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.