explore

Map integration points, data flows, dependencies, and patterns in codebases.

2|Updated Feb 7, 2026

Search Tags:#architecture #codebase #dependencies #patterns #explore #entry-points

Ready to run

npx skills add https://github.com/dayvidpham/aura-plugins --skill explore-dayvidpham

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: explore
Source: https://github.com/dayvidpham/aura-plugins/tree/main/skills/explore
Command: npx skills add https://github.com/dayvidpham/aura-plugins --skill explore-dayvidpham

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Codebase exploration helps identify integration points, existing patterns, data flows, dependencies, and potential conflicts related to a topic or feature, enabling faster understanding and risk assessment.

Core Features & Use Cases

Discover entry points across CLI, APIs, events, and configuration
Map data flows and module dependencies to reveal handoffs and bottlenecks
Identify conflicts or gaps during feature scoping and architectural reviews

Quick Start

Invoke the explore skill with a topic and depth to generate structured findings

Frequently Asked Questions about explore

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

FAQPage Schema

How do I map codebase integration points and data flows for a new feature?▼

Mapping codebase integration points requires identifying entry points across CLI, APIs, events, and configuration to trace data flows and module dependencies. This surfaces architectural patterns, handoffs, and potential bottlenecks to accelerate feature scoping.

What is the best way to identify architectural patterns and conflicts during codebase exploration?▼

Identifying architectural patterns during codebase exploration involves analyzing module dependencies and data paths to reveal structural gaps. This process surfaces potential conflicts and integration risks, providing traceable file and line references for accurate architectural review.

How do I conduct a deep-dive codebase analysis to trace module dependencies and entry points?▼

Conducting a deep-dive codebase analysis requires selecting a specific topic and depth level to systematically trace entry points and module dependencies. This generates structured findings detailing data flows, architectural patterns, and conflicts with precise file and line references.

Can I perform a quick-scan codebase investigation to assess feature scoping risks?▼

You can perform a quick-scan codebase investigation by specifying a topic and a quick-scan depth to rapidly assess feature scoping risks. This targets relevant data flows and dependencies, quickly surfacing potential conflicts without exhaustive file-by-file analysis.

Does codebase exploration work for standalone investigations or only phase-based research?▼

Codebase exploration works for both standalone investigations and phase-based research. It adapts to quick-scan, standard-research, or deep-dive depths, mapping integration points and data flows with traceable file references regardless of the investigation scope.

Why do I need to specify a topic and depth when exploring codebase integration points?▼

Specifying a topic and depth when exploring codebase integration points focuses the analysis on relevant data flows and dependencies. This structured input ensures the output accurately maps entry points and conflicts at the desired investigation granularity.