What does the MCP Tools Efficiency skill do?

It provides optimized patterns and guidance for using MCP tools like context7 and fetch to find information without overloading the AI's context window.

Can this skill help with Material-UI or React development?

Yes, it includes specific use cases for searching MUI components, React hooks, and TypeScript types to get you back to coding faster.

Does this work with browser automation tools like Playwright?

Absolutely. It includes patterns for debugging Playwright browser actions and element selectors using targeted MCP tool queries.

Why is searching better than loading full documentation?

Loading full documentation is slow, expensive in terms of tokens, and can confuse the AI with irrelevant data. Searching is faster and provides more precise answers.

How do I use this skill for error resolution?

The skill provides templates to search for exact error messages combined with library names to find community-proven solutions instantly.

MCP Tools Efficiency

Name: MCP Tools Efficiency
Author: usmanali4073

byusmanali4073

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Productividad y Flujo de Trabajo

Optimizes documentation lookup and error resolution by using targeted search patterns instead of loading entire contexts.

Acerca de

The MCP Tools Efficiency skill is designed to prevent context window bloat and improve response speed by teaching Claude to use tools like context7 and fetch with surgical precision. Instead of loading thousands of pages of documentation, this skill provides standardized query patterns for specific errors, API references, and implementation best practices. By focusing on search-first strategies, it ensures that Claude remains fast, cost-effective, and highly accurate during complex development tasks.

Características Principales

Integration strategies for multiple agent roles to maintain workflow efficiency
Search-first documentation lookup using context7 to minimize token usage
Predefined query patterns for popular libraries like React, MUI, and Playwright
Precise API fetching patterns to retrieve only relevant reference pages
1 GitHub stars
Error-driven learning templates for instant troubleshooting and prevention

Casos de Uso

Troubleshooting environment-specific issues like Docker networking or Playwright browser actions
Implementing complex UI layouts by fetching specific component API props and responsive breakpoints
Resolving specific runtime errors by searching verbatim messages instead of reading full library docs

Acerca de

Características Principales

Integration strategies for multiple agent roles to maintain workflow efficiency
Search-first documentation lookup using context7 to minimize token usage
Predefined query patterns for popular libraries like React, MUI, and Playwright
Precise API fetching patterns to retrieve only relevant reference pages
1 GitHub stars
Error-driven learning templates for instant troubleshooting and prevention

Casos de Uso

Troubleshooting environment-specific issues like Docker networking or Playwright browser actions
Implementing complex UI layouts by fetching specific component API props and responsive breakpoints
Resolving specific runtime errors by searching verbatim messages instead of reading full library docs