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...
email-triage
by gnektScan and process unread emails. Scores by priority (VIP, urgency, deadlines), classifies, saves relevant emails as vault notes, and generates a triage report. Triggers: EN: "check my email", "what's in my inbox", "process emails", "email triage", "anything urgent in email?", "save important emails". IT: "controlla le email", "cosa c'è nella mia inbox", "triage email", "processa le email", "email urgenti". FR: "vérifier mes emails", "trier mes emails". ES: "revisar mi correo", "triaje de emails". DE: "E-Mails prüfen", "Posteingang sichten". PT: "verificar meus emails", "triagem de emails".
email-triage
by gnektScan and process unread emails. Scores by priority (VIP, urgency, deadlines), classifies, saves relevant emails as vault notes, and generates a triage report. Triggers: EN: "check my email", "what's in my inbox", "process emails", "email triage", "anything urgent in email?", "save important emails". IT: "controlla le email", "cosa c'è nella mia inbox", "triage email", "processa le email", "email urgenti". FR: "vérifier mes emails", "trier mes emails". ES: "revisar mi correo", "triaje de emails". DE: "E-Mails prüfen", "Posteingang sichten". PT: "verificar meus emails", "triagem de emails".
onboarding
by gnektFirst-time vault setup and onboarding. Guides the user through a multi-phase conversation to collect preferences, life areas, integrations, and creates the full vault structure. Triggers: EN: "initialize the vault", "set up the vault", "onboarding", "vault setup". IT: "inizializza il vault", "configura il vault", "setup del vault". FR: "initialiser le vault", "configurer le vault". ES: "inicializar el vault", "configurar el vault". DE: "Vault initialisieren", "Vault einrichten". PT: "inicializar o vault", "configurar o vault". JA: "Vaultを初期化", "Vaultをセットアップ".
onboarding
by gnektFirst-time vault setup and onboarding. Guides the user through a multi-phase conversation to collect preferences, life areas, integrations, and creates the full vault structure. Triggers: EN: "initialize the vault", "set up the vault", "onboarding", "vault setup". IT: "inizializza il vault", "configura il vault", "setup del vault". FR: "initialiser le vault", "configurer le vault". ES: "inicializar el vault", "configurar el vault". DE: "Vault initialisieren", "Vault einrichten". PT: "inicializar o vault", "configurar o vault". JA: "Vaultを初期化", "Vaultをセットアップ".
vault-audit
by gnektFull 7-phase vault audit: structural scan, duplicate detection, link integrity, frontmatter audit, MOC review, cross-agent integration check, and health report. Triggers: EN: "weekly review", "check the vault", "vault audit", "full audit", "vault health". IT: "revisione settimanale", "controlla il vault", "audit del vault", "salute del vault". FR: "audit du vault", "vérifier le vault". ES: "auditoría del vault", "revisar el vault". DE: "Vault-Audit", "Vault überprüfen". PT: "auditoria do vault", "verificar o vault".
weekly-agenda
by gnektGenerate a day-by-day overview of the week combining calendar events, email deadlines, and vault tasks into a single structured agenda. Triggers: EN: "weekly agenda", "what's this week", "week overview", "plan my week". IT: "agenda settimanale", "cosa c'è questa settimana", "panoramica della settimana". FR: "agenda de la semaine", "programme de la semaine". ES: "agenda semanal", "qué hay esta semana". DE: "Wochenagenda", "Wochenübersicht". PT: "agenda semanal", "o que tem esta semana".
contact-sync
by gnektSync a person to Apple Contacts. Searches by name/email, creates if missing, updates if info is incomplete. Designed to be called by the dispatcher after email interactions (drafting replies, processing emails) or on demand. Triggers: EN: "sync contact", "add to contacts", "save contact", "update contact", "is this person in my contacts". IT: "sincronizza contatto", "aggiungi ai contatti", "salva contatto", "aggiorna contatto". FR: "synchroniser le contact", "ajouter aux contacts", "sauvegarder le contact". ES: "sincronizar contacto", "agregar a contactos", "guardar contacto". DE: "Kontakt synchronisieren", "zu Kontakten hinzufuegen", "Kontakt speichern". PT: "sincronizar contato", "adicionar aos contatos", "salvar contato".
tag-garden
by gnektAnalyze all vault tags: find unused, orphan, near-duplicate, over-used, and under-used tags. Suggest merges and cleanup actions. Triggers: EN: "tag garden", "clean up tags", "tag cleanup", "tag audit". IT: "tag garden", "pulizia tag", "revisione tag". FR: "jardinage des tags", "nettoyer les tags". ES: "jardín de tags", "limpiar tags". DE: "Tag-Garten", "Tags aufräumen". PT: "jardim de tags", "limpar tags".
transcribe
by gnektProcess audio recordings, meeting transcripts, podcasts, or lectures. Runs an intake interview (date, mode, speakers, language) then processes into structured notes with action items, decisions, and glossary. Triggers: EN: "transcribe", "I have a recording", "process this audio", "meeting notes from recording", "summarize the call", "lecture notes", "podcast summary". IT: "trascrivi", "ho una registrazione", "processa questo audio", "note della riunione", "riassumi la call". FR: "transcrire", "j'ai un enregistrement", "résumer l'appel". ES: "transcribir", "tengo una grabación", "resumir la llamada". DE: "transkribieren", "Aufnahme verarbeiten". PT: "transcrever", "tenho uma gravação".
transcribe
by gnektProcess audio recordings, meeting transcripts, podcasts, or lectures. Runs an intake interview (date, mode, speakers, language) then processes into structured notes with action items, decisions, and glossary. Triggers: EN: "transcribe", "I have a recording", "process this audio", "meeting notes from recording", "summarize the call", "lecture notes", "podcast summary". IT: "trascrivi", "ho una registrazione", "processa questo audio", "note della riunione", "riassumi la call". FR: "transcrire", "j'ai un enregistrement", "résumer l'appel". ES: "transcribir", "tengo una grabación", "resumir la llamada". DE: "transkribieren", "Aufnahme verarbeiten". PT: "transcrever", "tenho uma gravação".
inbox-triage
by gnektProcess all notes in 00-Inbox/: scan, classify by content, route to correct vault location, update MOCs, extract action items, and generate a daily digest. Triggers: EN: "triage the inbox", "clean up the inbox", "sort my notes", "empty inbox", "file my notes", "process the inbox". IT: "smista l'inbox", "svuota l'inbox", "ordina le note", "triage dell'inbox", "processa l'inbox". FR: "trier la boite de réception", "vider l'inbox", "classer mes notes". ES: "clasificar la bandeja de entrada", "vaciar el inbox", "ordenar mis notas". DE: "Inbox sortieren", "Inbox leeren", "Notizen einordnen". PT: "triagem da inbox", "esvaziar a inbox", "organizar minhas notas".
create-agent
by gnektCreate a new custom agent from scratch. Runs a 6-phase interview to understand purpose, capabilities, triggers, output format, and coordination rules, then generates the agent file. Triggers: EN: "create a new agent", "custom agent", "I need a new agent", "build an agent", "new crew member". IT: "crea un nuovo agente", "agente personalizzato", "nuovo membro del crew". FR: "créer un nouvel agent", "agent personnalisé". ES: "crear un nuevo agente", "agente personalizado". DE: "neuen Agenten erstellen". PT: "criar um novo agente".
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.