Agent Skills Hub is a global library of AI agent skills that work across OpenClaw, Claude Code, Gemini, Cursor, Antigravity, and more.
# Add to your Claude Code skills
git clone https://github.com/agent-skills-hub/agent-skills-hubGuides for using ai agents skills like agent-skills-hub.
Last scanned: 9/16/2026
{
"issues": [
{
"type": "npm-audit",
"message": "yaml: yaml is vulnerable to Stack Overflow via deeply nested YAML collections",
"severity": "medium"
}
],
"status": "PASSED",
"scannedAt": "2026-09-16T09:08:35.138Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how agent-skills-hub compares with popular alternatives.
agent-skills-hub is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by agent-skills-hub. Agent Skills Hub is a global library of AI agent skills that work across OpenClaw, Claude Code, Gemini, Cursor, Antigravity, and more. It has 100 GitHub stars.
Yes. agent-skills-hub passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/agent-skills-hub/agent-skills-hub" and add it to your Claude Code skills directory (see the Installation section above).
agent-skills-hub is primarily written in Python. It is open-source under agent-skills-hub on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh agent-skills-hub against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
agent-skills-hub vs everything claude code
See comparison
[![MIT License][license-shield]][license-url]

Agent Skills Hub is a centralized, open-source registry of agentic skills — reusable, structured instructions that teach AI agents how to actually do things correctly.
Think of skills as plugins for reasoning:
This repository is shipped as an NPX-first CLI, making skills instantly installable into popular agent environments.
If prompts are what to do,
skills are how to do it right.
Modern AI agents are powerful generalists, but they lack:
Agent Skills solve this gap.
Each skill is a Markdown-based definition that can teach an agent:
Skills work across Claude Code, Gemini CLI, Cursor, Kiro, Codex, Antigravity, OpenCode, AdaL, and more.
The fastest way to get started is via NPX.
# Install skills globally (default: ~/.agent/skills)
npx agent-skills-hub
This installs the full skill registry in a global location that most agents can read from.
For repo-aware agents, you can keep skills inside your project.
Create a skills/ directory at your project root:
git clone https://github.com/legendaryabhi/agent-skills-hub.git ./skills
Each skill folder must contain a SKILL.md file.
Supported agents will automatically detect and load local skills at runtime, giving your agent full project context without any extra configuration.
Priority rule: Project-local skills override global skills when both exist.
Install skills directly into agent-specific locations:
# Claude Code
npx agent-skills-hub --claude
# Gemini CLI
npx agent-skills-hub --gemini
# Cursor IDE
npx agent-skills-hub --cursor
# Kiro CLI/IDE
npx agent-skills-hub --kiro
# Codex CLI
npx agent-skills-hub --codex
# Antigravity IDE
npx agent-skills-hub --antigravity
# OpenCode CLI
npx agent-skills-hub --opencode
# AdaL CLI
npx agent-skills-hub --adal
# OpenClaw
npx agent-skills-hub --openclaw
| Tool | Flag | Install Path |
|---|---|---|
| Claude Code | --claude |
~/.claude/skills/ |
| Gemini CLI | --gemini |
~/.gemini/skills/ |
| Cursor IDE | --cursor |
~/.cursor/skills/ |
| Kiro CLI/IDE | --kiro |
~/.kiro/skills/ |
| Codex CLI | --codex |
~/.codex/skills/ |
| Antigravity | --antigravity |
~/.gemini/antigravity/skills/ |
| OpenCode | --opencode |
~/.agents/skills/ |
| AdaL CLI | --adal |
~/.adal/skills/ |
| OpenClaw | --openclaw |
~/.openclaw/skills/ |
| Custom | --path <dir> |
<dir> |
npx agent-skills-hub install react-patterns
npx agent-skills-hub install react-patterns --cursor
This installs only the requested skill instead of the full registry.
If you prefer full control:
git clone https://github.com/legendaryabhi/agent-skills-hub.git ~/skills
You can then:
skills/ folderUsage depends on your agent framework.
OpenClaw automatically loads skills from:
~/.openclaw/skills
Once installed, skills are injected at runtime.
Claude Code reads skills from:
~/.claude/skills
Example:
/load @react-best-practices
Help me refactor this component using the loaded patterns.
Install skills to:
~/.cursor/skills
Reference them in chat:
@react-best-practices How should I structure this useEffect?
Gemini CLI using react-patterns skill from Agent Skills Hub
npx agent-skills-hub install react-patterns --gemini
https://github.com/user-attachments/assets/f01c532e-7f21-4543-8bed-ab8a4ecfe288
PRs with demos are highly welcome.
We currently maintain 790+ skills across multiple domains.
Browse the full catalog: CATALOG.md
system-design, c4-model, microservicesreact-patterns, typescript-expert, python-optimizationowasp-top-10, pentest-checklistdocker-mastery, kubernetes-debugseo-audit, startup-analysisSee the open issues.
We’re building the open standard for agent skills.
SKILL.md:See CONTRIBUTING.md for full guidelines.
Distributed under the MIT License.
See LICENSE for details.
This project is built on top of
antigravity-awesome-skills MIT license.
On top of the original work, I have added:
See ATTRIBUTION.md for full credits.
Thanks to the original authors for laying the foundation.