# contorium

> contorium — contoriumlabs-contorium. Use this tool when you need to track and manage project knowledge and decisions across multiple AI tools and collaborators. Contorium solves the problem of fragmented project information by preserving history, constraints, and evolving state, providing a unified intelligence layer for AI-assisted development. It integrates with git, accepting project data as input and outputting a centralized knowledge base for informed decision-making.

Canonical page: https://skillsregistry.net/skills/contoriumlabs-contorium  
JSON: https://api.skillsregistry.net/v1/skills/contoriumlabs-contorium

## Description

Project Intelligence Layer for AI-assisted development. Preserve project decisions, reasoning, constraints, history, and evolving state across AI tools.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ContoriumLabs/contorium)

## 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": "contoriumlabs-contorium"
    }
  }
}
```

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