agent-builder

Create adaptable AI agents using a reusable scaffold with templates and tools.

6|Updated Feb 25, 2026

Search Tags:#workflow #ai #agent #patterns #scaffold #coding

Ready to run

npx skills add https://github.com/archibate/archibate-skills --skill agent-builder-archibate

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-builder
Source: https://github.com/archibate/archibate-skills/tree/main/old-skills/trash-skills/agent-builder
Command: npx skills add https://github.com/archibate/archibate-skills --skill agent-builder-archibate

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, python-dotenv, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Design and build AI agents for any domain. This skill provides a clear scaffold, philosophy, and templates to accelerate creating autonomous agents, including planning, subagents, and skills.

Core Features & Use Cases

Provides a reusable agent scaffold with level-based templates (0-4) and core toolsets.
Includes references for agent philosophy and patterns to guide implementation across business, research, and creative tasks.
Includes a practical starter script (scripts) to bootstrap new agent projects quickly.

Quick Start

Run python scripts/init_agent.py <your-agent-name> to generate a new agent project and begin customization.

Frequently Asked Questions about agent-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build an AI agent with a reusable scaffold for coding or planning tasks?▼

You can scaffold an AI agent by running a starter script to generate a project structure with level-based templates and core toolsets. This reusable scaffold defines tools, prompts, and workflows to accelerate autonomous agent creation.

What are level-based templates in AI agent design patterns?▼

Level-based templates (0-4) in AI agent design are predefined structural tiers that guide agent complexity. They provide a reusable scaffold that scales from basic toolsets to advanced subagent workflows across business, research, and creative tasks.

Do I need Python and anthropic dependencies to deploy autonomous agents?▼

Yes, you need Python and anthropic dependencies to deploy autonomous agents using this scaffold. A minimal environment configured with python-dotenv and anthropic libraries is required to run and test the agent effectively.

Can I use this agent scaffold for research and business planning workflows?▼

Yes, you can use this agent scaffold for research and business planning workflows. It targets developers and researchers across coding, planning, and subagent scenarios, providing adaptable templates suitable for diverse domain tasks.

What is the best way to structure subagents and skills in an autonomous AI agent?▼

The best way to structure subagents and skills is using a scaffold with level-based templates and a core toolset. This design separates system prompts, tools, and workflows, providing example references for agent philosophy and patterns.

Why use a starter script to initialize an AI agent project instead of coding from scratch?▼

Using a starter script to initialize an AI agent project avoids coding from scratch by generating a pre-configured scaffold. It instantly sets up level-based templates and core toolsets, allowing immediate customization of prompts and workflows.