cartogopher

What This Skill Does

CartoGopher provides AI-native code intelligence, transforming your codebase into a lightweight, searchable graph. Instead of reading thousands of files, this skill utilizes a specialized MCP server that exposes over 30 precision tools. It allows an AI agent to navigate complex project architectures, trace API endpoints, perform AST-aware semantic searches, and analyze frontend components (including React/Vue hooks and state management) with up to 94% fewer tokens than standard methods. By generating a local bake.json graph, it bridges the gap between raw text and structural code understanding.

Installation

To integrate CartoGopher into your workflow, execute the following command via the terminal: clawhub install openclaw/skills/skills/jakenesler/cartogopher. During initialization, the skill will guide you through acquiring a 7-day trial API key. You will need to provide a valid, non-disposable email address. For Linux-based container environments, ensure your system contains the /etc/machine-id file, as the binary requires this for hardware identification. The skill handles the platform detection and binary download automatically based on your host architecture.

Use Cases

Use CartoGopher when you need to understand large, unfamiliar legacy projects or deep-dive into complex architectures. It is essential for developers tasked with debugging multi-layered API calls, identifying circular dependencies, or searching for specific logic structures that keyword searches miss. It is particularly effective for onboarding new team members or performing rapid refactoring tasks where you need to verify if an API change impacts downstream components in the frontend.

Example Prompts

1. "Setup CartoGopher for this project so I can start exploring the codebase architecture."
2. "Use CartoGopher to trace the 'user login' API endpoint and identify all database models touched by the request."
3. "Find all React components that use the 'authStore' in this project and explain their relationship to the main navigation bar."

Tips & Limitations

• Token Efficiency: CartoGopher is optimized for speed and cost; let the agent handle the graph querying rather than requesting full-file dumps.
• Data Privacy: It processes your code locally to generate the graph, keeping your source code secure while only communicating metadata to the API for verification.
• Limitations: It currently requires a valid internet connection to verify your trial key and cannot operate in strictly air-gapped environments without existing activation.