Can this skill help with library comparisons?

Yes, it uses a specific strategy to search for both libraries, compares their real-world implementation density, and checks for recent articles to verify performance claims.

How does the GitHub search tool work?

It utilizes literal code searching (regex/grep-style) rather than generic keyword searching, allowing you to find exact function calls, API hook usages, and configuration patterns.

Where are the research results saved?

All findings are automatically synthesized into a report and saved as a Markdown file in your project's docs/research/ directory for team reference.

What makes this different from standard AI knowledge?

Standard AI models are limited by their training cutoff; this skill performs live searches on GitHub and the web to find 2025-ready code and the most current documentation.

Technical Research & Code Discovery

Name: Technical Research & Code Discovery
Author: Microck

byMicrock

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Developer Tools

Researches technical libraries, APIs, and real-world code implementations using GitHub and Exa to provide evidence-based development guidance.

About

This skill transforms Claude into a high-level technical researcher focused on evidence-based discovery. By leveraging specialized tools like searchGitHub for literal code patterns and Exa for real-time documentation scraping, it moves beyond generic tutorials to find production-grade implementation examples. It automatically synthesizes findings into structured research reports saved directly to your repository, ensuring all architectural decisions and technology choices are backed by recent, real-world evidence and the latest 2025 standards.

Key Features

Literal code search across GitHub for real-world usage patterns
Version-aware searching to prioritize modern content and current best practices
Evidence-based synthesis comparing libraries and debugging complex logic
81 GitHub stars
Automated generation of structured research reports in Markdown format
Real-time web scraping and documentation retrieval via Exa integration

Use Cases

Investigating the best way to implement a new library or SDK by analyzing production-grade examples
Debugging obscure errors by searching for similar code blocks and proven fixes across GitHub repositories
Comparing competing technologies by verifying actual usage patterns and implementation complexity in open-source projects

About

Key Features

Literal code search across GitHub for real-world usage patterns
Version-aware searching to prioritize modern content and current best practices
Evidence-based synthesis comparing libraries and debugging complex logic
81 GitHub stars
Automated generation of structured research reports in Markdown format
Real-time web scraping and documentation retrieval via Exa integration

Use Cases

Investigating the best way to implement a new library or SDK by analyzing production-grade examples
Debugging obscure errors by searching for similar code blocks and proven fixes across GitHub repositories
Comparing competing technologies by verifying actual usage patterns and implementation complexity in open-source projects