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agentic-search

Performs web research with citations and outputs structured Markdown summaries.

18|1|Updated Apr 8, 2026
Search Tags:#automation#research#citations#grok#data-extraction#web-scraping
One-click install
npx skills add https://github.com/appautomaton/webmaton --skill agentic-search
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agentic-search
Source: https://github.com/appautomaton/webmaton/tree/main/skills/agentic-search
Command: npx skills add https://github.com/appautomaton/webmaton --skill agentic-search

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, tenacity, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the problem of shallow, unverified AI research by providing a robust, multi-step framework for deep web investigation, grounded citations, and verifiable source discovery.

Core Features & Use Cases

  • Grounded Research: Performs deep research with verifiable citations and verbatim quote extraction.
  • Multi-Engine Fetching: Converts complex web pages into clean, structured Markdown using specialized engines like Tavily, Firecrawl, or Grok.
  • Composable Sessions: Maintains research sessions on disk, allowing for iterative refinement, source reranking, and multi-step information synthesis.
  • Use Case: Use this skill when you need to research a complex technical topic, extract specific quotes from multiple academic sources, or map out documentation across a large website.

Quick Start

Use the agentic-search skill to research the latest developments in agentic AI frameworks and provide a summary with grounded citations.

Frequently Asked Questions about agentic-search

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

FAQPage Schema
How do I get grounded citations and verbatim quotes for deep web research?▼

You achieve grounded citations by performing multi-step web investigation and high-fidelity page extraction, which provides verifiable source discovery and verbatim quote extraction for complex queries.

What is the best way to convert complex web pages into structured Markdown for AI agents?▼

The best way to convert complex web pages into structured Markdown is by using specialized multi-engine fetching tools like Tavily, Firecrawl, or Grok to extract clean data for AI agents.

Can I maintain persistent research sessions to iteratively refine and rerank sources?▼

Yes, you can maintain composable research sessions on disk, enabling iterative refinement, source reranking, and multi-step information synthesis across multiple search providers.

How do I extract specific information from multiple academic sources automatically?▼

You extract specific information by running automated multi-step research workflows that perform site mapping, verbatim quote extraction, and source reranking across multiple academic sources.

Does this web scraping approach support mapping out documentation across a large website?▼

Yes, this approach supports mapping out documentation across large websites through its multi-step research workflows and high-fidelity page extraction capabilities.

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