Skills · Community project

Agentic Awesome Skills

A large community Skill catalog and local discovery toolkit with a CLI, MCP server, plugins, and Workbench.

45.0k StarsMIT + content licensesPythonUpdated 5 days ago
01

Project overview

A large community Skill catalog and local discovery toolkit with a CLI, MCP server, plugins, and Workbench. Its core areas include Skill discovery, Local catalog, Stack planning. Start with the repository documentation and the smallest practical scope before adopting it broadly.

02

Core capabilities

01

Skill discovery

Adds a repeatable workflow or integration for Skill discovery.

02

Local catalog

Adds a repeatable workflow or integration for Local catalog.

03

Stack planning

Adds a repeatable workflow or integration for Stack planning.

03

Installation and usage

This usage path is based on the current public documentation for Agentic Awesome Skills. Complete the steps in order before using it from your agent.

AI AGENT INSTALL

Let an AI Agent install it

Send this prompt to Codex, Claude Code, or another AI agent that can work with your local environment.

Help me install this Skill: Agentic Awesome Skills
Project URL: https://github.com/sickn33/antigravity-awesome-skills

Read the README and installation files first, confirm the current environment and target directory, then follow the project's documented installation method. Run a minimal verification task afterward and report the install location, steps, and result. Ask before requesting credentials, additional permissions, overwriting files, or performing risky actions.
01Before you start
  • Prepare a compatible agent or runtime
  • Confirm access to the local files or services required by the project
02Copy the install command or configuration
Project URL: https://github.com/sickn33/antigravity-awesome-skills
Copy the URL and follow the steps below to complete setup.
03Complete the setup steps
  1. 1
    Apply the configuration

    Use the command or configuration above to add the resource to the current agent environment.

  2. 2
    Complete required setup

    Complete path, permission, or connection settings for the current runtime.

  3. 3
    Run a minimal task

    Run a minimal task in the agent. If the resource is recognized and returns the documented type of result, the setup is active.

How to verify the setup

Run a minimal task in the agent. If the resource is recognized and returns the documented type of result, the setup is active.

Before using it
  • The catalog is large, so each Skill's origin and license still need individual review.
04

Use cases

SCENARIO 01

You want to add a reusable professional workflow to an agent

SCENARIO 02

Your current task needs Skill discovery or Local catalog

05

Assessment

Why it may be useful

  • You want to add a reusable professional workflow to an agent
  • Your current task needs Skill discovery or Local catalog

What to know first

  • The catalog is large, so each Skill's origin and license still need individual review.
  • You want to use it in production without reading the repository documentation or reviewing permissions
06

README

Agentic Awesome Skills


Overview

A large community Skill catalog and local discovery toolkit with a CLI, MCP server, plugins, and Workbench. A local, agent-first control plane for catalog discovery, selection, stack validation, and planning.

Getting started

  • This usage path is based on the current public documentation for Agentic Awesome Skills. Complete the steps in order before using it from your agent.
  • Project focus: A large community Skill catalog and local discovery toolkit with a CLI, MCP server, plugins, and Workbench.
  • Published characteristics: Large catalog, CLI and MCP included, Community collection.
  • Run a minimal task in the agent. If the resource is recognized and returns the documented type of result, the setup is active.

Configuration

Project URL: https://github.com/sickn33/antigravity-awesome-skills
Copy the URL and follow the steps below to complete setup.
Read the complete README on GitHub