map-territory

Traverse code relationships to build a semantic graph from HelixDB and Repo Prompt.

1|Updated Dec 15, 2025
One-click install
npx skills add https://github.com/maxtheman/mcpManager --skill map-territory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: map-territory
Source: https://github.com/maxtheman/mcpManager/tree/main/mx_source/skills/map-territory
Command: npx skills add https://github.com/maxtheman/mcpManager --skill map-territory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build a complete architectural mental model before touching code by mapping code relationships with HelixDB and loading precise context into the Repo Prompt.

Core Features & Use Cases

  • Semantic graph traversal to identify anchors, dependencies, and call hierarchies.
  • Load relevant codemaps into the Repo Prompt to provide context-aware guidance.
  • Use at task start, for unfamiliar code areas, or when context feels incomplete.

Quick Start

Ask the AI to generate a territory map for the target repository to load the initial graph and context.

Frequently Asked Questions about map-territory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I map code relationships to understand an unfamiliar repository?

Traverse a semantic graph to identify anchors, dependencies, and call hierarchies, building a coherent architectural model of an unfamiliar codebase. This approach maps code relationships by assembling a graph from HelixDB and loading precise context into Repo Prompt before you modify any code.

How does semantic graph traversal work for navigating a codebase?

Semantic graph traversal identifies anchor points and maps dependencies across a repository to build a complete mental model. It connects related code structures, allowing you to load precise context into your prompt for accurate task execution.

When should I load codemaps into Repo Prompt?

Load codemaps into Repo Prompt at the start of a new task, when exploring unfamiliar code areas, or when your existing context feels incomplete. This ensures context-aware guidance by validating your understanding before proceeding with code changes.

Can I use HelixDB to build a complete architectural mental model before coding?

Yes, you can query HelixDB to assemble a semantic graph of your codebase. By extracting anchors and call hierarchies, it helps construct a complete architectural mental model so you can load precise context into Repo Prompt before touching code.

What is the best way to load precise context for code generation tasks?

The best way to load precise context is to identify anchor points and traverse code relationships to build a map. You then load these relevant codemaps into Repo Prompt, providing context-aware guidance and validating your understanding of the requirements.

Why does my AI lack context when working with unfamiliar code areas?

Your AI lacks context because it has not mapped the underlying code relationships in the repository. You can resolve this by generating a territory map to traverse dependencies and load precise codemaps into your prompt before proceeding.