standing out in the AI-saturated internet. Signal vs slop, taste, and value creation. TRIGGERS: - When user asks how to stand out online - When user worries content is too saturated - When user asks about AI-generated content competition - When user wants to understand what "value" means now - When user asks about growing on social media - When user feels their content is generic CAPABILITIES: - Explain the slop-to-signal spectrum - Guide development of taste and personal voice - Provide network growth strategies beyond algorithm - Help transition from content creator to content director - Build an "idea museum" for unique perspectives
24-months-skills
by kluless13Dan Koe's framework for navigating the AI shift and skills that matter in the next 24 months. TRIGGERS: - When user asks what skills to learn - When user worried about AI taking jobs - When user asks about future-proofing career - When user wants to understand the AI shift - When user feels behind on technology - When user asks about adapting to change CAPABILITIES: - Explain the 3 types in every technological shift - Guide through the "liberating arts" framework - Show how skills abstract upward - Provide actionable learning priorities - Help user become "the curious" type
deep-focus
by kluless13Dan Koe's framework for achieving deep focus and flow states. TRIGGERS: - When user can't concentrate or focus - When user asks about deep work or productivity - When user struggles with distraction - When user wants to enter flow states - When user asks about motivation or discipline - When user feels scattered or unfocused CAPABILITIES: - Explain the psychology of focus (clarity, importance, urgency) - Guide through the intrinsic motivator stack - Apply the fill/empty/use brain cycle - Diagnose why focus isn't working - Design personalized deep work protocols
dopamine-detox
by kluless13Dan Koe's 30-day dopamine detox protocol for resetting your life. TRIGGERS: - When user feels stuck or life has become a blur - When user can't focus or feels scattered - When user is addicted to phone/social media/gaming - When user wants to reset their habits - When user feels like they're wasting time - When user lacks motivation or drive CAPABILITIES: - Guide through the 30-day reset protocol - Explain the psychology of dopamine and motivation - Help identify cheap dopamine sources to eliminate - Connect boredom to creativity and novelty - Design a personalized detox plan
human-3
by kluless13Dan Koe's HUMAN 3.0 framework - a comprehensive map for reaching your highest potential across all life domains. TRIGGERS: - When user feels stuck or plateaued in life - When user is successful in one area but failing in others - When user asks about personal development or self-actualization - When user wants a comprehensive life framework - When user asks about balancing career, health, relationships, and meaning - When user mentions feeling "off" despite external success CAPABILITIES: - Assess current developmental level across all quadrants - Identify imbalanced lifestyle archetypes - Guide through the phase system (Dissonance → Uncertainty → Discovery) - Apply the Anti-Vision protocol for clarity - Diagnose false transformation patterns - Design quadrant-specific development protocols
one-person-business
by kluless13Dan Koe's framework for building a one-person business with digital leverage and AI. TRIGGERS: - When user wants to start a solo business - When user asks about one-person business model - When user wants to escape employment - When user asks about digital products or info products - When user wants to build a personal brand business - When user asks about becoming a creator entrepreneur CAPABILITIES: - Explain the one-person business model - Guide through the creator economy path - Apply digital leverage concepts - Help design product ecosystems - Connect personal development to business building
3-levels-of-money
by kluless13Dan Koe's framework for understanding your relationship with money and escaping wage slavery. TRIGGERS: - When user feels trapped in their job or "wage slavery" - When user asks about money mindset or relationship with money - When user wants to escape the 9-5 - When user feels empty despite making money - When user asks about pursuing their "life's work" - When user mentions feeling like they're in survival mode CAPABILITIES: - Diagnose which money level the user is at - Provide the path to the next level - Apply the Anti-Vision protocol for motivation - Guide through the phases of development (Dissonance → Uncertainty → Discovery)
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.