Can it help with library migrations?

Yes, it can specifically search for real-world examples of how other projects have handled migrations, breaking changes, or deprecated APIs in recent months.

How does this differ from standard AI chat research?

Unlike standard LLM responses which rely on training data, this skill uses specialized tools to fetch live 2025 documentation and literal code examples from active GitHub repositories.

Why does the skill emphasize 2025 content?

To ensure your project stays current, the skill filters for the most recent technical articles and code updates, avoiding the common pitfall of following outdated blog posts.

Where are the research results saved?

Findings are automatically structured into Markdown files and saved to your project's 'docs/research/' directory for easy version control and team sharing.

Does it support regex for code searching?

Yes, the GitHub search integration allows for literal code searching and regex patterns, enabling you to find specific function calls rather than just keyword mentions.

Technical Research & Code Discovery

Name: Technical Research & Code Discovery
Author: Microck

byMicrock

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学習とドキュメンテーション

Performs deep technical research by discovering real-world code implementations, API patterns, and the latest documentation using GitHub and Exa.

概要

This skill transforms Claude into a high-level technical researcher focused on finding production-grade code patterns rather than generic tutorials. By leveraging advanced GitHub regex searches and real-time web scraping via Exa, it helps developers investigate technologies, compare libraries, and solve complex architectural challenges. Every research session results in a structured, timestamped report saved directly to your project's local documentation, ensuring findings are verified against 2025 industry standards and preserved for the entire team.

主な機能

Literal code search on GitHub using regex to identify production-ready implementation patterns.
Anti-pattern detection to filter out outdated tutorials and insecure coding practices.
Real-time technical scraping via Exa for the latest 2025 library documentation and SDK usage.
81 GitHub stars
Evidence-based library comparisons that prioritize actual usage over marketing claims.
Automated synthesis of findings into structured Markdown reports saved to docs/research/.

ユースケース

Evaluating competing libraries by comparing their real-world implementation complexity in production repos.
Debugging obscure errors by searching for similar code snippets and verified fixes across GitHub.
Investigating the most modern 'best practices' for specific authentication or state management patterns.

概要

主な機能

Literal code search on GitHub using regex to identify production-ready implementation patterns.
Anti-pattern detection to filter out outdated tutorials and insecure coding practices.
Real-time technical scraping via Exa for the latest 2025 library documentation and SDK usage.
81 GitHub stars
Evidence-based library comparisons that prioritize actual usage over marketing claims.
Automated synthesis of findings into structured Markdown reports saved to docs/research/.

ユースケース

Evaluating competing libraries by comparing their real-world implementation complexity in production repos.
Debugging obscure errors by searching for similar code snippets and verified fixes across GitHub.
Investigating the most modern 'best practices' for specific authentication or state management patterns.