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google-search

Construct advanced search queries with Boolean operators and credibility-based ranking.

9|2|Updated Mar 2, 2026
Search Tags:#deduplication#information-retrieval#google-search#source-credibility#query-construction#operator-filters
One-click install
npx skills add https://github.com/botlearn-ai/botlearn-skills --skill google-search-botlearn-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: google-search
Source: https://github.com/botlearn-ai/botlearn-skills/tree/main/skills/google-search
Command: npx skills add https://github.com/botlearn-ai/botlearn-skills --skill google-search-botlearn-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps OpenClaw agents transform vague requests into precise, source-credible search strategies, reducing noise and surfacing high-quality results quickly.

Core Features & Use Cases

  • Advanced query construction using Boolean operators, site filters, date ranges, filetype filters, and exclusion terms
  • Multi-source execution with sub-query decomposition for complex topics
  • Credibility-aware ranking, deduplication, and synthesis across sources
  • Use case: perform time-sensitive investigations, cross-verify facts, and compare sources across domains

Quick Start

Ask the agent to locate official documentation for a given topic using site:, after:, and filetype constraints as needed.

Frequently Asked Questions about google-search

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

FAQPage Schema
How do I construct advanced search queries to find official documentation and filter out low-quality results?▼

Construct advanced search queries by applying Boolean operators, site filters, filetype constraints, and exclusion terms to surface credible sources and reduce noise during information retrieval.

What is the best way to cross-verify facts across multiple domains for time-sensitive investigations?▼

The best way to cross-verify facts is using sub-query decomposition and multi-source fusion, which breaks complex topics into targeted searches and synthesizes results across domains.

How does credibility-based ranking work when retrieving information from search results?▼

Credibility-based ranking evaluates retrieved sources by applying deduplication and ranking rules to prioritize high-quality, authoritative sources during multi-source information retrieval.

Can I use site and filetype filters to locate specific official documents within a large domain?▼

Yes, you can apply site and filetype filters alongside date range constraints to locate official documentation, pinpointing specific file types within targeted domains.

Why does my search return duplicate or conflicting sources when researching complex topics?▼

Search returns duplicates because standard queries lack sub-query decomposition and deduplication rules, which are needed to break down complex topics and filter overlapping sources.

What are the limitations of using Boolean operators and exclusion terms for competitive analysis?▼

Boolean operators and exclusion terms require precise query construction, and poorly structured exclusion logic may inadvertently filter out relevant competitive analysis sources.

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