research

Analyze codebases to uncover architecture, patterns, and dependencies.

15|16|Updated Jan 21, 2026
One-click install
npx skills add https://github.com/alxyrgin/secondbrain_ai --skill research-alxyrgin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/alxyrgin/secondbrain_ai/tree/main/.claude/skills-dev/research
Command: npx skills add https://github.com/alxyrgin/secondbrain_ai --skill research-alxyrgin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic codebase research enables teams to rapidly understand unfamiliar projects by revealing architecture, data flows, and dependency patterns, reducing onboarding time and risk.

Core Features & Use Cases

  • Overview: quickly grasp project structure, tech stack, entry points, and configuration.
  • Architecture & Deep Dive: map modules, data flow, and key dependencies; identify patterns and bottlenecks.
  • Use Case Scenarios: understand how changes propagate across components and how to validate impact of changes.
  • Output artifacts: generate executive summaries, diagrams, and a focused plan for next steps.

Quick Start

Perform a structured codebase research to understand architecture, dependencies, and patterns.

Frequently Asked Questions about research

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

FAQPage Schema
How do I understand the architecture of an unfamiliar codebase?

Codebase architecture research uses a phased methodology covering overview, architecture mapping, deep dive, and pattern identification to uncover data flow, module interactions, and dependencies, reducing onboarding time and risk.

What is the best way to analyze codebase dependencies and data flow?

Analyzing codebase dependencies and data flow requires deep dive techniques that map modules, trace interactions, and identify bottlenecks. This systematic research validates how changes propagate across components and their structural impact.

Can I generate architecture documentation for a large repository?

Yes, you can generate architecture documentation for large repositories by conducting systematic codebase research. This process produces output artifacts including executive summaries, structural diagrams, and focused plans for next steps.

How do I map patterns and bottlenecks in a complex project?

Mapping patterns and bottlenecks in a complex project involves a deep dive phase that identifies structural interactions and data flow constraints. This research uncovers how modules interact and where dependencies create bottlenecks.

Does codebase research work for understanding changes across modules?

Codebase research works for understanding changes across modules by mapping data flow and dependency patterns. It identifies how changes propagate across components and provides techniques to validate their structural impact.