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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performing-physical-intrusion-assessment
by AgentFlocksConduct authorized physical penetration testing using tailgating, badge cloning, lock bypassing, and rogue device deployment to evaluate facility security controls.
theme-arena
by linkerlin正面硬刚，技术对决，胜负分明
pikud-haoref-safety-protocols
by skills-ilActionable safety protocols per Home Front Command alert type in Israel. Use when a user asks what to do during a specific type of emergency alert (missiles, hostile aircraft, earthquake, tsunami, hazardous materials, terrorist infiltration), needs regional response time guidance, wants safety instructions for special populations (elderly, disabled, children), or is a new immigrant learning Israeli emergency procedures. Provides step-by-step actions for each alert category, post-alert procedures, and when it is safe to leave the shelter. Helps users respond correctly during emergencies, which can be the difference between life and injury. Do NOT use for building alert API integrations (use pikud-haoref-alerts), for finding or preparing shelters (use israeli-shelter-guide), or for non-Israeli emergency response procedures.
conducting-malware-incident-response
by autohandaiResponds to malware infections across enterprise endpoints by identifying the malware family, determining infection vectors, assessing spread, and executing eradication procedures. Covers the full lifecycle from detection through containment, analysis, removal, and recovery. Activates for requests involving malware response, malware eradication, trojan removal, worm containment, malware triage, or infected endpoint remediation.
investigating-phishing-email-incident
by autohandaiInvestigates phishing email incidents from initial user report through header analysis, URL/attachment detonation, impacted user identification, and containment actions using SOC tools like Splunk, Microsoft Defender, and sandbox analysis platforms. Use when a reported phishing email requires full incident investigation to determine scope and impact.
performing-false-positive-reduction-in-siem
by autohandaiPerform systematic SIEM false positive reduction through rule tuning, threshold adjustment, correlation refinement, and threat intelligence enrichment to combat alert fatigue.
performing-ransomware-tabletop-exercise
by autohandaiPlans and facilitates tabletop exercises simulating ransomware incidents to test organizational readiness, decision-making, and communication procedures. Designs realistic scenarios based on current ransomware threat actors (LockBit, ALPHV/BlackCat, Cl0p), injects covering double extortion, backup destruction, and regulatory notification requirements. Evaluates participant responses against NIST CSF and CISA guidelines. Activates for requests involving ransomware tabletop, incident response exercise, or ransomware readiness drill.
task-pua
by Arry8Task persistence enhancer with 13 corporate flavors. Prevents AI from giving up easily using PUA-style pressure escalation.
electronics-support
by gauravhubDiagnose and resolve common consumer electronics problems including TVs, laptops, smartphones, and headphones
code-enforcement-case-summary
by BrianPillmoreSummarize a code enforcement or nuisance case for internal review or action routing with facts and process status.
home-front-command-guidelines
by danielrosehillUse when the user asks about Israeli civilian emergency / shelter / protection guidelines issued by Pikud HaOref (Home Front Command, פיקוד העורף) — e.g. what to do during a rocket or missile alert, how long they have to reach a protected space (mamad / miklat), what to do in a vehicle, on the road, or outdoors during a siren, hazardous-materials events, terrorist infiltration, hostile aerial vehicle (drone) infiltration, how to prepare a home protected space, emergency equipment lists, family emergency planning, and official alert channels. Answers from a bundled English-language snapshot (22 files, ~31K words) of the official oref.org.il/eng guidelines and always cites the upstream source URL per answer. Trigger phrases - "what do I do during an air raid", "how long to get to a shelter", "rocket siren guidelines", "mamad requirements", "home front command advice", "pikud haoref guidelines", "shelter time in my area", "what to do if siren goes off in car", "hazardous materials instructions", "oref guidelines
space-zombies
by lherronExpert knowledge on surviving the inevitable space zombie apocalypse
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.