anchor-trace-horizontal-extension

Trace cross-layer dependencies from an anchor file and output an extension plan.

Updated Jan 9, 2026
One-click install
npx skills add https://github.com/HNULS-LabHub/HNULS-KnowledgeDatabase --skill anchor-trace-horizontal-extension-hnuls-labhub
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: anchor-trace-horizontal-extension
Source: https://github.com/HNULS-LabHub/HNULS-KnowledgeDatabase/tree/main/.agent/skills/anchor-trace-horizontal-extension
Command: npx skills add https://github.com/HNULS-LabHub/HNULS-KnowledgeDatabase --skill anchor-trace-horizontal-extension-hnuls-labhub

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Start from a given anchor file to elucidate cross-layer dependencies, enabling teams to understand how a feature touches renderer, preload, main, utility, and shared layers, and to plan minimal, coherent extensions.

Core Features & Use Cases

  • Bi-directional dependency tracing from the anchor to surface both consumers and producers across all layers.
  • Layer role classification that distinguishes processing vs pass-through components to guide extension scope.
  • Use Case: scaling a feature across a large codebase where changes need to ripple minimally across UI, bridge, or service layers.

Quick Start

Provide the path to the anchor file; the tool will output a cross-layer extension plan.

Frequently Asked Questions about anchor-trace-horizontal-extension

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

FAQPage Schema
How do I trace cross-layer dependencies in a monorepo to plan a feature extension?

Bi-directional dependency tracing maps both consumers and producers from an anchor file, distinguishing processing components from pass-through modules to guide the extension scope across all architectural layers.

How do I map cross-layer code analysis from a single anchor file?

You provide the path to the anchor file. The tool then traces upward and downward connections across all layers, classifies components, and outputs a cross-layer feature extension plan detailing scope, impacted modules, and recommended changes.

Can I use dependency tracing to distinguish processing components from pass-through modules?

Yes, the tracer classifies each component as processing or pass-through. This distinction helps teams identify where functional logic resides versus where data simply transits, ensuring extensions target only the necessary processing modules.

What's the best way to plan minimal feature extensions across layered architecture?

The best way is to trace bi-directional dependencies from an anchor file to map all impacted modules. This approach ensures changes ripple minimally and coherently across UI, bridge, and service layers in a large codebase.

Does cross-layer dependency tracing work for large monorepos with complex architecture?

Yes, it is designed for scaling features across large codebases. By mapping cross-layer dependencies from an anchor file, it ensures changes ripple minimally and coherently across UI, bridge, or service layers without breaking architecture.

Why should I use anchor file tracing instead of manually reviewing code dependencies for extension planning?

Anchor file tracing automates the discovery of consumers and producers across all layers, classifying processing versus pass-through components. Manual review risks missing hidden cross-layer dependencies, whereas tracing outputs a comprehensive, minimal extension plan.