Can I use this for debugging?

Yes, it is highly effective for finding how others have handled specific error patterns, try-catch blocks, and edge cases in production environments.

What tools does the Research skill use?

It utilizes GitHub's literal code search, Exa web search for live documentation, and local file tools to save structured reports to your docs directory.

Where are the research findings saved?

All findings are automatically formatted and saved to the 'docs/research/' directory within your project for future reference.

How is this different from a standard AI search?

Unlike standard LLM knowledge, this skill performs real-time searches for 'literal code' (grep-style) in actual repositories, ensuring you see how code is truly written in 2025.

Does it provide the latest documentation?

Yes, it specifically uses the 'get_code_context_exa' tool to fetch the most recent library/SDK documentation and code examples from the web.

Technical Research & Code Discovery

Name: Technical Research & Code Discovery
Author: Activer007

byActiver007

学習とドキュメンテーション

Conducts deep technical research by discovering real-world code implementations, verifying documentation, and generating structured reports.

概要

This skill transforms Claude into an elite technical researcher that prioritizes actual production code over generic tutorials. It leverages specialized tools like GitHub code search and Exa to investigate libraries, APIs, and design patterns, ultimately synthesizing findings into dated, structured reports within your repository's documentation. It is particularly useful when evaluating new tech stacks, debugging complex integration issues, or looking for authentic usage patterns in 2025 and beyond.

主な機能

Automated generation of structured research reports in markdown format.
Cross-referencing of multiple sources to verify technical accuracy and best practices.
0 GitHub stars
Literal GitHub code search for real-world usage patterns and production examples.
Real-time documentation scraping and context gathering via Exa AI.
Integrated 'Code-First' philosophy that prioritizes evidence over tutorial opinions.

ユースケース

Evaluating a new library by analyzing how it is implemented in high-quality production repositories.
Debugging obscure API errors by finding similar code patterns and fixes on GitHub.
Comparing competing technologies by verifying their performance and usage in the wild.

概要

主な機能

Automated generation of structured research reports in markdown format.
Cross-referencing of multiple sources to verify technical accuracy and best practices.
0 GitHub stars
Literal GitHub code search for real-world usage patterns and production examples.
Real-time documentation scraping and context gathering via Exa AI.
Integrated 'Code-First' philosophy that prioritizes evidence over tutorial opinions.

ユースケース

Evaluating a new library by analyzing how it is implemented in high-quality production repositories.
Debugging obscure API errors by finding similar code patterns and fixes on GitHub.
Comparing competing technologies by verifying their performance and usage in the wild.