How does this research skill differ from standard AI web searching?

Unlike standard search, this skill prioritizes literal code search on GitHub to find production usage rather than generic tutorials, ensuring findings are based on real-world evidence.

Where are the research reports stored?

All research findings are automatically saved as structured Markdown files in the 'docs/research/' directory of your project.

Does it provide documentation for specific library versions?

Yes, it utilizes the get_code_context_exa tool to retrieve high-quality documentation and examples for specific SDKs and API versions.

Can this skill help with library comparisons?

Yes, it uses a specific strategy to compare technologies by analyzing recent articles and verifying claims against actual implementation patterns in public repositories.

Technical Research & Intelligence

Name: Technical Research & Intelligence
Author: Microck

byMicrock

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110

开发者工具

Conducts deep technical research by finding real-world code implementations and official documentation using advanced search tools.

关于

The Technical Research skill transforms Claude into an expert technical lead that investigates libraries, APIs, and architectural patterns with a focus on 'code over talk.' By leveraging advanced GitHub code search and Exa documentation scraping, it bypasses generic tutorials to find production-grade implementations and verified best practices. The skill synthesizes findings into structured reports—complete with evidence from real code and official context—and automatically archives them in your project's local documentation for future reference.

主要功能

Context-aware strategy selection for debugging, comparisons, or how-to queries
Automated saving of research documents to a standardized project directory
High-quality documentation scraping via Exa for up-to-date API contexts
Advanced GitHub code search for real-world usage patterns and production examples
Structured report generation with core findings and actionable recommendations
110 GitHub stars

使用场景

Comparing multiple technologies by analyzing their actual adoption and implementation complexity
Debugging complex technical issues by searching for similar code patterns and solutions across GitHub
Investigating how to implement a specific library or framework using real-world usage patterns

关于

主要功能

Context-aware strategy selection for debugging, comparisons, or how-to queries
Automated saving of research documents to a standardized project directory
High-quality documentation scraping via Exa for up-to-date API contexts
Advanced GitHub code search for real-world usage patterns and production examples
Structured report generation with core findings and actionable recommendations
110 GitHub stars

使用场景

Comparing multiple technologies by analyzing their actual adoption and implementation complexity
Debugging complex technical issues by searching for similar code patterns and solutions across GitHub
Investigating how to implement a specific library or framework using real-world usage patterns