research

Analyze codebases, research web solutions, and review code quality.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/garimto81/claude --skill research-garimto81
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/garimto81/claude/tree/main/.claude/skills/research
Command: npx skills add https://github.com/garimto81/claude --skill research-garimto81

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of understanding codebases, conducting external research, and performing AI-powered code reviews, significantly accelerating development and analysis tasks.

Core Features & Use Cases

  • Codebase Analysis: Deep dives into specific code paths, dependencies, or the entire project structure.
  • External Research: Searches for open-source solutions, libraries, and relevant information on the web.
  • AI Code Review: Provides automated code quality and consistency checks.
  • Use Case: When tasked with integrating a new feature, use /research plan to generate a detailed implementation strategy, or use /research code to understand existing relevant code sections.

Quick Start

Use the research skill to analyze the codebase in the current directory.

Frequently Asked Questions about research

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

FAQPage Schema
How do I analyze an existing codebase before integrating a new feature?

To analyze a codebase before integration, use AI code analysis to deep dive into specific code paths, dependencies, and project structure. This streamlines understanding of existing code sections and accelerates development planning.

What is the best way to find open source libraries for a development project?

Finding open source libraries is best handled through AI-driven external web research. It searches for relevant solutions and information on the web, gathering necessary details to support your implementation strategy.

Can AI perform automated code reviews for quality and consistency checks?

Yes, AI can perform automated code reviews to provide quality and consistency checks. This assesses code quality across the codebase, helping identify issues and maintain standards during the development process.

How do I generate an implementation plan for a new software feature?

To generate an implementation plan for a new feature, use the research planning workflow. It facilitates gathering information and assessing code quality to produce a detailed implementation strategy.

Does this codebase analysis approach work without external dependencies?

Yes, this codebase analysis approach works without external dependencies. It uses internal scripts and references to analyze the current directory and assess code quality without requiring additional setup.

What are the limitations of using AI for codebase analysis?

Limitations of AI codebase analysis include its reliance on the current directory structure and existing code quality. While it assesses code paths and dependencies, complex external logic may require additional manual verification.