# mimir

> mimir — dbtlr-mimir. Use this tool when you need to manage work states with a lightweight database solution, solving problems of data persistence and querying for both human and agent interfaces. It provides a one query layer, CLI for human interaction, and MCP server for agent integration, accepting inputs from various sources and outputting queried data. Ideal for use cases requiring version control, such as git, and flexible data management.

Canonical page: https://skillsregistry.net/skills/dbtlr-mimir  
JSON: https://api.skillsregistry.net/v1/skills/dbtlr-mimir

## Description

Work-state engine over SQLite — one query layer, CLI for humans, MCP server for agents

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **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/dbtlr/mimir)

## 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": "dbtlr-mimir"
    }
  }
}
```

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