What makes this research skill different from standard AI chat?

Unlike standard AI responses, this skill uses real-time tools to search GitHub for literal code patterns and scrapes official documentation rather than relying solely on training data, ensuring current and evidence-based results.

Where does the skill save its findings?

All research reports are automatically saved to a structured markdown file within your project's 'docs/research/' directory for easy team sharing and future reference.

Can I use this for debugging specific library issues?

Yes, you can use it to search for specific error messages or complex API usage patterns across millions of repositories to see how other developers have handled similar problems.

Does it search for tutorials or actual code?

It follows a 'code-first' philosophy, specifically searching for production usage patterns on GitHub to verify how libraries are actually implemented in the real world.

Technical Implementation Researcher

Name: Technical Implementation Researcher
Author: Activer007

byActiver007

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开发者工具

Performs evidence-based technical research by analyzing real-world GitHub implementations and authoritative documentation to find production-grade patterns.

关于

This skill empowers Claude to act as a high-level technical researcher, moving beyond generic AI knowledge to find production-grade code patterns and official API contexts. By leveraging sophisticated search tools like GitHub literal code search and Exa's web intelligence, it identifies how libraries are actually used in the wild, compares technology stacks with real-world evidence, and generates structured research reports saved directly to your project's documentation for long-term reference.

主要功能

Real-time web scraping for the latest documentation and technical articles
Evidence-based synthesis prioritizing production code over tutorials
Literal code search for real-world usage patterns on GitHub
Technology comparison analysis based on current production data
Automated structured reporting saved to docs/research/ directory
1 GitHub stars

使用场景

Comparing two competing technologies based on recent community adoption and performance
Debugging complex issues by searching for similar code patterns in existing repositories
Investigating the best implementation patterns for a new library or SDK

关于

主要功能

Real-time web scraping for the latest documentation and technical articles
Evidence-based synthesis prioritizing production code over tutorials
Literal code search for real-world usage patterns on GitHub
Technology comparison analysis based on current production data
Automated structured reporting saved to docs/research/ directory
1 GitHub stars

使用场景

Comparing two competing technologies based on recent community adoption and performance
Debugging complex issues by searching for similar code patterns in existing repositories
Investigating the best implementation patterns for a new library or SDK