# Mimir

> Use this tool when you need to streamline development workflows and improve engineering methodologies. Mimir provides AI assistants with structured access to best practices, enabling the generation of work plans and progress tracking, while also allowing for continuous process improvement through AI-proposed updates. It solves problems related to inefficient workflows, outdated methodologies, and limited access to industry best practices, accepting development requirements as input and producing optimized work plans and playbook updates as output.

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

## Description

A self-evolving engineering playbook system that provides AI assistants with structured access to development methodologies, workflows, and best practices. Enables generation of work plans, progress tracking, and continuous process improvement through AI-proposed playbook updates.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ebom5fn63z)
- **Repository:** <https://github.com/FeatureFactory-io/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": "phainestai-mimir"
    }
  }
}
```

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