web-research

Retrieve official documentation and best-practice examples via a gemini-search agent.

13|1|Updated Oct 22, 2025

Search Tags:#best practices #documentation #research #troubleshooting #software development #web search #token efficiency

Ready to run

npx skills add https://github.com/d-oit/gemini-search-plugin --skill web-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: web-research
Source: https://github.com/d-oit/gemini-search-plugin/tree/main/.claude/skills/web-research
Command: npx skills add https://github.com/d-oit/gemini-search-plugin --skill web-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a token-efficient way to perform web research, reducing API costs and improving response times. It leverages caching and context isolation to deliver structured, relevant information without unnecessary token usage, making research faster and more economical.

Core Features & Use Cases

Token-Efficient Search: Utilizes the gemini-search agent in an isolated context, saving 30-40% of tokens on research tasks.
Smart Caching: Caches search results for a configurable duration (default 1 hour), preventing redundant API calls and speeding up repeated queries.
Structured Research Patterns: Offers predefined patterns for documentation, best practices, troubleshooting, tool research, and comparative analysis.
Use Case: A user needs to quickly find the latest best practices for a specific programming framework. Instead of manually browsing, this skill performs a targeted, cached search, providing a concise summary and source URLs, saving both time and tokens.

Quick Start

Invoke the gemini-search agent for research

Use the Task tool with:

subagent_type: "gemini-search:gemini-search"
description: "Research Claude Code skills"
prompt: "Search for comprehensive documentation about Claude Code skills."

Frequently Asked Questions about web-research

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

FAQPage Schema

How do I perform web research without using excessive tokens?▼

Web research using token-efficient methods leverages isolated search agents with caching to reduce API costs by 30-40%. This approach retrieves official documentation and best practices in structured format, saving tokens on repeated queries through configurable 1-hour caching.

Can I cache web search results to avoid redundant API calls?▼

Yes, smart caching stores search results for a configurable duration—default 1 hour—preventing duplicate API calls and speeding up repeated queries on the same topics while reducing overall token consumption.

What's the best way to research official documentation and best practices?▼

Structured research patterns retrieve official documentation, best practices, troubleshooting guides, tool information, and code patterns through targeted searches. Results include source URLs and concise summaries, enabling quick reference without manual browsing.

How do I integrate web research into my software development workflow?▼

Invoke web research through Task-based agent integration using the gemini-search interface. Provide a research description and prompt, and receive structured results with sources and analytics tracking for seamless workflow incorporation.

What types of information can web research help me find?▼

Web research retrieves official documentation, API references, best practices, troubleshooting solutions, framework and tool information, and code patterns across software projects in a single structured query.

Does web research support comparative analysis across multiple tools?▼

Yes, predefined patterns support comparative analysis alongside documentation lookup, best practices research, troubleshooting, and tool research, all delivered through isolated context to maintain focus and reduce token overhead.