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...
bc-marketing-create-form-entry
by breatheco-deUse when creating FormEntry leads via public capture, partner app, staff POST, or CSV bulk upload, including CRM and webhook side effects; do NOT use for listing, editing, deleting, or analyzing existing leads.
bc-events-bulk-import-checkins
by breatheco-deUse when staff bulk-import event attendees (RSVP and optional attended) for an existing academy event via async job; do NOT use for creating/editing events, Luma webhooks, or learner self-service check-in.
bc-monitoring-read-report-acquisition
by breatheco-deUse when reading and interpreting the acquisition monitoring report via `/v1/monitoring/report/acquisition*`; do NOT use for report generation or acquisition report implementation changes.
bc-monitoring-read-reports-api
by breatheco-deUse when retrieving monitoring report data for dashboards or frontend report screens via `/v1/monitoring/report*`; do NOT use for creating new report generators or running `generate_report`.
bc-talentdevelopment-manage-skills
by breatheco-deGuides coding agents through the BreatheCode talent development API (job families, roles, career paths and stages, skill domains, global skills, competencies, stage-anchored skills), including search and filter query parameters on list endpoints. Use when building or querying the school skills framework, linking skills to career stages while designing syllabi, or automating talent_development endpoints under /v1/talent/.
bc-payments-configure-academy-stripe
by breatheco-deUse when academy staff need to configure Stripe API keys and webhook secret for their academy; do NOT use for payment method catalog CRUD, subscription cancel/refund, or student card onboarding.
bc-certificate-manage-and-assign-specialties
by breatheco-deUse when academy staff need to list or view certificate specialties, create or update academy-owned specialties, link a syllabus to a specialty, or assign a specialty to a student by issuing a certificate; do NOT use for listing a student's own certificates (use certificate me endpoint).
bc-marketing-manage-form-entries
by breatheco-deUse when staff search, filter, update, delete, or re-process existing academy FormEntry leads; do NOT use for creating leads, debugging storage_status failures, or public capture flows.
bc-events-create-and-edit-event
by breatheco-deUse when staff need to create or set up academy events (event type, tags, optional workshop asset, host, and meeting setup); do NOT use for during-event operations (bc-events-during-event), post-event wrap-up (bc-events-post-event), bulk attendee import (bc-events-bulk-import-checkins), or learner join/check-in.
bc-admissions-create-manage-syllabus-schedules
by breatheco-deUse when staff need to create and manage syllabus schedule templates, schedule timeslots, and sync them into cohort timeslots; do NOT use for syllabus JSON/version authoring or macro override content workflows.
bc-payments-manage-academy-payment-methods
by breatheco-deUse when academy staff need to set main currency and create, list, update, or deprecate checkout payment methods; do NOT use for Stripe credential setup when is_credit_card is true (use bc-payments-configure-academy-stripe first), student card save, or subscription cancel/refund.
bc-registry-asset-comments-and-issues
by breatheco-deUse when academy staff need to manage registry asset comments (optional `academies=<id,id>` querystring on GET for multi-academy scope) and asset error issues end-to-end including deduping legacy duplicate error rows, and do NOT use for public asset browsing or non-registry workflows.
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.