understand-chat

Answer codebase questions by querying a project-level knowledge graph JSON.

6|1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/kmshihab7878/claude-code-setup --skill understand-chat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: understand-chat
Source: https://github.com/kmshihab7878/claude-code-setup/tree/main/skills/understand-chat
Command: npx skills add https://github.com/kmshihab7878/claude-code-setup --skill understand-chat

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps engineers quickly locate and understand code and architecture by querying a prebuilt project knowledge graph, avoiding large context dumps and manual file hunting.

Core Features & Use Cases

  • Targeted Graph Queries: Search node names, summaries, and tags to find relevant files, functions, classes, and concepts.
  • Relationship Tracing: Inspect one-hop edges for imports, calls, and dependencies to show how components connect.
  • Layer & Context Awareness: Report which architectural layer(s) matched nodes belong to and provide concise, referenced explanations for code exploration and onboarding.

Quick Start

Ask the skill to find all nodes related to "database connection pooling" and summarize the files, functions, and one-hop dependencies that are relevant.

Frequently Asked Questions about understand-chat

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

FAQPage Schema
How do I trace dependencies and imports across a codebase?

Tracing dependencies requires querying a prebuilt project knowledge graph to extract matching node entries and inspect one-hop edges, showing how files and functions connect without manual file hunting.

What is a project knowledge graph for codebase search?

A project knowledge graph is a structured JSON representation of a repository's architecture, enabling targeted codebase search by querying node summaries and tags to locate relevant files and functions.

How do I map architecture layers when explaining codebase functions?

To map architecture layers, query the knowledge graph to locate matched nodes; the graph reports which architectural layer each node belongs to, providing concise referenced explanations for code exploration.

Does this codebase search method work without a prebuilt knowledge graph?

No, this codebase search requires read access to a prebuilt knowledge graph JSON file located at .understand-anything/knowledge-graph.json inside the target repository.

What's the best way to find files related to a specific concept like database connection pooling?

The best way to find related files is to search the knowledge graph for nodes matching the concept, summarizing relevant files, functions, and one-hop dependencies connected to that search term.