# Atomadic Fuse

> Use this tool when you need to analyze and understand complex software architectures across multiple languages and repositories. Atomadic Fuse extracts reusable logic components and maps product chains, providing structured context for automated analysis and development workflows. It integrates with the Atomadic platform to enable agent-driven software engineering, solving problems of codebase complexity and facilitating efficient development workflows.

Canonical page: https://skillsregistry.net/skills/atomadic-fuse  
JSON: https://api.skillsregistry.net/v1/skills/atomadic-fuse

## Description

Atomadic Fuse is a polyglot compiler that extracts reusable logic components — called logic atoms — from multi-language codebases, enabling AI agents to understand and traverse complex software architectures. It maps product chains across services and repositories, providing structured context for automated analysis and development workflows. Fuse integrates with the Atomadic platform for agent-driven software engineering.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/atomadic-fuse)

## 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": "atomadic-fuse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atomadic-fuse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atomadic-fuse/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