Connects Claude to the skills.sh registry so you can search and discover Agent Skills without leaving your workflow. Agent Skills are folders with a SKILL.md file that package domain expertise and procedural workflows into instructions agents can load on demand. The server exposes search operations over the registry, letting you find relevant skills by name or description, then pull them into context when needed. Reach for this when you want to browse available skills or discover capabilities other teams have published to the registry. Runs as a remote service at skills-sh.run.mcp.com.ai, so no local setup required.
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.
io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage
io.github.mikerawsonnz/llm-orchestration-agent
io.github.mikerawsonnz/authenticated-llm-agent
labforgedev/copilot-memory-mcp
csoai-org/agent-prompt-injection-firewall-mcp
io.github.mikerawsonnz/authenticated-multi-llm-agent