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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c-bluetooth
by daxaurManage Bluetooth devices on macOS using the blucli (`blu`) CLI. List paired and available devices, connect to headphones/speakers/keyboards, and disconnect devices by name or MAC address.
c-music
by daxaurControl Spotify playback using the `spogo` CLI. Play, pause, skip, search tracks/albums/playlists, manage the queue, and browse your library.
ikea-varmblixt-smart-lamp
by plurigridIKEA VARMBLIXT smart donut lamp (Matter over Thread). Use when pairing, factory resetting, troubleshooting, configuring, or integrating the VARMBLIXT with Apple Home, Google Home, Amazon Alexa, SmartThings, Home Assistant, or other Matter ecosystems. Covers BILRESA remote, wall mounting, color quirks.
ikea-varmblixt-smart-lamp
by plurigridIKEA VARMBLIXT smart donut lamp (Matter over Thread). Use when pairing, factory resetting, troubleshooting, configuring, or integrating the VARMBLIXT with Apple Home, Google Home, Amazon Alexa, SmartThings, Home Assistant, or other Matter ecosystems. Covers BILRESA remote, wall mounting, color quirks.
device-assistant
by bighardpersonPersonal device and appliance manager with error code lookup and troubleshooting. Tracks all your devices (appliances, electronics, software) with model numbers, manuals, and warranty info. When something breaks, tell it the error code and get instant solutions. Use when: device shows error, need manual, warranty check, adding new device, maintenance reminder. Triggers: /device, /geräte, 'mein Geschirrspüler', 'Fehler E24', 'Fehlermeldung', device problems, appliance issues.
syswhisper
by FlexasaurusrexServer health monitoring with plain language Telegram alerts. Tracks CPU, memory, disk, uptime, and custom metrics. Use when: running servers/VPS instances, monitoring app health, or need simple alerting. NOT for: enterprise-scale monitoring, complex distributed systems, or regulatory compliance logging.
nowplaying-setup-hardware
by schuettcUse when the user is wiring up the physical audio chain for Now Playing — connecting their turntable, RIAA preamp, RCA splitter, Sonos line-in, and USB audio capture device, or attaching the kiosk display and touch USB cable. Triggers on phrases like "wire the audio", "connect the turntable", "how do I split the signal", "what cables do I need", "set up the hardware", "connect the display".
common-skill
by 18816132863common-skill技能索引。当用户提出鸿蒙智家相关问题或是做鸿蒙智家设备控制时，先读此文件确定应加载哪个具体 skill，再按需加载对应 skill 获取数据和分析框架。不要一次性加载所有 skill。
purewave-home-theatre-consultancy
by DanieBarnardoUse this skill when helping with PureWave's home theatre consultancy business, including service packaging, client proposals, consultation prep, system design guidance, calibration recommendations, procurement advice, marketing copy, and Durban-specific business positioning.
r36s-darkos-upgrade-macos
by gosantosInstall or upgrade dArkOSRE-R36 on an Anbernic R36S handheld from macOS. Use when a user wants to flash dArkOS/dArkOSRE, identify their R36S panel, fix black-screen-on-boot issues, write to ext4 partitions from macOS, or clone/back up their stock SD card before flashing. Covers u-boot bootloader preservation, DTB panel matching, fstab fixes, and ROM migration.
sony-tv
by hausonsony 电视的使用手册
pc-mic-fix
by moloch00464-bitChrome-Mikrofon-Permission auf Markus-PC reparieren. Nutze wenn Markus sagt "Mic kaputt", "kein Mic-Berechtigung", "Sprachnachricht geht nicht" oder das Cockpit-UI keine Mic-Erlaubnis hat. 3-Schritt-Recipe (Chrome zu, Prefs editieren, Chrome auf).
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.