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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ap-combat
by rjroyThis skill should be used when the GM needs to handle Apocrypha combat situations, including resolving attacks against adversaries, dealing stress to adversaries, tracking adversary stress and defeat, spending Fear in combat, activating adversary Fear abilities, managing encounter state, or running player-rolls-everything combat encounters.
ap-players
by rjroyThis skill should be used when the GM needs to help players create Apocrypha characters, define keywords with scoping and exclusions, handle character advancement and level-up, manage keyword splitting or retirement, track progression milestones, set up rest and recovery scenes, or reference character sheet and story templates.
d20-players
by rjroyThis skill should be used when the GM needs to help players create characters, roll for stats, assign ability scores, handle leveling up, increase hit points, choose classes, pick proficiencies, or manage player character creation, advancement, or character sheet management. Provides templates and rules for SRD 5.2 character creation and leveling.
dh-adversaries
by rjroyThis skill should be used when creating Daggerheart adversaries, building stat blocks, designing encounters, or determining enemy difficulty. Invoke when the GM needs to create enemies, generate adversary stat blocks, calculate Battle Points for encounter balance, or reference adversary types (Bruiser, Horde, Leader, Minion, Ranged, Skulk, Social, Solo, Standard, Support).
dh-combat
by rjroyThis skill should be used when the GM needs to handle Daggerheart combat, including action roll resolution, Hope/Fear token economy, spotlight flow, damage tracking, reaction rolls, and managing combat encounters. Provides action outcome tables, encounter tracking templates, and condition references.
dh-domains
by rjroyThis skill should be used when handling domain cards and magical abilities in Daggerheart, including looking up domain card effects, understanding Recall costs, making Spellcast Rolls, selecting domain cards during character creation or advancement, or when players want to use domain-based abilities. Covers all 9 SRD domains (Arcana, Blade, Bone, Codex, Grace, Midnight, Sage, Splendor, Valor) and their associated cards.
dh-frame
by rjroyThis skill should be used when creating a new Daggerheart campaign, establishing world tone and themes, selecting or building a campaign frame, or reframing an existing adventure. Campaign frames provide pitch, tone, themes, community/ancestry/class guidance, principles, distinctions, inciting incidents, and special mechanics for a particular type of story.
dh-players
by rjroyThis skill should be used when the GM needs to help players create Daggerheart characters, select a class/ancestry/community, define Experiences with bounded constraints, choose domain cards, or handle level advancement (1-10). Provides templates for character sheets, session state, and Experience definitions to prevent semantic drift during gameplay.
dh-rules
by rjroyThis skill should be used when the GM needs to look up Daggerheart rules, reference what the SRD says, find official rules, get exact wording, check RAW (rules as written), verify rules references, or understand how mechanics work in Daggerheart. Provides authoritative rule clarification from the Daggerheart System Reference Document 1.0.
d20-magic
by rjroyThis skill should be used when the GM needs to handle spellcasting situations, including resolving spell effects, managing spell slots, calculating spell save DCs, handling concentration, resolving spell attacks, determining spellcasting abilities, handling cantrips, or processing ritual casting. Provides spellcasting rules, formulas, and references for running magical gameplay.
ap-adversaries
by rjroyThis skill should be used when the GM needs to create Apocrypha adversaries, build adversary keyword blocks, design Fear abilities, determine stress thresholds, set adversary tier and difficulty, track adversary stress during encounters, or reference adversary templates and examples for minor, standard, and major tier adversaries.
ap-rules
by rjroyThis skill should be used when the GM needs to look up Apocrypha rules, check how a mechanic works, verify dice resolution, understand the hope/fear economy, reference stress rules, check keyword scoping, look up rest and recovery, understand progression and leveling, review session and act structure, or get GM guidelines for running Apocrypha.
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.