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agent-architect

Generate AI agent project structures and boilerplate code with Python scripts.

Updated Jun 16, 2026
Search Tags:#project setup#AI agent#scaffold#Python#boilerplate code
One-click install
npx skills add https://github.com/breakingcircuits1337/agent-skills --skill agent-architect-breakingcircuits1337
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-architect
Source: https://github.com/breakingcircuits1337/agent-skills/tree/main/agent-architect
Command: npx skills add https://github.com/breakingcircuits1337/agent-skills --skill agent-architect-breakingcircuits1337

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation of AI agent projects, eliminating the need to manually set up complex directory structures and code templates.

Core Features & Use Cases

  • Project Scaffolding: Generates a complete project structure with a configuration file and main Python entry point.
  • Boilerplate Code: Includes a pre-defined main.py and config.json to minimize setup time.
  • Customizable Templates: Allows customization of agent name, core instructions, and optional LLM model ID.
  • Use Case: Create a new specialized worker for AI project management, saving hours of initial project setup.

Quick Start

To create a new AI agent called "code_reviewer" with specific instructions, run: python3 scripts/scaffold_agent.py code_reviewer --instructions "Review code for security issues" --model gemini-2.5-flash --out ./agents/code_reviewer

Frequently Asked Questions about agent-architect

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

FAQPage Schema
How do I scaffold a new AI agent project in Python?▼

To scaffold an AI agent project, this Skill automatically generates the directory structure and boilerplate code, including a main Python entry point and config.json, using a Python script.

Can I customize the boilerplate code when generating an AI agent project?▼

Yes, you can customize the generated boilerplate code by passing arguments like agent name, core instructions, and an optional LLM model ID to the scaffolding script.

What do I need to set up an AI agent project structure?▼

Setting up an AI agent project structure requires a Python environment and basic familiarity with AI project layouts, as the script generates the main.py entry point and configuration file automatically.

What is the best way to reduce manual project setup for Python AI agents?▼

The best way to reduce manual project setup is using a scaffolding script that automatically generates pre-defined templates and boilerplate code, saving hours of initial configuration.

When should I avoid using an automated AI agent scaffold?▼

You should avoid using an automated scaffold if your project requires a highly custom directory structure that deviates significantly from a standard main.py and config.json setup.

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