create-atomic-tool
SkillBuild 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/searc
Install
git clone https://github.com/BrainBlend-AI/atomic-agents.git ~/.claude/skills/create-atomic-toolWhat is create-atomic-tool?
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`.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~90 tokens of context used while enabled, before you invoke anything
Trust
91/100 · Excellent2 factors scored below maximum
Documentation
README · ~5 min readCreate an Atomic Agents Tool
A tool is a deterministic capability an agent can invoke. In Atomic Agents, every tool is a BaseTool[InSchema, OutSchema] subclass with a typed run() (and optional run_async()). The input/output schemas double as the tool's signature for the LLM and as Pydantic validation at runtime.
For deep material (MCP interop, distributing as a standalone package, advanced error patterns), the authority is ../framework/references/tools.md. This skill is the action-oriented path: clarify → write → verify.
When this fires vs the umbrella framework skill
- This skill: the user is creating a specific tool — wrapping an API, building a calculator, scraping a page, querying a DB.
frameworkskill: questions about Atomic Agents in general, or the user is doing something other than authoring a tool.
Phase 1 — Clarify
Bundle into one message:
- What does the tool do? One sentence. This becomes the class docstring and feeds the LLM's tool description.
- Inputs and outputs. Names, types, units. If unclear, propose a schema pair and confirm.
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