# cartogopher

> cartogopher — jakenesler-cartogopher. Use this tool when you need to set up AI-native code intelligence for enhanced development workflows. Cartogopher solves problems related to code optimization, debugging, and maintenance by providing intelligent insights and automation. It takes in code inputs and outputs optimized, AI-driven solutions, making it ideal for use in software development and coding projects.

Canonical page: https://skillsregistry.net/skills/jakenesler-cartogopher  
JSON: https://api.skillsregistry.net/v1/skills/jakenesler-cartogopher

## Description

Set up CartoGopher AI-native code intelligence.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-14

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/jakenesler-cartogopher)

## 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": "jakenesler-cartogopher"
    }
  }
}
```

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