Can I use this skill for debugging specific errors?

Yes, the skill is highly effective for debugging by searching for real-world code snippets that use similar try-catch blocks or error patterns in public repositories.

Does it prioritize modern or legacy code?

The skill specifically follows a philosophy that prioritizes content from 2025 and official documentation over outdated blog posts or legacy tutorials.

What tools are required for this skill to work?

It utilizes the mcp-router for searchGitHub and Exa tools, along with standard file system tools like Write and Read to manage research documents.

Where are the research results stored?

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

How does this skill differ from standard AI search?

Unlike standard chat, this skill uses specialized tools like searchGitHub for literal code pattern matching and Exa for high-quality documentation scraping, focusing on production code rather than tutorials.

Technical Research Specialist

Name: Technical Research Specialist
Author: Microck

byMicrock

•

110

Learning & Documentation

Conducts deep technical research using GitHub and Exa to find real-world code implementations, documentation, and production patterns.

About

This skill transforms Claude into an elite technical researcher that prioritizes real-world production code over generic tutorials. By leveraging specialized tools like GitHub's literal code search and Exa's documentation-aware web search, it identifies how libraries are actually implemented in the wild. The skill automatically synthesizes findings into structured markdown reports saved directly to your repository, providing verifiable evidence for architectural decisions, library comparisons, and debugging strategies while specifically filtering for the most recent 2025 standards.

Key Features

Literal GitHub code search to identify production-grade implementation patterns
Automated synthesis of findings into structured markdown reports
Real-time documentation and API context retrieval via Exa search
Automatic archival of research data to a dedicated project directory
Evidence-based technology comparisons and best practice validation
110 GitHub stars

Use Cases

Debugging intricate issues by searching GitHub for similar code patterns and error handling implementations
Comparing competing technologies by verifying community adoption and official documentation side-by-side
Investigating how complex libraries like BetterAuth or React Query are used in real-world production environments

About

Key Features

Literal GitHub code search to identify production-grade implementation patterns
Automated synthesis of findings into structured markdown reports
Real-time documentation and API context retrieval via Exa search
Automatic archival of research data to a dedicated project directory
Evidence-based technology comparisons and best practice validation
110 GitHub stars

Use Cases

Debugging intricate issues by searching GitHub for similar code patterns and error handling implementations
Comparing competing technologies by verifying community adoption and official documentation side-by-side
Investigating how complex libraries like BetterAuth or React Query are used in real-world production environments