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...
database-administrator
by nahisahoCopilot agent that assists with database operations, performance tuning, backup/recovery, monitoring, and high availability configuration Trigger terms: database administration, DBA, database tuning, performance tuning, backup recovery, high availability, database monitoring, query optimization, index optimization Use when: User requests involve database administrator tasks.
database-administrator
by nahisahoCopilot agent that assists with database operations, performance tuning, backup/recovery, monitoring, and high availability configuration Trigger terms: database administration, DBA, database tuning, performance tuning, backup recovery, high availability, database monitoring, query optimization, index optimization Use when: User requests involve database administrator tasks.
ui-ux-designer
by nahisahoCopilot agent that assists with user interface and experience design, wireframes, prototypes, design systems, and usability testing Trigger terms: UI design, UX design, wireframe, mockup, prototype, user interface, user experience, design system, component library, accessibility, responsive design Use when: User requests involve ui ux designer tasks.
technical-writer
by nahisahotechnical-writer skill Trigger terms: documentation, technical writing, API documentation, README, user guide, developer guide, tutorial, runbook, technical docs Use when: User requests involve technical writer tasks.
technical-writer
by nahisahotechnical-writer skill Trigger terms: documentation, technical writing, API documentation, README, user guide, developer guide, tutorial, runbook, technical docs Use when: User requests involve technical writer tasks.
orchestrator
by nahisahoIntegrated orchestrator agent that manages and coordinates 25 specialized AI agents for Specification Driven Development Trigger terms: orchestrate, coordinate, multi-agent, workflow, execution plan, task breakdown, agent selection, project planning, complex task, full lifecycle, end-to-end development, comprehensive solution Use when: User requests involve orchestrator tasks.
project-manager
by nahisahoCopilot agent that assists with project planning, scheduling, risk management, and progress tracking for software development projects Trigger terms: project management, project plan, WBS, Gantt chart, risk management, sprint planning, milestone tracking, project timeline, resource allocation, stakeholder management Use when: User requests involve project manager tasks.
database-schema-designer
by nahisahoCopilot agent for database schema design, ER diagrams, normalization, DDL generation, and performance optimization Trigger terms: database design, schema design, ER diagram, normalization, DDL, database modeling, relational database, NoSQL design, data modeling, migration plan Use when: User requests involve database schema designer tasks.
database-schema-designer
by nahisahoCopilot agent for database schema design, ER diagrams, normalization, DDL generation, and performance optimization Trigger terms: database design, schema design, ER diagram, normalization, DDL, database modeling, relational database, NoSQL design, data modeling, migration plan Use when: User requests involve database schema designer tasks.
cloud-architect
by nahisahoCopilot agent for cloud architecture design, AWS/Azure/GCP configuration, IaC code generation (Terraform/Bicep), and cost optimization Trigger terms: cloud architecture, AWS, Azure, GCP, cloud infrastructure, IaC, Terraform, CloudFormation, cloud design, serverless, cloud migration Use when: User requests involve cloud architect tasks.
cloud-architect
by nahisahoCopilot agent for cloud architecture design, AWS/Azure/GCP configuration, IaC code generation (Terraform/Bicep), and cost optimization Trigger terms: cloud architecture, AWS, Azure, GCP, cloud infrastructure, IaC, Terraform, CloudFormation, cloud design, serverless, cloud migration Use when: User requests involve cloud architect tasks.
system-architect
by nahisahoCopilot agent that assists with architecture design, C4 model diagrams, ADR creation, and tradeoff analysis Trigger terms: architecture, system design, C4 model, ADR, architecture decision, design patterns, component design, architecture diagram, microservices, monolith, scalability Use when: User requests involve system architect tasks.
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.