deep-research

Name: deep-research
Availability: InStock
Author: division6066

Aggregate multiple credible sources and validate claims with structured evidence.

Updated Mar 10, 2026

Search Tags:#research #verification #multi-source #evidence #citation #report-generation

Ready to run

npx skills add https://github.com/Division6066/tempo-rhythm --skill deep-research-division6066

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/Division6066/tempo-rhythm/tree/main/.agents/skills/deep-research
Command: npx skills add https://github.com/Division6066/tempo-rhythm --skill deep-research-division6066

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Deliver citation-backed research reports by aggregating multiple sources, tracking evidence, and maintaining an complete audit trail for every claim.

Core Features & Use Cases

Citation-backed reports: structured pipeline that preserves source provenance and evidence for every finding.
Multi-source aggregation: parallel retrieval from academic, industry, and web sources with credibility scoring.
Progressive context & packaging: end-to-end workflow from scope to final report with a complete bibliography and evidence registry.

Quick Start

Invoke the deep-research workflow with a user question to generate a structured, citation-backed report.

Frequently Asked Questions about deep-research

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

FAQPage Schema

How do I generate a research report with citations and an evidence chain?▼

To generate a research report with citations, you aggregate multiple credible sources and apply an 8-phase workflow from scope to packaging. This process validates claims with structured evidence, producing a complete bibliography and an evidence chain suitable for archival.

What is multi-source aggregation for research verification?▼

Multi-source aggregation for research verification is the parallel retrieval of academic, industry, and web sources with credibility scoring. It validates claims by tracking structured evidence, maintaining a complete audit trail for every finding.

How do I ensure traceability and reproducibility across multiple research sources?▼

You ensure traceability and reproducibility by applying a structured pipeline that preserves source provenance and tracks evidence for every finding. This creates a complete audit trail and evidence registry from initial scope to final report packaging.

Can I use deep research for decision-making and archival purposes?▼

Yes, you can use deep research for decision-making and archival because it produces a structured evidence chain and a complete bibliography. The rigorous 8-phase workflow ensures credibility and traceability across all aggregated sources.

What is the best way to maintain an audit trail for every claim in a research report?▼

The best way to maintain an audit trail for every claim is to use a progressive context and packaging workflow that tracks evidence and preserves source provenance. This delivers a citation-backed report with a complete bibliography and an evidence registry.