# Aurekai

> Use this tool when you need to manage and inspect AI-native operations, diagnose issues, and control feature flags. It provides capabilities such as akai doctor diagnostics, manifest and artifact management, and runtime inspection tools, making it ideal for intelligent work on the Aurekai operating fabric. The tool accepts inputs like diagnostic queries and feature flag requests, and outputs insights and management data to support efficient AI operations.

Canonical page: https://skillsregistry.net/skills/aurekai  
JSON: https://api.skillsregistry.net/v1/skills/aurekai

## Description

Exposes Aurekai platform capabilities including akai doctor diagnostics, manifest and artifact management, feature flag queries, and runtime inspection tools. Designed for AI-native operations using the Aurekai operating fabric for intelligent work.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aurekai)
- **Repository:** <https://github.com/aurekai/aurekai-mcp>

## 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": "aurekai"
    }
  }
}
```

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