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web-parallel-web

Search the web, conduct deep research, and extract URL content with saved results.

Updated Mar 13, 2026
Search Tags:#research#web search#information gathering#web scraping#content extraction#parallel api
One-click install
npx skills add https://github.com/biomaps-infra/blender-opencode --skill web-parallel-web
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-parallel-web
Source: https://github.com/biomaps-infra/blender-opencode/tree/main/.opencode/skills/web-parallel-web
Command: npx skills add https://github.com/biomaps-infra/blender-opencode --skill web-parallel-web

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, parallel-web, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a unified interface for all web-based information gathering, from quick searches to deep research and specific URL content extraction, ensuring all data is systematically saved for reproducibility.

Core Features & Use Cases

  • Web Search: Perform general web searches and get synthesized summaries with citations.
  • Deep Research: Conduct comprehensive, multi-source research reports on any topic.
  • URL Extraction: Extract specific content from URLs for verification or detailed analysis.
  • Use Case: When writing a scientific paper, use this Skill to gather background information, find supporting research papers, and verify citation details from specific URLs, saving all findings to a central sources/ directory.

Quick Start

Use the web-parallel-web skill to search the web for 'latest advances in quantum computing 2025' and save the results to a file.

Frequently Asked Questions about web-parallel-web

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

FAQPage Schema
How do I extract web content from specific URLs for research verification?▼

You can extract web content from specific URLs by using the URL extraction feature, which retrieves targeted page data and saves all findings to a designated sources directory for verification and reproducibility.

What is the best way to conduct multi-source web research and save the results?▼

Conducting multi-source web research is best handled by using the deep research function, which synthesizes comprehensive reports from various sources and mandates saving all gathered information to a sources directory for auditability.

Do I need an API key to perform web searches and gather information?▼

Yes, an API key configuration is required to perform web searches and gather information, alongside specific Python package installations including the openai and parallel-web dependencies for the integrated API client to function.

Can I use Python to automate web scraping and generate synthesized summaries with citations?▼

Yes, you can use Python to automate web scraping and generate synthesized summaries with citations by leveraging the integrated API client, which handles general web searches and saves the output systematically.

Why does my web research workflow require saving all results to a sources directory?▼

Your web research workflow requires saving all results to a sources directory to ensure reproducibility and auditability, meaning every piece of extracted information or search result can be verified and traced back to its origin.

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