Does the research skill provide code examples?

Yes, every research report generated includes implementation recommendations, code snippets, and common pitfalls to avoid.

What is the Research skill in Claude Code?

The Research skill is a specialized capability that allows Claude to conduct systematic technical investigations, analyze documentation, and produce detailed reports for project planning.

How does this skill gather information?

It uses a multi-source strategy including the Gemini command, web searches, and the docs-seeker skill to analyze GitHub repositories and official documentation.

How does it ensure the information is up-to-date?

The skill prioritizes content from the last 12 months, checks publication dates, and cross-references multiple independent sources to validate currency.

Technical Research & Planning

Name: Technical Research & Planning
Author: KanTrun

byKanTrun

Learning & Documentation

Conducts deep technical investigations and generates comprehensive reports to plan scalable, secure, and maintainable software solutions.

About

This skill empowers Claude to perform exhaustive technical investigations using multi-source strategies including Gemini, WebSearch, and GitHub analysis. It systematically evaluates technologies, cross-references documentation, and identifies best practices to produce high-quality research reports. Designed with a focus on efficiency and technical honesty, it helps developers make informed architectural decisions by providing strategic technical intelligence while strictly adhering to YAGNI and KISS principles.

Key Features

Cross-reference validation to ensure accuracy and currency of technical data
0 GitHub stars
Automated generation of detailed Markdown reports with executive summaries
Deep content analysis of GitHub repositories and official documentation
Actionable implementation recommendations including code examples and pitfalls
Multi-source information gathering using Gemini and WebSearch tools

Use Cases

Investigating security vulnerabilities and best practices for cloud infrastructure
Planning the architecture of a scalable microservices system
Evaluating and comparing new libraries or frameworks for a project migration

About

Key Features

Cross-reference validation to ensure accuracy and currency of technical data
0 GitHub stars
Automated generation of detailed Markdown reports with executive summaries
Deep content analysis of GitHub repositories and official documentation
Actionable implementation recommendations including code examples and pitfalls
Multi-source information gathering using Gemini and WebSearch tools

Use Cases

Investigating security vulnerabilities and best practices for cloud infrastructure
Planning the architecture of a scalable microservices system
Evaluating and comparing new libraries or frameworks for a project migration