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Agent Rig System

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Organize and power AI agents with modular riglets.

Content & Communication#ai agent#nix#knowledge#modular#rig#riglet
AuthorYPares
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It enables structured assembly of knowledge, instructions, and tools for AI agents, promoting modularity and reusability.

Core Features & Use Cases

  • Riglet Packaging: Encapsulates executable knowledge with relevant metadata, tools, and documentation for AI workflows.
  • Rig Composition: Allows combining multiple riglets into comprehensive rigs with declarative configurations.
  • Use Case: Build an AI agent with custom riglets for data analysis, coding assistance, and documentation, then load and activate them efficiently.

Quick Start

Use rigup to assemble and explore riglets for your AI project, starting by running 'rigup show' or 'rigup shell' to interact with the rig environment.

Dependency Matrix

Required Modules

None required

Components

referencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Agent Rig System
Download link: https://github.com/YPares/rigup.nix/archive/main.zip#agent-rig-system

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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