BrainBlend-AIOfficial·8 Agent Skills Included

atomic-agents

Build predictable, schema-driven AI agents and tools in Python

Builds modular AI agents with typed input and output schemas, structured prompts, memory, and tool calling. Removes unpredictable agent behavior, messy prompt handling, and fragile LLM integrations across providers like OpenAI, Anthropic, and Gemini. Includes ready-made skills to scaffold projects, create agents, tools, schemas, and context providers, plus troubleshooting guides for faster development.

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npx skills add BrainBlend-AI/atomic-agents --all -g -y

Available:

Orients the AI agent on the monorepo structure, core framework architecture, and coding conventions so it can navigate and modify the Atomic Agents codebase correctly.

All Skills in This Repository (8)

Pure Emerald Level Indicators

📦 In Repo

BrainBlend-AI

new-app

Scaffolds a new Atomic Agents Python project with pyproject.toml, agent, and runnable entry point.

troubleshoot

Diagnose and fix failing Atomic Agents apps by matching errors to known causes.

framework

Guides building agents, schemas, tools, and orchestration with the Atomic Agents Python framework.

create-atomic-agent

Builds and wires AtomicAgent instances with schemas, provider clients, and system prompts.

create-atomic-schema

Designs BaseIOSchema input/output pairs with docstrings, field descriptions, validators, and error variants for Atomic Agents.

create-atomic-tool

Creates typed BaseTool subclasses with Pydantic schemas for Atomic Agents.

create-atomic-context-provider

Creates BaseDynamicContextProvider classes that inject dynamic context into Atomic Agents system prompts.

release

Guide atomic-agents releases with version bumps, PyPI publishing, and GitHub releases.

Official

Advanced

Frequently Asked Questions

FAQPage Schema

How to install Atomic Agents?▼

Run `npx skills add BrainBlend-AI/atomic-agents --all -g -y` in your terminal to install all skills in this suite globally.

What is Atomic Agents used for?▼

It is a lightweight Python framework for building predictable AI agents with typed input and output schemas, structured prompts, memory, and tool calling on top of Instructor and Pydantic.

Which LLM providers does Atomic Agents support?▼

Through Instructor it works with OpenAI, Anthropic, Groq, Gemini, Mistral, Cohere, Ollama, and other compatible providers.

Can AI agents help me build with this framework?▼

Yes. The included skills let your AI assistant scaffold new projects, create agents, tools, schemas, and context providers, and troubleshoot common errors automatically.

Does Atomic Agents support multi-agent workflows?▼

Yes. It supports chaining agents into pipelines, router patterns, parallel execution, and shared memory through composable typed schemas.