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Estrella-231
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parallel-web

Automate web search, content extraction, and multi-source research with JSON output.

Updated May 24, 2026
Search Tags:#web search#data enrichment#citation#deep research#url extraction#academic sources
One-click install
npx skills add https://github.com/Estrella-231/Mathematical_modeling_tongmeng --skill parallel-web-estrella-231
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-web
Source: https://github.com/Estrella-231/Mathematical_modeling_tongmeng/tree/main/.agents/skills/parallel-web
Command: npx skills add https://github.com/Estrella-231/Mathematical_modeling_tongmeng --skill parallel-web-estrella-231

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the time-consuming process of manually searching the web, opening pages, and compiling citations by automating web lookup, content extraction, and evidence-grounded research.

Core Features & Use Cases

  • Web Search with Academic Prioritization: Find up-to-date technical and scientific sources, emphasizing peer-reviewed papers, preprints, and scholarly databases.
  • URL Content Extraction (Web Extract): Fetch and extract the most valuable parts of a specific webpage or academic document (including PDFs) into structured output.
  • Deep, Multi-Source Research (On Demand): Generate exhaustive, literature-grounded reports with strict inline citations and a clear sources section.
  • Bulk Data Enrichment: Add web-sourced fields to lists or CSV datasets without running repeated manual searches.

Quick Start

Ask the AI to find peer-reviewed and preprint sources about the topic "Wardrop equilibrium modeling" and return the results with citations.

Frequently Asked Questions about parallel-web

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

FAQPage Schema
How do I automate web search and data extraction for academic sources?▼

Automated web search prioritizes scholarly databases, peer-reviewed papers, and preprints to extract structured content and compile literature-backed research without manual browsing.

Can I extract content from a specific URL or academic PDF document?▼

URL content extraction fetches specific webpages and academic PDFs, pulling the most valuable parts into structured JSON output suitable for downstream processing.

What is the best way to enrich a CSV dataset with web-sourced fields?▼

Bulk data enrichment automates web lookups to add sourced fields to lists or CSV datasets, eliminating repeated manual searches and returning structured JSON results.

How do I generate literature-grounded reports with inline citations?▼

Deep multi-source research generates exhaustive reports by automatically aggregating technical and scientific sources, applying strict inline citations, and outputting a clear sources section.

Does this web research tool support interaction context chaining?▼

Yes, the automated web search and extraction process supports interaction-context chaining via interaction_id, allowing sequential queries to maintain context for multi-turn research tasks.

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