Does it only search GitHub repositories?

No, it combines GitHub's literal code search (grep-style) with Exa web search and documentation context to provide a 360-degree view of a technology or pattern.

How does the Research skill differ from standard AI chat?

Unlike standard AI chat which relies on training data, this skill uses specialized tools like GitHub literal code search and Exa to find real-time, production-level code examples and the latest documentation.

Where are the research reports stored?

All findings are automatically synthesized and saved as structured Markdown files in the docs/research/ directory of your local project for future reference.

Why does it use a Linus Torvalds persona?

The persona enforces a 'show me the code' philosophy, ensuring the AI prioritizes actual working implementations and official docs over potentially unreliable blog posts or tutorials.

Technical Research & Implementation Discovery

Name: Technical Research & Implementation Discovery
Author: Activer007

byActiver007

开发者工具

Conducts evidence-based technical research by finding real-world code implementations and generating structured documentation.

关于

This skill empowers Claude to perform deep technical investigations using a 'Linus Torvalds' philosophy—prioritizing production code over tutorials. It leverages specialized GitHub search patterns and Exa tools to identify real-world usage of libraries, APIs, and design patterns. By cross-referencing multiple sources and verifying claims against actual repositories, it generates high-quality research reports saved directly to your project's documentation folder, helping developers make informed decisions and avoid common anti-patterns based on 2025 standards.

主要功能

Real-time web content scraping and documentation analysis via Exa
0 GitHub stars
Strategic multi-tool workflows for debugging and tech comparisons
Automated structured report generation saved to docs/research/
Implementation-first philosophy prioritizing production code over tutorials
Literal code-pattern searching via GitHub for real-world usage

使用场景

Comparing competing technologies based on real-world adoption and official documentation
Investigating the best production implementation of a specific library or SDK
Debugging complex issues by searching for similar error handling patterns in open-source projects

关于

主要功能

Real-time web content scraping and documentation analysis via Exa
0 GitHub stars
Strategic multi-tool workflows for debugging and tech comparisons
Automated structured report generation saved to docs/research/
Implementation-first philosophy prioritizing production code over tutorials
Literal code-pattern searching via GitHub for real-world usage

使用场景

Comparing competing technologies based on real-world adoption and official documentation
Investigating the best production implementation of a specific library or SDK
Debugging complex issues by searching for similar error handling patterns in open-source projects