search

Search web, library docs, and GitHub repositories via Tavily, Context7, and GitHub Grep.

4|Updated Dec 14, 2025
One-click install
npx skills add https://github.com/LukasStrickler/ai-dev-atelier --skill search-lukasstrickler
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: search
Source: https://github.com/LukasStrickler/ai-dev-atelier/tree/main/content/skills/search
Command: npx skills add https://github.com/LukasStrickler/ai-dev-atelier --skill search-lukasstrickler

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables agents to efficiently locate authoritative information across the web, library documentation, and GitHub code using structured multi-source workflows.

Core Features & Use Cases

  • Progressive escalation search that starts with web docs and expands to library APIs and example code across sources.
  • Use cases include finding official library documentation, discovering code examples or tutorials, retrieving API references, researching best practices, and troubleshooting errors.
  • Real-world scenario: quickly gather installation instructions and usage patterns for a new framework.

Quick Start

Ask the skill to search for a topic, e.g., "React useState best practices." The system will run Tavily, Context7, and GitHub Grep MCPs and escalate results if needed, returning the most relevant sources for immediate use.

Frequently Asked Questions about search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search library documentation and find code examples for a new framework?

To search library documentation and find code examples, use a progressive escalation workflow that queries web sources, official docs, and GitHub repositories, returning the most relevant API references and installation instructions for immediate use.

What's the best way to research best practices and troubleshoot API errors across multiple sources?

Researching best practices and troubleshooting API errors is best handled by coordinating multi-source lookups across web, documentation, and code repositories with structured escalation, preserving source relevance signals for downstream context.

Does this documentation search approach use Context7 and Tavily for retrieving API references?

Yes, retrieving API references uses Context7 for library documentation and Tavily for web search, escalating to GitHub Grep to locate code examples when initial results need expansion.

Can I find installation instructions and usage patterns by searching GitHub repositories?

Yes, you can find installation instructions and usage patterns by searching GitHub repositories using GitHub Grep, which runs alongside web and documentation lookups to gather comprehensive framework usage data.

When should I not use a progressive escalation search for locating library documentation?

Progressive escalation search for locating library documentation is not ideal when you already know the exact source URL or need a single specific API reference, as the workflow is designed to coordinate broad multi-source lookups with structured relevance signals.

How do web search and GitHub code search work together when researching tutorials?

Web search and GitHub code search work together through a structured escalation workflow that starts with web docs and expands to library APIs and example code across sources, ensuring comprehensive tutorial and best practice coverage.