# cortex

> cortex — andrmaz-cortex. Use this tool when you need to retrieve and provide organizational knowledge context to AI tools, solving problems of information silos and inefficient data access. It integrates with git, allowing for seamless knowledge retrieval and utilization. Ideal for use cases where AI tools require access to centralized knowledge bases to inform decision-making and task execution.

Canonical page: https://skillsregistry.net/skills/andrmaz-cortex  
JSON: https://api.skillsregistry.net/v1/skills/andrmaz-cortex

## Description

Organizational knowledge context retrieval for AI tools

## 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:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/andrmaz/cortex)

## 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": "andrmaz-cortex"
    }
  }
}
```

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

---
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