New Atomic Agents Project

Scaffold a fresh Atomic Agents project. The result is a single-package Python project with one working agent, one schema pair, a provider-wrapped client, and a runnable main.py.

This skill is opinionated. Produce a complete, tested skeleton the user can run immediately.

Phase 1, Interrogate

Ask these questions in one message, not one-at-a-time. Skip any the user already answered (including via $ARGUMENTS).

1. Project name, used as both directory name and package name. Default from $ARGUMENTS if provided. Normalize to kebab-case for the directory and snake_case for the package.
2. LLM provider, OpenAI / Anthropic / Groq / Ollama / Gemini / OpenRouter / MiniMax. Default: OpenAI.
3. Agent type, a rough one-liner. Shapes the default SystemPromptGenerator content and the starter schema pair. Defaults to a generic chat agent.
4. Tooling, uv (default, because the repo uses uv) or pip + venv.

Do not ask about project layout, Python version, or dependency list. Pick them.

Phase 2, Confirm the plan

State the plan in one short block and wait for a yes. Include:

• Directory: <project-name>/
• Package: <project_name>/
• Python: >=3.12 (Atomic Agents uses PEP 695 generics)
• Dependencies: atomic-agents>=2.7, instructor[<provider-extra>]>=1.14, python-dotenv, rich
• Dev dependencies: pytest, pytest-asyncio, ruff
• First agent: <agent-type>, uses BasicChatInputSchema/BasicChatOutputSchema unless the agent type calls for custom schemas
• Default model for the chosen provider (see framework/references/providers.md)
• Entry point: main.py with a REPL

Phase 3, Scaffold

Create files in this order. Verify each step before proceeding.

Directory and package

<project-name>/
├── pyproject.toml
├── .env.example
├── .gitignore
├── README.md
├── AGENTS.md
├── CLAUDE.md
└── <project_name>/
    ├── __init__.py
    └── main.py

pyproject.toml