When is it best to trigger a Deep Dive vs a Quick Check?

Use a Quick Check for immediate syntax or version needs. Use a Deep Dive for major architectural decisions, security-critical implementations, or complex debugging.

Does it save the research results to my repository?

Quick checks stay within the chat context, but 'Deep Dive' research results are automatically saved as markdown files in a research folder for your team's future reference.

How does the Research skill handle outdated information?

The skill uses real-time web search via MCP servers or built-in tools to fetch current documentation and changelogs, effectively bypassing the AI's training data cutoff.

Which search tools does the Research skill use?

It prioritizes developer-centric MCP servers like Tavily and Exa for high-quality technical results, falling back to standard built-in web search when necessary.

Smart Web Research & API Verification

Name: Smart Web Research & API Verification
Author: Light-Brands

byLight-Brands

Developer Tools

Verifies real-time API documentation, library versions, and architectural best practices to ensure code accuracy and security.

About

The Research skill empowers Claude Code to bridge the gap between its training data and the current state of the web, preventing technical debt by actively verifying API changes and checking for deprecated methods. It facilitates two distinct modes: high-speed 'Quick Checks' for immediate syntax or version verification, and comprehensive 'Deep Dives' for architectural decision-making and technology comparisons. By integrating with specialized MCP servers and official documentation sources, this skill ensures that every line of code is based on the most current, secure, and performant standards available.

Key Features

Proactive detection of breaking changes and deprecated implementations
Real-time web verification for APIs and library versions
Automated documentation of research findings in markdown format
Dual-mode research: 60-second Quick Checks and 15-minute Deep Dives
Multi-tool support including Tavily and Exa MCP servers
0 GitHub stars

Use Cases

Conducting architectural research to compare competing frameworks before implementation
Verifying if a specific API payload or library method is still supported in the latest version
Resolving version-specific errors by consulting official changelogs and community discussions

About

Key Features

Proactive detection of breaking changes and deprecated implementations
Real-time web verification for APIs and library versions
Automated documentation of research findings in markdown format
Dual-mode research: 60-second Quick Checks and 15-minute Deep Dives
Multi-tool support including Tavily and Exa MCP servers
0 GitHub stars

Use Cases

Conducting architectural research to compare competing frameworks before implementation
Verifying if a specific API payload or library method is still supported in the latest version
Resolving version-specific errors by consulting official changelogs and community discussions