Where are the research findings stored?

The skill automatically generates a structured Markdown report and saves it to the 'docs/research/' directory within your project for future reference.

Does this skill work for debugging specific errors?

Yes, it can search for specific error messages or problematic code snippets across GitHub to find how other developers have successfully resolved similar issues.

What is the Technical Research Claude Code skill?

It is a specialized capability that allows Claude to perform deep dives into libraries, APIs, and coding patterns by searching GitHub for real-world code and scraping the latest documentation.

How does it differ from a standard web search?

Unlike basic searches that return blog posts, this skill uses 'literal code search' on GitHub to find how developers actually write code in production environments, following a 'show me the code' philosophy.

Technical Research & Implementation

Name: Technical Research & Implementation
Author: Microck

byMicrock

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108

Learning & Documentation

Conducts deep technical investigations using GitHub code search and documentation scraping to find real-world implementation patterns.

About

The Technical Research skill transforms Claude into a high-fidelity investigator that prioritizes production-grade code over generic tutorials. By leveraging advanced tools like GitHub literal code search and Exa web scraping, it identifies how libraries and APIs are actually used in the wild, compares technology stacks with evidence-based data, and debugs complex issues using real-world context. Every research session results in a structured, timestamped report saved directly to your repository, ensuring all technical decisions are documented and backed by verifiable code patterns.

Key Features

Real-time documentation scraping via Exa for the latest API and SDK contexts
Automated synthesis of findings into structured Markdown reports
Time-sensitive filtering to prioritize 2025+ content and avoid outdated practices
Literal GitHub code search to find production-grade implementation examples
Evidence-based comparison frameworks for evaluating competing technologies
108 GitHub stars

Use Cases

Comparing two libraries by analyzing their real-world usage and performance in production repositories
Debugging cryptic errors by searching for similar code patterns and fixes across open-source projects
Investigating how to implement complex authentication or state management patterns in a specific framework

About

Key Features

Real-time documentation scraping via Exa for the latest API and SDK contexts
Automated synthesis of findings into structured Markdown reports
Time-sensitive filtering to prioritize 2025+ content and avoid outdated practices
Literal GitHub code search to find production-grade implementation examples
Evidence-based comparison frameworks for evaluating competing technologies
108 GitHub stars

Use Cases

Comparing two libraries by analyzing their real-world usage and performance in production repositories
Debugging cryptic errors by searching for similar code patterns and fixes across open-source projects
Investigating how to implement complex authentication or state management patterns in a specific framework