research-orchestrator

Merge multiple research documents into a verified, cross-referenced DOCX.

2|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/Co4an/research_orchestrator --skill research-orchestrator-co4an
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-orchestrator
Source: https://github.com/Co4an/research_orchestrator/tree/main
Command: npx skills add https://github.com/Co4an/research_orchestrator --skill research-orchestrator-co4an

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep research often yields overlapping, contradictory, and hard-to-verify findings across multiple sources. This skill orchestrates parsing, cross-referencing, and automated verification to produce a single, authoritative DOCX that is grounded in verified sources.

Core Features & Use Cases

  • Parse 2+ documents in Markdown, PDF, HTML, or plain text and extract structure, claims, and sources.
  • Cross-reference claims across documents to identify agreements, contradictions, and unique insights, then merge the strongest content with citations.
  • Verify links and citations (URL checks, redirects, and basic page metadata) and structure a verification report.
  • Output a formatted DOCX with a table of contents, inline citations, and source quality notes suitable for publication or review.
  • Use Case: researchers consolidating competing reports into a single, auditable brief with verified sources.

Quick Start

Upload 2+ research documents and say: Compare these reports and create one verified DOCX.

Frequently Asked Questions about research-orchestrator

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

FAQPage Schema
How do I merge multiple research reports into one verified DOCX?

To merge multiple research reports into one verified DOCX, upload two or more documents and the skill will parse, cross-compare, and verify citations to output a unified, formatted DOCX with inline citations and a table of contents.

What is the best way to cross-reference contradictory claims across different research documents?

The best way to cross-reference contradictory claims is to use an automated workflow that parses multiple documents, identifies agreements and contradictions, and merges the strongest content with cross-checked citations into a single source.

Can I verify URLs and citations automatically when consolidating PDF and HTML files?

Yes, you can verify URLs and citations automatically when consolidating PDF and HTML files; the process checks links, tracks redirects, extracts page metadata, and structures a verification report for the final document.

How many documents do I need to upload to generate a cross-referenced research synthesis?

You need to upload at least two documents to generate a cross-referenced research synthesis. The workflow requires multiple research reports to parse structures, cross-compare claims, and merge the strongest content with verified citations.

What output files are generated when merging reports into a verified document?

The output files generated when merging reports into a verified document include the final DOCX with a table of contents, alongside inventory.json, comparison.json, and verification.json detailing the parsed structures, claim contrasts, and link checks.