# organon

> organon — andrii-su-organon. Use this tool when you need to transform your filesystem into a dynamic knowledge graph, enabling seamless interaction between humans and AI agents. It solves problems of data siloing and disconnected information, providing a unified interface for local-first semantic file management. By integrating with git, organon accepts file system inputs and outputs a living knowledge graph, ideal for use cases requiring collaborative and intelligent file organization.

Canonical page: https://skillsregistry.net/skills/andrii-su-organon  
JSON: https://api.skillsregistry.net/v1/skills/andrii-su-organon

## Description

Local-first semantic file organism layer — transforms your filesystem into a living knowledge graph for humans and AI agents

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/andrii-su/organon)

## 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": "andrii-su-organon"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andrii-su-organon` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andrii-su-organon/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