Librarium -- Multi-Provider Deep Research

Coordinate multi-provider deep-research queries and write markdown outputs.

128|4|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/jkudish/librarium --skill librarium-multi-provider-deep-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Librarium -- Multi-Provider Deep Research
Source: https://github.com/jkudish/librarium/tree/main
Command: npx skills add https://github.com/jkudish/librarium --skill librarium-multi-provider-deep-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Librarium enables researchers to execute multi-provider deep-research queries in parallel, surfacing diverse sources and consolidated insights.

Core Features & Use Cases

  • Parallel execution of deep-research providers to accelerate discovery
  • Deduplication of citations and structured per-provider outputs
  • Use Case: Conduct a thorough literature review by synthesizing findings from multiple sources and citations

Quick Start

Ask Librarium to run a deep-research query across configured providers and save the results to the output directory.

Frequently Asked Questions about Librarium -- Multi-Provider Deep Research

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

FAQPage Schema
How do I run deep-research queries across multiple providers in parallel?

You can execute multi-provider deep-research in parallel by applying a defined set of providers deterministically, with options to group, wait for completion, or retrieve results as needed.

What is the best way to deduplicate citations from multiple research sources?

Deduplicating citations from diverse sources is handled automatically during deterministic orchestration, which also writes per-provider markdown outputs and a run.json manifest to track findings.

How does parallel processing work for deep-research literature reviews?

Parallel processing for deep-research works by coordinating queries across diverse providers simultaneously, accelerating discovery and surfacing a consolidated summary of synthesized findings.

Can I save per-provider research results to separate markdown files?

Yes, per-provider research results are written to separate markdown outputs, alongside a run.json manifest, ensuring structured documentation of findings from each configured source.

Does multi-provider deep-research require any specific dependencies or components?

No specific dependencies or components are required to run multi-provider deep-research, as the Skill handles deterministic orchestration and consolidated summary generation natively.

When should I use parallel multi-provider research instead of a single source query?

Parallel multi-provider research should be used instead of a single source query when comprehensive findings are needed from diverse sources, such as conducting a thorough literature review with deduplicated citations.