Server data from the Official MCP Registry
Search and discover Agent Skills from the skills.sh registry. Powered by HAPI MCP server.
Search and discover Agent Skills from the skills.sh registry. Powered by HAPI MCP server.
Remote endpoints: streamable-http: https://skills-sh.run.mcp.com.ai/mcp
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-com-mcp-skills-search": {
"url": "https://skills-sh.run.mcp.com.ai/mcp"
}
}
}From the project's GitHub README.
A standardized way to give AI agents new capabilities and expertise.
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
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:
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.md instructions 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.
Agent Skills are supported by a large number of AI tools and agentic clients — see the Client Showcase to explore some of them!
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.
Code in this repository is licensed under Apache 2.0. Documentation is licensed under CC-BY-4.0. See individual directories for details.
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