# atomictoolkit

> Use this tool when you need to streamline complex workflows or automate tasks across diverse digital environments. It executes modular tasks through a collection of small, powerful utilities that can be composed into efficient processes. Ideal for enhancing automation capabilities, it accepts varied inputs and produces customized outputs to solve workflow optimization problems.

Canonical page: https://skillsregistry.net/skills/science-mcp-atomictoolkit  
JSON: https://api.skillsregistry.net/v1/skills/science-mcp-atomictoolkit

## Description

Execute modular tasks with a collection of small, powerful utilities. Streamline complex workflows by composing atomic actions into efficient processes. Enhance automation capabilities across diverse digital environments.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/science/mcp-atomictoolkit)
- **Repository:** <https://github.com/XirtamEsrevni/mcp-atomictoolkit>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "science-mcp-atomictoolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/science-mcp-atomictoolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/science-mcp-atomictoolkit/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt