Does this skill work with monorepos?

Absolutely. It is designed as part of the Uniswap AI Toolkit, which is built for Nx monorepos and handles large-scale codebase analysis efficiently.

How does the Topic Researcher access external documentation?

The skill utilizes WebSearch and WebFetch tools to browse official documentation, technical blogs, and API references in real-time during your session.

Can it compare my local code to industry standards?

Yes, it uses tools like Grep, Glob, and Git to analyze your local repository and then benchmarks your patterns against researched best practices.

Which AI model powers this research skill?

This skill is specifically configured to use the Claude 3 Opus model, which provides high-reasoning capabilities for complex synthesis and technical analysis.

Technical Topic Researcher

Name: Technical Topic Researcher
Author: Uniswap

byUniswap

•

Learning & Documentation

Conducts deep research into external documentation and industry best practices while cross-referencing findings with your internal codebase.

About

The Technical Topic Researcher skill bridges the gap between the vast knowledge of the web and the specific context of your project. By combining real-time web searching and document fetching with deep codebase analysis via tools like Grep and Git, it provides a comprehensive view of how to implement features correctly. It is particularly effective for learning new libraries, comparing internal implementations against industry standards, and ensuring that your project follows the most up-to-date architectural patterns recommended by official sources.

Key Features

Real-time lookup for external APIs, libraries, and frameworks
13 GitHub stars
Automated synthesis of industry best practices with local patterns
Identification of implementation risks and technical 'gotchas'
Simultaneous web documentation and internal codebase analysis
Actionable recommendations based on official technical references

Use Cases

Researching the best way to implement complex features like authentication or caching within a specific architecture
Comparing local code patterns against official library updates to identify technical debt
Understanding new frameworks by fetching documentation and mapping it to existing project structures

About

Key Features

Real-time lookup for external APIs, libraries, and frameworks
13 GitHub stars
Automated synthesis of industry best practices with local patterns
Identification of implementation risks and technical 'gotchas'
Simultaneous web documentation and internal codebase analysis
Actionable recommendations based on official technical references

Use Cases

Researching the best way to implement complex features like authentication or caching within a specific architecture
Comparing local code patterns against official library updates to identify technical debt
Understanding new frameworks by fetching documentation and mapping it to existing project structures