researching-codebase

Gather isolated codebase context with file paths and line numbers.

2|1|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/qte77/claude-code-utils-plugin --skill researching-codebase-qte77
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: researching-codebase
Source: https://github.com/qte77/claude-code-utils-plugin/tree/main/plugins/codebase-tools/skills/researching-codebase
Command: npx skills add https://github.com/qte77/claude-code-utils-plugin --skill researching-codebase-qte77

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Gathers isolated codebase context before planning non-trivial tasks to prevent context leakage and biased decisions.

Core Features & Use Cases

  • Isolated research: Describe architecture, files, and dependencies without polluting the main context.
  • Evidence-based summaries: Provide file paths, line references, and concrete references for decision making.
  • Use Case: Before starting a major feature, use this skill to obtain a concise, forked view of the relevant code areas.

Quick Start

Invoke researching-codebase with your topic to obtain an isolated, structured summary of relevant files and architecture.

Frequently Asked Questions about researching-codebase

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

FAQPage Schema
How do I research a large codebase before planning a feature?

Researching a large codebase before planning involves gathering isolated context of relevant files and dependencies to prevent context leakage. This approach returns structured findings with file paths and line references for unbiased decision making.

What is isolated codebase context and why do I need it for architecture discovery?

Isolated codebase context is a forked, focused view of architecture and module dependencies kept separate from your main working context. You need it to prevent polluted context and biased decisions when investigating large repositories.

How do I map dependencies across a repository without polluting my main context?

Mapping dependencies across a repository without polluting your main context requires an isolated research process that returns evidence-based summaries. This provides concrete file paths and line references while keeping the main context clean.

Can I get file paths and line numbers when investigating module architecture?

Yes, investigating module architecture can return evidence-based summaries containing specific file paths and line numbers. This structured output provides concrete references for focused planning and non-trivial task execution.

When should I isolate codebase context instead of reading files directly?

You should isolate codebase context instead of reading files directly when planning non-trivial tasks in large repositories. This prevents context leakage and biased decisions by providing a focused, structured summary of relevant areas.