About Agent Skills Search Server
Agent Skills Search Server helps AI agent developers search and discover reusable skills in the skills.sh registry. It is presented as an HAPI-based MCP server.
Key features
- 01Search skills.sh entries
- 02Discover reusable agent skills
- 03Serve registry search through HAPI
Use cases
- 01Find skills for an agent workflow
- 02Explore available skills before integration
MCP support
This HAPI-based MCP server exposes skills.sh registry search and discovery to MCP clients.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://skills-sh.run.mcp.com.ai/mcpclaude mcp add --transport http ai-com-mcp-skills-search https://skills-sh.run.mcp.com.ai/mcp{"mcpServers":{"ai-com-mcp-skills-search":{"type":"http","url":"https://skills-sh.run.mcp.com.ai/mcp"}}}Open in Cursor{"servers":{"ai-com-mcp-skills-search":{"type":"http","url":"https://skills-sh.run.mcp.com.ai/mcp"}}}Open in VS Code{"mcpServers":{"ai-com-mcp-skills-search":{"type":"http","url":"https://skills-sh.run.mcp.com.ai/mcp"}}}{"mcpServers":{"ai-com-mcp-skills-search":{"serverUrl":"https://skills-sh.run.mcp.com.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEAgent Skills
A standardized way to give AI agents new capabilities and expertise.
What are Agent Skills?
Agent Skills are a lightweight, open format for extending AI agent capabilities with specialized knowledge and workflows.
At its core, a skill is a folder containing a SKILL.md file. This file includes metadata (name and description, at minimum) and instructions that tell an agent how to perform a specific task. Skills can also bundle scripts, reference materials, templates, and other resources.
my-skill/
├── SKILL.md # Required: metadata + instructions
├── scripts/ # Optional: executable code
├── references/ # Optional: documentation
├── assets/ # Optional: templates, resources
└── ... # Any additional files or directories
Why Agent Skills?
Agents are increasingly capable, but often don't have the context they need to do real work reliably. Skills solve this by packaging procedural knowledge and company-, team-, and user-specific context into portable, version-controlled folders that agents load on demand. This gives agents:
- Domain expertise: Capture specialized knowledge — from legal review processes to data analysis pipelines to presentation formatting — as reusable instructions and resources.
- Repeatable workflows: Turn multi-step tasks into consistent, auditable procedures.
- Cross-product reuse: Build a skill once and use it across any skills-compatible agent.
How do Agent Skills work?
Agents load skills through progressive disclosure, in three stages:
-
Discovery: At startup, agents load only the name and description of each available skill, just enough to know when it might be relevant.
-
Activation: When a task matches a skill's description, the agent reads the full
SKILL.mdinstructions into context. -
Execution: The agent follows the instructions, optionally executing bundled code or loading referenced files as needed.
Full instructions load only when a task calls for them, so agents can keep many skills on hand with only a small context footprint.
Where can I use Agent Skills?
Agent Skills are supported by a large number of AI tools and agentic clients — see the Client Showcase to explore some of them!
Getting started
- Documentation — Guides and tutorials
- Specification — Format details
- Example Skills — See what's possible
- Discord — Share what you're building!
Open development
The Agent Skills format was originally developed by Anthropic, released as an open standard, and has been adopted by a growing number of agent products. The standard is open to contributions from the broader ecosystem — see CONTRIBUTING.md for how to get involved.
License
Code in this repository is licensed under Apache 2.0. Documentation is licensed under CC-BY-4.0. See individual directories for details.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.