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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james-edgar-green
by vanitiesVoice reference for James Edgar Green ("Brother Jim"), Adam's grandfather — a Church of Christ gospel preacher. Built from his surviving narrative sermon "The Day Christ Came." Use when drafting devotionals in his voice (especially judgment / second-coming / "obey now" themes), wanting his narrative-preaching cadence, checking a draft against his theology, or discussing his preaching. Sits beside the matt-bassford skill. Archive at speakers/james-edgar-green/.
custom-devotional-crafter
by vanitiesCreate, refine, and publish custom (hand-authored) daily devotionals for SwiftBible. Use when the user wants help drafting a devotional with verse selection, structure checks, or refining tone — and when they want to upsert it into the Supabase `Daily Devotional` table with `devotional_type: "custom"`.
financial-snapshot
by vanitiesFetch the consolidated financial snapshot for a given tax year from a DocVault instance (tax docs, sales, mileage, retirement, brokerage, crypto, bank accounts, real estate). Use when the user wants a year overview, tax estimates, deduction review, or a snapshot feeding downstream strategy skills.
health-analysis
by vanitiesGenerate a comprehensive health analysis combining labs, DNA, activity data, supplement regimen, and sickness log into actionable interpretation. Save to DocVault so the reasoning is persistent and revisitable. Use when the user wants to look at how they're trending, make a health decision, or have a structured conversation with Claude about their data.
strudel-genres
by vanitiesGenre blueprints for electronic music — tempo ranges, drum-pattern signatures, bass character, structure, key sounds, and the one defining rule for each genre. Use when writing a techno/house/dnb/ambient/trance/IDM/dubstep/synthwave/lo-fi/downtempo/trip-hop track, asking "what BPM for X", "make it sound like [genre]", or needing genre conventions before composing. Distinct from the style-* skills (individual producers); this is the shared construction grammar every producer in that genre follows.
strudel-groove
by vanitiesThe craft of rhythm and groove in electronic music — why a beat feels good (or stiff). Covers swing/shuffle, the pocket, drum programming by genre (house, techno, hip-hop, jungle/DnB), ghost notes and velocity dynamics, humanization vs. quantization, polyrhythm and polymeter via Euclidean patterns, and the kick-bass lock. Use when the beat feels stiff or robotic, the drums need life, you want to add swing or shuffle, you're programming a drum pattern for a specific genre, or anything about ghost notes, groove, velocity, feel, pocket, polyrhythm, or making drums human.
strudel-sampling
by vanitiesThe craft of sampling and resampling in modern electronic music — chopping/slicing breaks to tempo, granular texture, time-stretch, flipping and layering samples, the sample-based workflow (Bonobo tail-sampling, DJRUM generational resampling, Skee Mask break-processing), and resampling your own Strudel output. Use when chopping a break, flipping a sample, building granular texture, working with amen/breaks165/amen1-3, reaching for the DSR tail of a sample, layering samples by frequency zone, or asking "how do I resample". Non-obvious working-producer knowledge. Complements [[strudel-modifiers]] (full method catalog), [[strudel-effects]] (filters/reverb), [[strudel-sample-library]] (what's loaded), [[strudel-groove]] (break-chopping as groove strategy), [[strudel-sound-design]] (layering philosophy), [[strudel-pro-tips]] (high-leverage shortlist).
strudel-mixing
by vanitiesThe craft of making a mix sound pro and clear — frequency carving so each voice owns a band, low-end (kick vs. bass pocket, mono sub, sub vs. mid-bass), gain-staging and headroom, sidechain/ducking, panning and stereo width, depth via reverb/delay (front-to-back layers), and why amateur mixes sound muddy or flat. Use when the mix is muddy, things are fighting, gain-staging, EQ, low end, sidechain, it sounds flat, it sounds cluttered, too much reverb, nothing has space, or voices are masking each other.
strudel-sound-design
by vanitiesThe craft of synthesis for electronic music — subtractive signal flow (osc → filter → amp), waveform character and when to use each, ADSR + filter envelopes for movement, FM synthesis and harmonicity ratios, detune/unison for width, sub/body/air layering, saturation and "expensive" sound. Use when a synth sounds thin, cheap, or static; when you need to design a pad / bass / lead / pluck; when FM tones are wanted; when someone says "fatten it", "add movement", "make it breathe", or "the filter sounds dead". Complements [[strudel-effects]] (filter/reverb mechanics) and [[strudel-pro-tips]] (the shortlist of high-leverage moves).
style-bonobo
by vanitiesProduction lens for Bonobo-style tracks — organic samples, justified layers, call-and-response phrasing. Use when writing or critiquing a track that needs warmth, restraint, and humanity. Reference album Black Sands (2010). BPM range 90-140 (wider than commonly assumed), bright spectrum (median centroid 1952 Hz), modest dynamic range (~5× typical) with title-track exception that opens in real silence.
strudel-harmony
by vanitiesThe craft of harmony and chord progressions for modern electronic and cinematic music — which progressions work and WHY, voice leading, borrowed chords, modal interchange, extended voicings (7ths, 9ths, sus), cadence and resolution, emotional function, key/mode choice. Use when someone asks "what chords", "a progression for", "make it sound sad/hopeful/epic/dark/dreamy", "what key or mode should I use", "voicing", "how to borrow a chord", "why does this feel off", or wants to move beyond basic triads.
blender-character-video
by vanitiesBuild and iterate Blender music videos that feature a person/humanoid character: imported low-poly/game rigs, face/eyes, hair, clothing, accessories, body proportions, pose approval, and final-video promotion. Use when the brief includes a person, humanoid, witch, dancer, character model, face, eyes, hair, outfit, body shape, hands, arms, or a character riding/flying/performing in a Blender video.
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.