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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bump-rust-sdk
by bitwardenThis skill should be used when the user asks to "bump the Rust SDK", "update sdk-internal", "bump bitwarden-crypto", "update RustSdk dependencies", "align server SDK with clients", or needs to update the bitwarden/sdk-internal git rev pins in util/RustSdk/rust/Cargo.toml. Provides the methodology for mapping client NPM versions to git commit SHAs, analyzing breaking changes, auditing the API surface, and verifying the bump end-to-end.
implementing-ef-core
by bitwardenImplementing Entity Framework Core repositories and migrations for PostgreSQL, MySQL, and SQLite at Bitwarden. Use when creating or modifying EF repositories, generating EF migrations, or working with non-MSSQL data access in the server repo. Also use when editing `EntityTypeConfiguration<T>` classes or debugging provider-specific LINQ translation issues.
implementing-dapper-queries
by bitwardenImplementing Dapper repository methods and stored procedures for MSSQL at Bitwarden. Use when creating or modifying Dapper repositories, writing stored procedures, or working with MSSQL-specific data access in the server repo. Also use when writing MSSQL migration scripts under `util/Migrator/DbScripts/` or touching SSDT schema under `src/Sql/dbo/`.
writing-server-code
by bitwardenBitwarden server code conventions for C# and .NET. Use when working in the server repo, creating commands, queries, services, or API endpoints. Also use when writing xUnit tests with `SutProvider`/`BitAutoData`, registering DI, or generating entity IDs.
writing-database-queries
by bitwardenBitwarden database architecture, migrations, and dual-ORM strategy. Use when working with `.sql` files, stored procedures, EF migrations, or database schema changes. Also use when deciding whether a change needs both Dapper and EF Core implementations, or whether a breaking stored-procedure change requires `_V2` versioning.
figma-to-angular
by bitwardenConverts Figma designs into production Angular components with Storybook stories for the Bitwarden Clients monorepo. Use this skill whenever the user provides a Figma URL and wants to create an Angular component, or mentions "implement this design", "create a component from Figma", "build this from the design spec", or similar. Also trigger when the user pastes a Figma link and asks for a component, even if they don't say "Figma" explicitly.
angular-modernization
by bitwardenModernizes Angular code such as components and directives to follow best practices using both automatic CLI migrations and Bitwarden-specific patterns. YOU must use this skill when someone requests modernizing Angular code. DO NOT invoke for general Angular discussions unrelated to modernization.
cipher-type-planner
by bitwardenPlans the creation or modification of a cipher type (vault item type) across the Bitwarden clients monorepo. Use this skill when a user wants to add a new cipher type, modify an existing cipher type, or asks about what is needed to implement a cipher type. DO NOT invoke for general vault or cipher questions unrelated to adding or changing a cipher type.
fix-angular-fixmes
by bitwardenResolves eslint-disable suppression comments throughout the Bitwarden clients codebase by fixing the underlying issue. Use when the user asks to "fix FIXMEs", "fix eslint suppressions", "clean up eslint-disable-next-line", "resolve CL-764", "resolve CL-903", "fix OnPush eslint suppressions", "fix Signals eslint suppressions", or reduce linting suppressions.
create-pull-request
by bitwardenPull request creation workflow for Bitwarden Clients. Use when creating PRs, writing PR descriptions, or preparing branches for review. Triggered by "create PR", "pull request", "open PR", "gh pr create", "PR description".
writing-client-code
by bitwardenBitwarden client code conventions for Angular and TypeScript. Use when creating components, services, or modifying web/browser/desktop apps.
create-hec-event-integration
by bitwardenUse when adding a new HEC (HTTP Event Collector) event integration to the Bitwarden web client. Implements the Splunk token authentication model (Bearer token + URI). Covers feature flag setup and card registration behind the flag. Does not apply to API key integrations or integrations requiring a custom connect dialog.
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.