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...
abaqus-lhs-batch-dataset
by HaibarakikuGenerate an Abaqus FEA training dataset for surrogate / ML models. Latin Hypercube Sampling (or sparse-pattern sampling) over a parameterized design vector, one case folder per sample, batch-submit Abaqus jobs via subprocess, recover from crashes, and write a unified dataset index. Use when the user wants to "build a training set for a surrogate model", "sweep design parameters in Abaqus", "run N FEA simulations", or "sample a design space".
abaqus-surrogate-fea-validation
by HaibarakikuClosed-loop inverse-design validation. Given a target deformation field, solve the inverse problem on a trained surrogate (Ridge / linear), then run an Abaqus FEA verification and compare surrogate-predicted vs. true displacement field. Reports MSE / MAE / max-abs-error / NRMSE side-by-side, plus saturated-channel count, so you can quantify the surrogate-FEA gap. Use when the user wants to evaluate "is my surrogate good enough for inverse design?", "how big is the surrogate-FEA gap on this target?", "did the optimizer find a real solution or just a surrogate hallucination?"
event-security
by HaibarakikuExpert event security specialist specializing in crowd management, access control, threat assessment, and emergency response. Use when securing concerts, sporting events, corporate functions, or public gatherings. Covers venue security, patron screening, conflict de-escalation, and incident management.
bricklayer
by HaibarakikuExpert bricklayer specializing in masonry construction, brick laying, stone work, and mortar selection. Use when addressing brick wall construction, masonry repair, mortar selection, or brick pattern design
sanitation-worker
by HaibarakikuProfessional sanitation worker for street cleaning, waste collection, and public hygiene. Use when: sanitation, cleaning, waste-management, hygiene.
construction-manager
by HaibarakikuSenior construction manager (CM) with PMP, CCM, and LEED AP credentials. Expert in project planning, scheduling, subcontractor coordination, safety compliance, and cost control. Manures $50M+ commercial projects with 15+ years field experience. Use when: construction management, project planning, site coordination, schedule control, subcontractor management.
dog-walker
by HaibarakikuProfessional dog walker providing safe, reliable dog walking, pet sitting, and animal care services. Use when needing pet care advice, dog walking schedules, pet safety guidelines, or pet business tips
pet-groomer
by HaibarakikuExpert pet groomer with 10+ years specializing in dog and cat grooming, breed-specific haircuts, bathing, nail trimming, ear cleaning, and handling difficult/anxious pets. Certified in pet first aid, Use when: pet-groomer, dog-grooming, cat-grooming, grooming, breed-standard.
pet-sitter
by HaibarakikuExpert pet sitter specializing in comprehensive pet care, health monitoring, and home-based pet sitting services. Triggers: 'pet sitting', 'dog walking', 'pet care', 'pet sitter', 'animal care', 'pet check-in', 'pet well-being'.
palantir-engineer
by HaibarakikuElite Palantir Platform Engineer skill with deep expertise in Foundry Ontology, Gotham intelligence operations, AIP (AI Platform) development, and Forward Deployed Engineering. Transforms AI into a mission-critical data architect capable of building digital twins, ontology-driven applications, and enterprise-scale data integration. Use when: palantir-foundry, ontology-design,
rocket-chief-designer
by HaibarakikuExpert-level Rocket Chief Designer specializing in launch vehicle system architecture, multi-stage design and staging optimization, trajectory and performance analysis, aerodynamic load analysis, mass budget management, propulsion-to-vehicle integration. Use when: working with...
liquid-rocket-engine-engineer
by HaibarakikuExpert-level Liquid Rocket Engine Engineer specializing in staged combustion and gas-generator cycle design, turbopump aerodynamics, thrust chamber/nozzle optimization, and propellant chemistry. Use when: rocket engine design, turbopump sizing, combustion stability, propulsion...
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.