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Srajangpt1
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deep-research

Research web sources, save markdown files, and generate HTML and PDF reports.

Updated Apr 12, 2026
Search Tags:#automation#pdf#research#synthesis#web-research#browser-automation#report-generation
One-click install
npx skills add https://github.com/Srajangpt1/dataeye --skill deep-research-srajangpt1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/Srajangpt1/dataeye/tree/main/packages/browseros-agent/apps/server/src/skills/defaults/deep-research
Command: npx skills add https://github.com/Srajangpt1/dataeye --skill deep-research-srajangpt1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates thorough web research by opening parallel browser tabs, persisting raw source content to disk, synthesizing findings incrementally, and producing a citation-linked HTML report plus PDF so users avoid manual tab management, copying, and ad hoc note-taking.

Core Features & Use Cases

  • Parallel browsing & extraction: Open hidden pages, run searches, follow top results, and extract full page text and links for each source.
  • On-disk persistence for traceability: Save each source as a markdown file with title, URL, and retrieval date so every claim is traceable back to its origin.
  • Incremental synthesis & report generation: Append findings to findings.md while processing sources, generate a self-contained report.html with linked sources, and export a report.pdf for sharing.
  • Use Case: Compile a concise evidence-based report for product comparisons, literature reviews, competitive analysis, or investigative briefs with clickable source links and a summary of agreements and disagreements.

Quick Start

Use the deep-research skill to investigate "best standing desks 2025" and save the results into a new folder named research-best-standing-desks.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate web research and generate a PDF report with citations?▼

Automating web research with this Skill involves opening parallel browser tabs, extracting page content, saving sources as markdown files, and synthesizing findings into a citation-linked HTML report and PDF, eliminating manual copying.

What is parallel web research and how does it ensure source traceability?▼

Parallel web research processes multiple sources simultaneously, saving each as a markdown file with title, URL, and retrieval date. This on-disk persistence ensures every synthesized claim is traceable to its origin.

How do I compile a comparative product evaluation report from multiple web sources?▼

Compiling a comparative product evaluation requires extracting full page text from top search results across parallel tabs, incrementally assembling findings, and generating a self-contained HTML report summarizing agreements and disagreements with clickable source links.

Can I use this for literature reviews and cross-source verification?▼

Yes, this workflow is designed for literature reviews and investigative tasks requiring cross-source verification. It appends findings to a markdown file while processing sources to ensure incremental synthesis and accurate comparisons.

What file formats are generated when synthesizing web research findings?▼

The workflow generates markdown files for raw source persistence, a self-contained HTML report with linked sources, and an exported PDF for sharing the synthesized research findings.

Do I need any browser automation dependencies to run parallel web research?▼

No external dependencies are required. The Skill handles browser automation natively by opening hidden pages, running searches, following top results, and extracting full page text and links for each source.

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