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...
documenso-deploy-integration
by nivkazdanDeploy Documenso integrations across different platforms and environments. Use when deploying to cloud platforms, containerizing applications, or setting up infrastructure for Documenso integrations. Trigger with phrases like "deploy documenso", "documenso docker", "documenso kubernetes", "documenso cloud deployment".
documenso-hello-world
by nivkazdanCreate a minimal working Documenso example. Use when starting a new Documenso integration, testing your setup, or learning basic document signing patterns. Trigger with phrases like "documenso hello world", "documenso example", "documenso quick start", "simple documenso code", "first document".
documenso-incident-runbook
by nivkazdanIncident response procedures for Documenso integration issues. Use when diagnosing production incidents, handling outages, or responding to Documenso service disruptions. Trigger with phrases like "documenso incident", "documenso outage", "documenso down", "documenso troubleshooting".
documenso-install-auth
by nivkazdanInstall and configure Documenso SDK/API authentication. Use when setting up a new Documenso integration, configuring API keys, or initializing Documenso in your project. Trigger with phrases like "install documenso", "setup documenso", "documenso auth", "configure documenso API key".
documenso-local-dev-loop
by nivkazdanSet up local development environment and testing workflow for Documenso. Use when configuring dev environment, setting up test workflows, or establishing rapid iteration patterns with Documenso. Trigger with phrases like "documenso local dev", "documenso development", "test documenso locally", "documenso dev environment".
documenso-multi-env-setup
by nivkazdanConfigure Documenso across multiple environments (dev, staging, production). Use when setting up environment-specific configurations, managing API keys, or implementing environment promotion workflows. Trigger with phrases like "documenso environments", "documenso staging", "documenso dev setup", "multi-environment documenso".
documenso-data-handling
by nivkazdanHandle document data, signatures, and PII in Documenso integrations. Use when managing document lifecycle, handling signed PDFs, or implementing data retention policies. Trigger with phrases like "documenso data", "signed document", "document retention", "documenso PII", "download signed pdf".
documenso-rate-limits
by nivkazdanImplement Documenso rate limiting, backoff, and request throttling patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Documenso. Trigger with phrases like "documenso rate limit", "documenso throttling", "documenso 429", "documenso retry", "documenso backoff".
documenso-reference-architecture
by nivkazdanImplement Documenso reference architecture with best-practice project layout. Use when designing new Documenso integrations, reviewing project structure, or establishing architecture standards for document signing applications. Trigger with phrases like "documenso architecture", "documenso best practices", "documenso project structure", "how to organize documenso".
documenso-sdk-patterns
by nivkazdanApply production-ready Documenso SDK patterns for TypeScript and Python. Use when implementing Documenso integrations, refactoring SDK usage, or establishing team coding standards for Documenso. Trigger with phrases like "documenso SDK patterns", "documenso best practices", "documenso code patterns", "idiomatic documenso".
documenso-upgrade-migration
by nivkazdanExecute Documenso API version upgrades and SDK migrations. Use when upgrading from v1 to v2 API, updating SDK versions, or migrating between Documenso versions. Trigger with phrases like "documenso upgrade", "documenso v2 migration", "update documenso SDK", "documenso API version".
documenso-observability
by nivkazdanImplement monitoring, logging, and tracing for Documenso integrations. Use when setting up observability, implementing metrics collection, or debugging production issues. Trigger with phrases like "documenso monitoring", "documenso metrics", "documenso logging", "documenso tracing", "documenso observability".
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.