Where are the research results stored?

All findings are automatically saved as structured, timestamped Markdown files within the docs/research/ directory of your local repository.

Can it help me decide between two different libraries?

Yes, the skill uses a specific strategy for comparisons that checks recent documentation via Exa and verifies adoption claims by searching GitHub for real-world usage.

Does it provide outdated coding advice?

No, the research workflow is configured to prioritize 2025 content and the latest official documentation to ensure recommendations are current.

How does this skill differ from standard AI web search?

Unlike standard search, this skill prioritizes literal code search on GitHub to find actual production usage and implementation patterns rather than generic blog tutorials.

What tools are required for this skill to function?

The skill utilizes the searchGitHub and Exa (web_search and get_code_context) tools via the MCP router to access live data.

Technical Research & Implementation Patterns

Name: Technical Research & Implementation Patterns
Author: Microck

byMicrock

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Aprendizaje y Documentación

Performs evidence-based technical research by analyzing real-world GitHub implementations and documentation to provide actionable engineering patterns.

Acerca de

This skill transforms Claude into a rigorous technical researcher that prioritizes production-grade code over generic tutorials. By leveraging specialized GitHub literal search patterns and Exa web scraping tools, it investigates technologies, compares frameworks, and solves complex debugging issues. It moves beyond theory by finding how developers actually use libraries in the wild, synthesizing these findings into structured, timestamped Markdown reports stored directly within your project's research directory.

Características Principales

Multi-source verification to cross-reference official docs with community implementations
Automated synthesis of findings into structured reports with evidence-based recommendations
Literal GitHub code search to identify real-world production usage patterns
81 GitHub stars
Real-time documentation and web scraping via Exa tools for up-to-date context
Standardized research storage in project-specific documentation folders

Casos de Uso

Debugging architectural issues by searching for similar code patterns and resolutions in public repositories
Investigating the correct implementation of a new library or SDK using actual code examples
Comparing competing technologies based on recent production adoption and developer sentiment

Acerca de

Características Principales

Multi-source verification to cross-reference official docs with community implementations
Automated synthesis of findings into structured reports with evidence-based recommendations
Literal GitHub code search to identify real-world production usage patterns
81 GitHub stars
Real-time documentation and web scraping via Exa tools for up-to-date context
Standardized research storage in project-specific documentation folders

Casos de Uso

Debugging architectural issues by searching for similar code patterns and resolutions in public repositories
Investigating the correct implementation of a new library or SDK using actual code examples
Comparing competing technologies based on recent production adoption and developer sentiment