About Agentskills
Agentskills is an MCP server published by agentskills in the Developer Tools category: specification and documentation for Agent Skills.
The repository has 26K stars and 2.0K forks, with the last commit 2 months ago. Recent commit activity is the strongest signal that reported issues will get attention.
Install
git clone https://github.com/agentskills/agentskillsThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about Agentskills
Powered by Claude · Grounded in docs
Security checks
Static checks derived from the repository 7 hours ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- ✓Tests presentA test suite exists in the repository.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
README
Agent 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.
README fetched from the repository 7 hours ago. The original is authoritative.