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D0NMEGA
D0NMEGACOMMUNITY
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web-research

Consolidate multi-source web research into a ranked JSON and MD digest.

8|Updated Apr 9, 2026
Search Tags:#research#web#digest#multisource#browser-harness#open-api#scrapers
One-click install
npx skills add https://github.com/D0NMEGA/donnyclaude --skill web-research-d0nmega
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-research
Source: https://github.com/D0NMEGA/donnyclaude/tree/main/packages/skills/web-research
Command: npx skills add https://github.com/D0NMEGA/donnyclaude --skill web-research-d0nmega

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidates multi-source web research results into a unified, ranked digest for quick decision-making.

Core Features & Use Cases

  • Multi-source scrapers aggregate data from open APIs and browser-enabled sites into a consistent JSON envelope and a digest MD.
  • Supports GSD research phases and planning with topic explorations, literature reviews, and model/tool comparisons.
  • Outputs include per-source status, merged results, and a ranked digest suitable for briefing and decision making.

Quick Start

Run a topic-wide web research using the multi-source scrapers to generate a ranked digest.

Frequently Asked Questions about web-research

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

FAQPage Schema
How do I consolidate multi-source web research into a single digest?▼

Multi-source web research consolidation aggregates data from open APIs and browser-enabled sites into a consistent JSON envelope and digest MD. It coordinates scrapers to merge results for quick decision-making.

Can I scrape authenticated sites for literature reviews and model comparisons?▼

Yes, you can scrape authenticated sites for literature reviews and model comparisons using a browser-harness. It enables authenticated site access alongside open API sources to gather comprehensive research data.

What is the best way to automate topic exploration across multiple data sources?▼

Automating topic exploration across multiple data sources is best handled by multi-source scrapers that normalize results into a ranked digest. This supports GSD research phases by providing per-source status and merged results.

Does the web research toolkit output both JSON and Markdown formats?▼

Yes, the web research toolkit outputs both JSON and Markdown formats. It normalizes aggregated data into a consistent JSON envelope and a digest MD file suitable for briefing and decision making.

How do I generate a ranked digest for AI agent and library research?▼

Generate a ranked digest for AI agent and library research by running multi-source scrapers across open APIs and browser-harness sites. The toolkit applies ranking to merged results for decision support.

What are the limitations of using scrapers for web research automation?▼

Web research automation limitations depend on site accessibility and API availability for scrapers. While browser-harness supports authenticated sites, source-specific status reporting indicates when data aggregation encounters access restrictions.

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