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web-search-patterns

npx machina-cli add skill d-oit/gemini-search-plugin/web-search-patterns --openclaw
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SKILL.md
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Web Search Patterns

This document outlines best practices and patterns for using the Gemini Search plugin.

Search Query Optimization

Query Structure

  • Use specific keywords rather than broad terms
  • Include context words when needed
  • Avoid ambiguous phrases
  • Formulate questions as direct queries

Effective Search Patterns

Informational Queries

  • "What is [topic]?"
  • "[Topic] overview"
  • "How does [process] work?"

Comparative Queries

  • "[A] vs [B]"
  • "Difference between [A] and [B]"
  • "Compare [A] vs [B]"

Problem-Solving Queries

  • "[Problem] solution"
  • "How to fix [problem]"
  • "Troubleshooting [issue]"

Advanced Search Techniques

Boolean Operations

  • Use quotes for exact phrases: "exact phrase"
  • Use AND, OR, NOT operators
  • Use wildcards: [term]* or [term]?

Source Filtering

  • Domain-specific searches: [query] site:domain.com
  • Date filtering when available
  • Content type filtering

Best Practices

Before Searching

  1. Clarify your search intent
  2. Think of multiple ways to phrase the question
  3. Consider related terms or synonyms

After Search

  1. Verify source reliability
  2. Cross-reference important facts
  3. Note the search date for time-sensitive topics

Performance Considerations

  • Be specific to reduce irrelevant results
  • Use the cache when re-searching similar topics
  • Check /search-stats to understand usage patterns

Source

git clone https://github.com/d-oit/gemini-search-plugin/blob/main/skills/web-search-patterns/SKILL.mdView on GitHub

Overview

Provides practical patterns for crafting precise searches using Gemini Search. It covers query structure, informational/comparative/problem-solving patterns, advanced operators, and best practices before/after searching to boost relevance, reliability, and speed.

How This Skill Works

Claude applies structured query templates derived from informational, comparative, and problem-solving patterns. It uses boolean operators, quotes for exact phrases, domain and date filtering, and content-type controls, then verifies results and cross-checks key facts.

When to Use It

  • Beginning a topic to get a clear overview and context
  • Comparing two technologies, terms, or products
  • Troubleshooting a specific problem or error
  • Filtering results to a domain, date, or content type
  • Validating facts by cross-referencing multiple sources

Quick Start

  1. Step 1: Clarify intent and draft multiple phrasings for the topic
  2. Step 2: Build targeted queries using informational/comparative patterns, apply quotes and site: filters
  3. Step 3: Review sources, cross-check facts, and note the search date

Best Practices

  • Clarify your search intent before you start
  • Brainstorm multiple phrasings and synonyms for the topic
  • Include context words and be specific in keywords
  • Verify source reliability after collecting results
  • Cross-reference important facts and note the search date

Example Use Cases

  • What is quantum entanglement? (informational pattern)
  • Quantum computing overview (informational)
  • Python vs Java performance difference (comparative)
  • How to fix 502 gateway error (problem-solving)
  • site:example.com climate change overview (domain-filtered)

Frequently Asked Questions

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