agent-builder

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.

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.

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.

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.

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.

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.