Atomic Agents
Plugin Verified ActiveSkills plus explorer and reviewer subagents for building, scaffolding, understanding, and auditing applications with the Atomic Agents Python framework. Includes the umbrella `framework` skill, action-oriented `create-atomic-schema` / `create-atomic-agent` / `create-atomic-tool` / `create-atomic-context-provider` skills, the `new-app` scaffolder, progressive-disclosure reference material for prompts, orchestration, memory, hooks, providers, project structure, and testing, and isolated-context subagents for codebase mapping and code review.
To empower developers working with the Atomic Agents Python framework by providing contextual knowledge, scaffolding tools, and specialized agents for code analysis and review directly within Claude Code.
Features
- Framework guidance skill
- Code scaffolding for new projects
- Codebase exploration and mapping
- Atomic Agents code review subagent
- Schema, agent, tool, and provider creation skills
Use Cases
- Scaffolding a new Atomic Agents project from scratch.
- Understanding the structure and patterns of an existing Atomic Agents codebase.
- Reviewing Atomic Agents code for framework-specific correctness before committing.
- Adding new agents, tools, or context providers to an Atomic Agents application.
Non-Goals
- Replacing generic Python code review.
- Handling general LLM application development outside the Atomic Agents framework.
- Providing a runtime environment for Atomic Agents applications (this is a development-assistance plugin).
Installation
First, add the marketplace
/plugin marketplace add BrainBlend-AI/atomic-agents/plugin install atomic-agents@brainblend-pluginsContains 6 extensions
Skill (6)
Build and wire an `AtomicAgent[InSchema, OutSchema]` — schemas, `AgentConfig`, `SystemPromptGenerator`, provider client, history, hooks, optional context providers. Use when the user asks to "create an agent", "add another agent", "build an `AtomicAgent`", "wire up an agent", "make a planner/router/extractor agent", or runs `/atomic-agents:create-atomic-agent`.
Build a `BaseDynamicContextProvider` that injects a named, titled block into an agent's system prompt at every `run()` — current time, user identity, retrieved RAG docs, session state, cached DB schema. Use when the user asks to "add a context provider", "inject X into the prompt", "give the agent dynamic context", "wire up RAG", "make a `BaseDynamicContextProvider`", or runs `/atomic-agents:create-atomic-context-provider`.
Design and write a `BaseIOSchema` input/output pair for an Atomic Agents agent or tool — docstrings, field descriptions, validators, error variants. Use when the user asks to "create a schema", "design the input/output schema", "define an `IOSchema`", "write a `BaseIOSchema`", "model the agent's output", or runs `/atomic-agents:create-atomic-schema`.
Build a `BaseTool[InSchema, OutSchema]` subclass — input/output schemas, `BaseToolConfig`, `run()` (and optional `run_async()`), env-driven secrets, typed failure outputs. Use when the user asks to "add a tool", "create a tool", "wrap an API as a tool", "build a `BaseTool`", "make a calculator/search/weather tool", or runs `/atomic-agents:create-atomic-tool`.
Guide for the Atomic Agents Python framework — schemas, agents, tools, context providers, prompts, orchestration, and provider configuration. Use when code imports from `atomic_agents`, defines an `AtomicAgent`, `BaseTool`, or `BaseIOSchema`, or the user asks about multi-agent orchestration or LLM-provider wiring in an atomic-agents project.
Scaffold a new Atomic Agents project from scratch — create the directory, `pyproject.toml`, env file, first agent, and a runnable entry point. Use when the user asks to start a new atomic-agents project from scratch, says "scaffold" / "new project" / "start from zero", or runs `/atomic-agents:new-app`.
Quality Score
VerifiedTrust Signals
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