Where are the research findings saved?

All findings are automatically formatted into markdown files and saved to the 'docs/research/' directory within your project for easy team reference.

Can I use this to compare different libraries?

Yes, the skill is specifically designed to handle 'X vs Y' comparisons by checking official documentation, recent articles, and real-world code volume.

Does it support the most recent technical updates?

Absolutely. The workflow specifically instructs the AI to prioritize content from 2025 and specific version documentation to avoid outdated patterns.

How does this differ from a standard web search?

This skill performs literal 'grep-style' code searches on GitHub to find production usage rather than relying on SEO-optimized tutorials or outdated blog posts.

Technical Implementation Research

Name: Technical Implementation Research
Author: Activer007

byActiver007

开发者工具

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

关于

This skill transforms Claude into an elite technical researcher that prioritizes production-ready code over generic tutorials. By utilizing literal GitHub code search and Exa's documentation scraping, it allows developers to investigate complex APIs, compare architectural patterns, and verify library usage through actual implementations. Every research task culminates in a structured markdown report saved directly to your project's documentation folder, ensuring that technical decisions are backed by verifiable evidence and cross-referenced sources.

主要功能

Deep documentation scraping for precise API and SDK context
Comparative analysis for evaluating competing libraries and frameworks
Date-aware searching to prioritize the latest 2025 technical content
0 GitHub stars
Automated generation of structured research reports in docs/research/
Literal GitHub code search for identifying real-world usage patterns

使用场景

Investigating the most reliable way to implement a specific library or API
Comparing multiple technologies by analyzing their real-world adoption and complexity
Debugging obscure errors by researching how other developers solved similar production issues

关于

主要功能

Deep documentation scraping for precise API and SDK context
Comparative analysis for evaluating competing libraries and frameworks
Date-aware searching to prioritize the latest 2025 technical content
0 GitHub stars
Automated generation of structured research reports in docs/research/
Literal GitHub code search for identifying real-world usage patterns

使用场景

Investigating the most reliable way to implement a specific library or API
Comparing multiple technologies by analyzing their real-world adoption and complexity
Debugging obscure errors by researching how other developers solved similar production issues