code-research

Searches GitHub repositories in parallel to explain how open-source code implements features.

Updated Jul 31, 2026
One-click install
npx skills add https://github.com/AarnavBaddam/skills --skill code-research-aarnavbaddam
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-research
Source: https://github.com/AarnavBaddam/skills/tree/main/code-research
Command: npx skills add https://github.com/AarnavBaddam/skills --skill code-research-aarnavbaddam

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Understanding how an external open-source library or framework implements a feature usually requires hours of manual repository browsing. This Skill automates that investigation by running parallel codebase searches against GitHub repositories and summarizing the findings with concrete file references. ## Core Features & Use Cases - Parallel Codebase Search: Decomposes a research question into 2-4 focused search angles and fires concurrent github_codebase_search queries to minimize latency. - Implementation Analysis: Cross-references returned files and sections to explain entry points, key functions, and data flow inside a repository. - Use Case: Before integrating an authentication library, ask how vercel/next.js handles session management and receive a summary citing the exact middleware, API routes, and configuration files involved. ## Quick Start Ask how a specific open-source repository implements a feature, for example: research how facebook/react implements its reconciliation algorithm.

Frequently Asked Questions about code-research

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

FAQPage Schema
How do I research how an open-source repo implements a feature?

Identify the GitHub repository, break your question into 2-4 focused search angles such as entry points, data flow, and configuration, then run parallel github_codebase_search queries. Cross-reference the returned files and summarize findings with concrete file paths.

How to search GitHub codebases for implementation details?

Use github_codebase_search with focused natural-language queries like "Find the authentication middleware and session handling." Run multiple queries in parallel covering different angles rather than a single broad sequential search.

Why run multiple codebase search queries in parallel?

Parallel queries minimize latency and cover complementary angles of the same question, such as middleware, API routes, and configuration. Sequential searches are slower and risk missing cross-references between components.

Can I compare how different repositories solve the same problem?

Yes, run the same decomposed search angles against each repository and compare the returned implementations. This works well for evaluating competing libraries before choosing a dependency.

What are the limitations of GitHub codebase search for research?

Search results depend on how well queries are decomposed, so vague single queries may miss relevant code. It only covers public repositories indexed for search and cannot execute or test the code it finds.