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web-research

Run Google AI Mode searches and return cited, AI-synthesized answers.

6|Updated Mar 26, 2026
Search Tags:#search#citations#query-optimization#web-research#browser-automation#captcha#google-ai
One-click install
npx skills add https://github.com/thensls/nsls-builder-toolkit --skill web-research-thensls
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-research
Source: https://github.com/thensls/nsls-builder-toolkit/tree/main/skills/web-research
Command: npx skills add https://github.com/thensls/nsls-builder-toolkit --skill web-research-thensls

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Web research is slow, fragmented, and often out of date; this skill consolidates current web information into a single, AI-synthesized answer with source citations so users get reliable, up-to-date results without manual aggregation.

Core Features & Use Cases

  • Google AI Mode integration: Runs automated searches that synthesize information from many sources and returns cited summaries.
  • Query optimization & workflow: Rewrites user queries for better results, runs searches with saving enabled, and reads saved results to present a structured answer.
  • First-run and troubleshooting support: Auto-installs dependencies, creates a Python venv, downloads Chrome, and provides a --show-browser flow to resolve CAPTCHAs on first use.
  • Use Case: Quickly compare technical options, fetch the latest library changes, gather documentation snippets, or produce evidence-backed answers for investigations and reports.

Quick Start

Use the web-research skill to run a Google AI Mode search for "React hooks best practices 2026 (useState, useEffect, custom hooks) and return a cited, structured summary."

Frequently Asked Questions about web-research

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

FAQPage Schema
How do I get cited web research answers for technical comparisons?▼

AI-synthesized web research answers provide cited results for technical comparisons by running automated Google AI Mode searches, consolidating current web information into a structured summary with source citations.

How do I automate Google AI Mode searches to save web research results?▼

Automate Google AI Mode searches by applying query optimization to rewrite inputs, executing searches with saving enabled, and reading the saved results from a results/ folder to present structured answers.

Do I need to install Python and Chrome locally to run automated web research?▼

Local Python and Chrome setup is required for automated web research; the skill auto-installs dependencies, creates a Python venv, and downloads Chrome to support browser automation workflows.

How do I resolve browser CAPTCHA when running automated web searches for the first time?▼

Resolve first-run browser CAPTCHA during automated web searches by using the provided --show-browser flow, which displays the browser interface to manually complete the verification prompt.

When should I use AI-synthesized web research instead of manual search?▼

Use AI-synthesized web research instead of manual search for tasks requiring current information beyond the model cutoff, such as fetching latest library changes, documentation lookups, and evidence-backed investigations.

Why does query optimization matter for web research automation?▼

Query optimization improves web research automation by rewriting user queries for better search results, ensuring the automated Google AI Mode searches retrieve highly relevant and current source information.

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