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web-search

Orchestrate multi-source web searches with parallel routing and RRF fusion.

4|1|Updated Feb 20, 2026
Search Tags:#information retrieval#llm#web search#multi-source#synthesis#ranking
One-click install
npx skills add https://github.com/lodekeeper/dotfiles --skill web-search-lodekeeper
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-search
Source: https://github.com/lodekeeper/dotfiles/tree/main/skills/web-search
Command: npx skills add https://github.com/lodekeeper/dotfiles --skill web-search-lodekeeper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates and enhances web searches by intelligently querying multiple sources, ranking results, and synthesizing information, overcoming the limitations of single-tool searches.

Core Features & Use Cases

  • Multi-Source Orchestration: Queries providers like DuckDuckGo, Brave, GitHub, Semantic Scholar, Stack Exchange, Wikipedia, HN, and ethresear.ch.
  • Intelligent Routing: Classifies queries to select the most relevant providers.
  • Advanced Ranking & Deduplication: Uses RRF fusion and quality signals for superior result ordering.
  • Optional Synthesis: Generates a summarized answer with citations in deep mode.
  • Use Case: When researching a complex technical topic like "latest advancements in zero-knowledge proofs for Ethereum scalability," this skill can query academic papers, code repositories, and specialized forums to provide a comprehensive overview.

Quick Start

Use the web-search skill to find information about 'latest advancements in zero-knowledge proofs for Ethereum scalability' with deep synthesis.

Frequently Asked Questions about web-search

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

FAQPage Schema
How do I orchestrate multi-source web searches for complex technical research?▼

To perform multi-source information retrieval, this skill classifies queries and routes them in parallel to providers like DuckDuckGo, GitHub, and Semantic Scholar. It ranks results using RRF fusion and optionally synthesizes cited answers.

What is the best way to search academic papers and code repositories simultaneously?▼

The best way to search academic papers and code repositories simultaneously is using intelligent routing, which classifies queries to select relevant providers like Semantic Scholar and GitHub, aggregating results for a unified overview.

How does RRF fusion and quality signals improve search result ranking?▼

RRF fusion and quality signals improve search result ranking by merging results from multiple parallel providers and deduplicating them. This ensures superior result ordering compared to relying on a single search source.

Can I synthesize summarized answers with citations from multiple search providers?▼

Yes, you can synthesize summarized answers with citations by enabling deep mode. This processes ranked, deduplicated results from providers like Wikipedia, HN, and Stack Exchange to generate a comprehensive overview.

Does this multi-source web search approach support Ethereum-specific queries?▼

Yes, this multi-source web search approach supports Ethereum-specific queries by routing them to specialized providers like ethresear.ch. This aggregates relevant technical discussions alongside general web results.

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