dt-analyze

Analyze codebases to identify file dependencies, data flows, and design patterns.

Updated Jul 2, 2026
One-click install
npx skills add https://github.com/nseluga/os --skill dt-analyze
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dt-analyze
Source: https://github.com/nseluga/os/tree/main/skills/dt-analyze
Command: npx skills add https://github.com/nseluga/os --skill dt-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill unit helps developers quickly understand the structure and dependencies of a codebase, reducing time spent on exploratory analysis.

Core Features & Use Cases

  • Code Exploration: Maps files, functions, classes, and patterns relevant to a given task.
  • Data Flow Analysis: Identifies how data moves through the system.
  • Pattern Recognition: Detects naming conventions, error handling styles, and DB access patterns.
  • Risk Identification: Highlights files that may need changes and potential issues.
  • Use Case: Before diving into development, use dt-analyze to map out a new or unfamiliar code module to ensure smooth collaboration.

Quick Start

Analyze the codebase for the 'new-module' task by running 'dt-analyze new-module'.

Frequently Asked Questions about dt-analyze

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

FAQPage Schema
How do I map file dependencies and data flows in an unfamiliar codebase?

Codebase analysis automates the mapping of file dependencies and data flows to help you quickly understand structural relationships. It identifies how data moves through the system and highlights relevant design patterns before modifications.

What's the best way to analyze a large codebase for design patterns before development?

Analyzing a large codebase for design patterns is handled by utilizing parallel subagents for large-scale exploration. This approach detects naming conventions, error handling styles, and database access patterns to streamline your development workflow.

How does codebase mapping identify potential risks before modifying code?

Codebase mapping identifies risks by highlighting files that may need changes and surfacing potential issues. It maps functions, classes, and patterns relevant to a given task to ensure smooth collaboration.

Do I need managed memory to analyze code structure with parallel subagents?

Yes, analyzing code structure with parallel subagents requires Claude Code's managed memory system for context. This environment setup is necessary to automate dependency mapping and data flow analysis efficiently.

Can I use automated code exploration for any codebase requiring a quick overview?

Yes, automated code exploration applies to any codebase requiring a quick overview before modifications. It maps files, functions, classes, and patterns relevant to your specific task to reduce exploratory analysis time.

When should I not use automated data flow analysis for code modifications?

Automated data flow analysis is not suited for codebases where you already possess deep structural knowledge. It is designed specifically to reduce time spent on exploratory analysis when diving into new or unfamiliar modules.