# ainl-cortex

> ainl-cortex — sbhooley-ainl-cortex. Use this tool when you need to enhance Claude Code with graph-native memory and self-learning capabilities, solving problems of knowledge retention and pattern recognition across sessions and agents. It takes in code and session data as inputs and outputs learned patterns and improved performance, with integration via git. Ideal for use cases requiring continuous learning and memory retention in AI-powered development environments.

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

## Description

Graph-native memory and self-learning for Claude Code. Every session remembered, every pattern learned, every agent connected — powered by AI Native Lang.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/sbhooley/ainl-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": "sbhooley-ainl-cortex"
    }
  }
}
```

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