# claude-cortex

> Use this tool when you need to enhance AI coding agents with automated knowledge capture and structured semantic recall, solving problems of code memorization and retrieval. It takes in coding data and outputs organized, easily accessible knowledge, streamlining the development process. Ideal for use in AI-driven coding projects, particularly those utilizing git version control.

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

## Description

Auto-capture + structured semantic recall for AI coding agents. The memory system Claude Code should have had.

## 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:** 2026-04-21

## Source

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

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