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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climate-responsive-design
by Amanbh997Apply climate-specific urban design strategies for hot-arid, tropical, temperate, and cold climates. Covers building orientation, street alignment, shading strategies, wind management, vegetation selection, urban heat island mitigation, stormwater management, and thermal comfort in outdoor spaces. Use when the user specifies a climate zone, asks about climate-responsive design, needs orientation advice, asks about heat island mitigation, discusses thermal comfort, or designs for extreme weather conditions. Also use for microclimate analysis, wind corridor design, or solar access optimization.
masterplan-design
by Amanbh997Generate complete urban masterplans with spatial structure, land use distribution, street network, block layout, density strategy, phasing plan, and implementation framework. Use when the user asks to design a masterplan, create an urban layout, develop a neighborhood plan, design a district, plan a new community, lay out a development, structure an urban area, or create a site plan at the urban scale. Also use when the user provides a site and asks for a development proposal, a design concept, or a spatial framework. Handles greenfield, brownfield, and infill development scenarios.
public-space-design
by Amanbh997Design parks, plazas, waterfronts, pocket parks, civic spaces, playgrounds, and urban gardens using Jan Gehl quality criteria, PPS placemaking methodology, and global best practices. Use when the user asks to design a park, create a plaza, plan a waterfront, design a civic space, lay out a playground, plan a community garden, create an outdoor gathering space, design a public realm strategy, or improve an existing public space. Also use when discussing public space programming, activation strategies, or landscape design at the urban scale.
street-design
by Amanbh997Design complete streets with proper cross-sections, lane allocation, pedestrian and cycling infrastructure, intersection design, and streetscape elements using NACTO and global standards. Use when the user asks to design a street, create a cross-section, determine road width, design an intersection, plan a bike lane, design a sidewalk, create a boulevard, design a shared street, plan traffic calming, or specify streetscape elements. Also use for street hierarchy classification, right-of-way allocation, or any question about street dimensions and standards.
tod-design
by Amanbh997Design transit-oriented developments using ITDP TOD Standard, global best practices, and density-distance gradient principles. Use when the user asks to design around a transit station, create a TOD plan, optimize development near transit, plan a transit district, design a station area, or develop around a metro stop, BRT station, tram stop, or rail station. Also use when discussing walk catchments around transit, density gradients from stations, or first-last mile connectivity.
urban-design-foundations
by Amanbh997Comprehensive urban design knowledge base containing theories, principles, quantitative standards, and rules of thumb from 40+ theorists and global frameworks. Provides foundational knowledge for all urban design tasks including masterplanning, site analysis, street design, public space design, density calculations, and sustainability assessment. Automatically activates whenever the conversation involves urban design, city planning, urban morphology, placemaking, walkability, transit-oriented development, mixed-use development, zoning, building typologies, streetscapes, public realm, neighborhood design, district planning, or any AEC topic at the urban scale. Covers Kevin Lynch, Jane Jacobs, Christopher Alexander, Jan Gehl, Gordon Cullen, Camillo Sitte, Andres Duany, Leon Krier, Ian Bentley, New Urbanism, Smart Growth, Complete Streets, 15-Minute City, Space Syntax, CPTED, and all major sustainability certifications.
urban-regeneration
by Amanbh997Urban regeneration, brownfield redevelopment, heritage-led renewal, and neighborhood revitalization strategies. Covers site remediation assessment, adaptive reuse frameworks, catalyst project design, gentrification risk management, community engagement methodology, incremental urbanism, and phased delivery of regeneration programs. Use when the user asks about brownfield development, urban renewal, regeneration strategy, adaptive reuse, heritage-led regeneration, gentrification, community-led development, vacant land strategy, post-industrial redevelopment, waterfront regeneration, neighborhood decline, blight remediation, infill development, meanwhile use, temporary urbanism, or revitalizing an existing urban area. Also use for regeneration feasibility, stakeholder engagement in regeneration projects, or comparing regeneration approaches.
urban-planner-analyst
by rysweetAnalyzes urban development through planning lens using zoning, land use, comprehensive planning, and transit-oriented development frameworks. Provides insights on spatial organization, infrastructure, sustainability, and livability. Use when: Urban development projects, zoning decisions, transportation planning, sustainability initiatives. Evaluates: Land use patterns, density, accessibility, environmental impact, community needs.
history
by DreamLab-AINeighborhood context and history — adjacent uses, architectural character, landmarks, commercial activity, and planned development from an address.
zoning-analysis-nyc
by DreamLab-AIAnalyze zoning envelope rules for lots in New York City using PLUTO data and the NYC Zoning Resolution
architecture-rendering
by eachlabsGenerate photorealistic architectural renders and visualizations using each::sense AI. Create exterior views, interior renders, sketch-to-render conversions, and more for architects, designers, and real estate professionals.
sun-path
by j0x7c4Analyzes sunlight and shadows for architectural design, generating sun path diagrams, solar position data, shadow plots, and thermal comfort charts. Triggered by requests about sun position, shadow analysis, annual sun hours, or diagrams for a specific location and time.
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.