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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wb-serial
by wirenboardSerial bus (RS-485/Modbus) on WB — custom templates, adding devices via confed, and diagnostics: CRC errors, timeouts, device not responding, slow polling, bus scan, health check.
wb-network
by wirenboardNetwork configuration on a Wiren Board controller — NetworkManager, wb-connection-manager, Ethernet/WiFi/4G/OpenVPN, static IP, failover priorities, DNS, hotspot. Use when user mentions networking, can't reach controller, no internet, ping fails, IP address, WiFi setup, 4G modem, VPN.
wb-controller-backup
by wirenboardBackup and restore of a Wiren Board controller — collect a tar.gz with configs, /etc, data, package lists, network settings. Use when user wants to save controller state, prepare for firmware flash or controller replacement, transfer settings, restore after factory reset, roll back. NOT for diagnostic archive (that's wb-troubleshooting).
wb-dev
by wirenboardWriting software FOR Wiren Board controllers — custom daemons (C++/Python/Go), MQTT bridges (Zigbee2MQTT → WB, Modbus → WB, custom hardware), MQTT-RPC services, wbdev cross-compilation, Debian packaging, /devices/X/controls/Y topic conventions. Use when user wants to write a daemon, integration bridge, or hardware adapter. NOT for wb-rules JS automation.
wb-mod-slots
by wirenboardReconfigure WB controller MOD slots via wb-hwconf-helper — switch a slot away from its default (usually RS-485) into raw UART (/dev/ttyMODx), bit-banged I2C (/dev/i2c-modN), CAN, SPI, or 1-Wire by loading the matching device-tree overlay module. Use when user wants to repurpose a MOD slot, expose UART/I2C on MOD pins for chip programming or a non-Modbus device, mentions wb-hwconf-helper, /etc/wb-hardware.conf, wbe2x-generic-uart, wbe2x-generic-i2c, or sees /dev/ttyMOD3 give `stty: Input/output error`.
wb-mqtt-broker
by wirenboardMosquitto MQTT broker administration on Wiren Board — listeners, users, ACLs, password files, TLS, bridges to external brokers. /etc/mosquitto/conf.d/. Use when user mentions MQTT broker config, mosquitto, MQTT auth/password, MQTT TLS, external MQTT bridge, broker not running, MQTT client can't connect from outside.
wb-troubleshooting
by wirenboardGeneral Wiren Board controller diagnostics — failed systemd services, low disk space, kernel/firmware mismatch, Docker, iptables, diagnostic archive (wb-diag-collect), boot issues, web UI inaccessible. Use when user says controller is broken, not working, service down, asks for logs for support, or needs a diagnostic archive. NOT for serial/Modbus (use wb-serial), NOT for network-only issues (use wb-network).
wb-zigbee
by wirenboardZigbee devices on WB via zigbee2mqtt — bridge/state liveness probe, native vs Docker install detection, wb-mqtt-zigbee vs wb-zigbee2mqtt converter recognition, IEEE-address (0x...) and zigbee_<id> topic patterns, pairing, control, OTA.
wb-catalog
by wirenboardФункциональный каталог Modbus-устройств Wiren Board с быстрым выбором нужной модели и переходом в подробные страницы по каждому устройству. Используй, когда нужно: (1) определить назначение конкретного устройства WB, (2) найти устройство по типу (реле, счетчики, датчики, диммеры, шлюзы и т.д.), (3) открыть локальное подробное описание.
wb-devs
by wirenboardРаботать локально на контроллере Wiren Board с Modbus RTU/TCP и RS-485: диагностика systemd/journalctl/MQTT, чтение/запись регистров, скан шины, поиск конфликтов slave ID, смена адресов и безопасные сценарии прошивки/восстановления через modbus_client/modbus_client_rpc, wb-modbus-scanner, wb-mcu-fw-updater, wb-mcu-fw-flasher. Использовать для задач: "остановить/запустить wb-mqtt-serial", "прочитать/записать Modbus регистр", "скан RS-485", "дубликаты Modbus ID", "прошить/восстановить устройство".
wb-mqtt-tmpl
by wirenboardСоздавать JSON-описание MQTT-шаблона wb-mqtt-serial по документации Modbus-регистров (datasheet/register map/manual): извлекать все регистры, нормализовать адреса и типы, классифицировать channels/parameters, задавать enum/conditions/translations и возвращать структуру device_info+registers для small/medium/full шаблонов. Использовать, когда нужно сгенерировать или проверить шаблон устройства Wiren Board по карте Modbus-регистров.
wb-rules
by wirenboardРазрабатывать, объяснять и отлаживать серверные скрипты автоматизации wb-rules на JavaScript на контроллерах Wiren Board: `defineRule` (whenChanged/when/asSoonAs/cron), virtual devices, timers, modules, PersistentStorage, диагностика через `journalctl -u wb-rules`, `/etc/wb-rules`, `/var/run/wb-rules`, и интеграция с внешними сервисами через MQTT/hooks (`/hooks/wake`) и `POST /tools/invoke` (Telegram).
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.