Which search tools does this skill use?

It prioritizes specialized MCP servers like Tavily and Exa for high-quality technical data, falling back to built-in web search tools if they aren't configured.

What is the difference between a Quick-check and a Deep-dive?

A Quick-check takes under a minute for simple verifications like function names, while a Deep-dive takes 5-15 minutes for complex architectural decisions and requires user permission before starting.

Does it save the research results?

Deep-dive findings are saved into specific markdown files within your repository for team reference, while quick verifications stay within the conversation flow.

When should I use the Research skill?

Use it whenever you encounter version-specific errors, are implementing security-critical features like auth, or are working with rapidly evolving libraries.

AI Technical Research Assistant

Name: AI Technical Research Assistant
Author: Light-Brands

byLight-Brands

0•

Productivity & Workflow

Verifies real-time technical documentation and API changes to prevent broken implementations and reduce debugging time.

The Research skill empowers Claude to bridge the gap between its training data and the current state of the web. It is designed to prevent 'hallucinations' regarding evolving APIs, security protocols, and library versions by performing real-time searches. Whether performing a sub-minute 'Quick-check' for a function signature or a 15-minute 'Deep-dive' into architectural patterns, this skill ensures that development decisions are based on the latest official documentation and community best practices, saving developers hours of troubleshooting outdated implementations.

Key Features

01Automated identification of research triggers like security-critical code or version-specific errors

02Dual-mode search strategy: Quick-checks for instant verification and Deep-dives for architectural planning

03Standardized output format that emphasizes scannable migration paths and code examples

04Seamless integration with Tavily and Exa MCP servers for high-quality, code-centric search results

050 GitHub stars

06Prioritized sourcing from official documentation, changelogs, and GitHub releases

Use Cases

01Verifying breaking changes during major library migrations like React or Stripe

02Performing technical discovery to choose between competing technologies or frameworks

03Researching secure implementation patterns for authentication, payments, or file handling

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add light-brands/ntx research

For use in Claude.ai and ChatGPT

Download Skill