Codebase Research FAQs

Question 1

What kind of output can I expect from a research request?

Accepted Answer

Claude generates a structured markdown research document that includes an executive summary, detailed findings with precise file and line number references, component interaction maps, and historical context derived from ADRs and documentation.

Question 2

When should I use this Claude Code skill?

Accepted Answer

You should use this skill when you need to understand unfamiliar code, locate specific features across multiple files, trace data flow, or identify established implementation patterns before starting a new task or onboarding to a project.

Question 3

Does this skill suggest improvements or refactor my code?

Accepted Answer

No. The Codebase Research skill is strictly descriptive. Its critical constraint is to document and explain the codebase as it currently exists. It will not suggest improvements, critique implementation choices, or perform uninvited refactoring.

Question 4

What is the primary purpose of the Codebase Research skill?

Accepted Answer

The Codebase Research skill provides a deep, factual analysis of an existing codebase. It decomposes complex user queries into parallel sub-agent tasks to document functionality, trace implementation logic, and map architectural patterns as they exist today.

Question 5

How does multi-agent orchestration improve codebase analysis?

Accepted Answer

By spawning specialized parallel sub-agents—such as locators, analyzers, and pattern-finders—Claude can investigate different aspects of your codebase simultaneously. This significantly reduces research time and provides a more comprehensive view than a sequential search.

Codebase Research

Codebase Research

主な機能

ユースケース

主な機能

ユースケース