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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nginx-ops
by 0xDarkMatterNginx configuration, reverse proxy, SSL/TLS, load balancing, and performance tuning. Use for: nginx, reverse proxy, load balancer, proxy_pass, ssl certificate, lets encrypt, web server, location block, upstream, server block, nginx config, certbot, hsts, gzip, rate limiting.
screenshot
by 0xDarkMatterFind and display recent screenshots. Triggers: screenshot, check screenshot, show screenshot, recent screenshot, last screenshot.
iterate
by 0xDarkMatterAutonomous improvement loop - modify, measure, keep or discard, repeat. Inspired by Karpathy's autoresearch. Triggers on: iterate, improve autonomously, run overnight, keep improving, autoresearch, improvement loop, iterate until done, autonomous iteration, batch experiments.
markitdown
by 0xDarkMatterConvert local documents to Markdown using Microsoft's markitdown CLI. Best for: PDF, Word, Excel, PowerPoint, images (OCR), audio. Can fetch URLs but Jina is faster for web. Triggers on: convert to markdown, read PDF, parse document, extract text from, docx, xlsx, pptx, OCR image, local file.
project-planner
by 0xDarkMatterDetects stale project plans and suggests session commands. Triggers on: sync plan, update plan, check status, plan is stale, track progress, project planning.
atomise
by 0xDarkMatterAtom of Thoughts (AoT) reasoning - decompose complex problems into atomic units with confidence tracking and backtracking. For genuinely complex reasoning, not everyday questions. Triggers on: atomise, complex reasoning, decompose problem, structured thinking, verify hypothesis.
python-async-ops
by 0xDarkMatterPython asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.
supply-chain-defense
by 0xDarkMatterBehavioural-first software supply chain defense - catches poisoned npm/PyPI packages in the publish-to-advisory window that CVE tools miss. Use BEFORE every install or version bump (not only when an attack is suspected) - the 7-day cooldown gate + behavioural score catches freshly-published malware that CVE tools won't see for days. Socket.dev integration (free CLI + GitHub app + depscore MCP for Claude Code), stale-OIDC audit, dependency cooldown policy, publish-token rotation, VS Code extension audit, and a self-integrity scan that detects worm persistence hooks injected into Claude Code / VS Code settings. Triggers on: pip install, uv add, uv tool install, npm install, pnpm add, yarn add, cargo add, go get, composer require, gem install, upgrade dependency, dependency upgrade, version bump, bump version, bump package, adding dependency, new dependency, vetting a dependency, vet package, is this package safe, safe to install, should I install, before installing, pre-install check, preinstall scan, preinstal
process-compose-ops
by 0xDarkMatterProcess Compose orchestration for non-containerized local services. Use for: process-compose.yaml schema, replacing PM2/supervisord/Foreman, health checks (readiness_probe, liveness_probe), restart policies (always/exit_on_failure/no), process dependencies (depends_on conditions), TUI navigation and shortcuts (F4 maximize, Tab panes, r/s/t process control), REST API and MCP server integration, headless mode (-t=false for daemons), per-process and consolidated logging (log_location), cron and interval scheduling (availability.schedule), namespace grouping for multi-stack composition, environment variable handling (env files, secrets), Windows Task Scheduler boot persistence, supply-chain verified single-binary install, multi-replica processes, foreground/serial execution patterns, dry-run validation, project update (hot reload without restart), process restart/stop/start via CLI or TUI, log tailing and follow modes, shutdown timeouts and signals, agent-friendly MCP tools for process control.
perf-ops
by 0xDarkMatterPerformance profiling and optimization orchestrator - diagnoses symptoms, dispatches profiling to language experts, manages before/after comparisons. Triggers on: performance, profiling, flamegraph, pprof, py-spy, clinic.js, memray, heaptrack, bundle size, webpack analyzer, load testing, k6, artillery, vegeta, locust, benchmark, hyperfine, criterion, slow query, EXPLAIN ANALYZE, N+1, caching, optimization, latency, throughput, p99, memory leak, CPU spike, bottleneck.
rest-ops
by 0xDarkMatterQuick reference for RESTful API design patterns, HTTP semantics, caching, and rate limiting. Triggers on: rest api, http methods, status codes, api design, endpoint design, api versioning, rate limiting, caching headers.
vue-ops
by 0xDarkMatterVue 3 development patterns, Composition API, Pinia state management, Vue Router, and Nuxt 3. Use for: vue, vuejs, composition api, pinia, vue router, nuxt, nuxt3, script setup, composable, reactive, defineProps, defineEmits, defineModel, v-model, provide inject, vue3.
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.