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run-deep-research

Run multi-provider research queries and generate cited Markdown reports.

18|2|Updated Oct 20, 2025
Search Tags:#automation#research#OpenAI#AI#citations#scientific#Perplexity
One-click install
npx skills add https://github.com/monarch-initiative/deep-research-client --skill run-deep-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: run-deep-research
Source: https://github.com/monarch-initiative/deep-research-client/tree/main/.claude/skills/run-deep-research
Command: npx skills add https://github.com/monarch-initiative/deep-research-client --skill run-deep-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires deep-research-client.

What problem does it solve?

This Skill eliminates the time-consuming and often unstructured process of manual research. It automates the gathering and synthesis of information from multiple AI research providers, delivering structured, cited reports so you can focus on analysis, not searching.

Core Features & Use Cases

  • Multi-Provider Research: Access leading AI research providers like OpenAI, Perplexity, Falcon, and Consensus for diverse information needs.
  • Speed vs. Depth Control: Explicitly choose between fast, light overviews and comprehensive, in-depth analyses, tailoring the output to your exact requirements.
  • Citations & Metadata: Receive well-structured Markdown reports complete with verifiable citations and useful YAML frontmatter metadata.
  • Use Case: Whether you need a quick summary of "quantum computing" for a meeting or a comprehensive, cited report on "CRISPR gene editing" for a publication, this Skill allows you to specify the desired depth and speed, delivering tailored results directly.

Quick Start

Perform a quick research query using Perplexity's fast model

uv run deep-research-client research "What is quantum computing?" --provider perplexity --model sonar-pro

For a comprehensive analysis using OpenAI

uv run deep-research-client research "Comprehensive analysis of AI ethics" --provider openai

Frequently Asked Questions about run-deep-research

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

FAQPage Schema
How do I automate research across multiple AI providers like OpenAI and Perplexity?▼

Automate research by orchestrating multiple AI research providers through a single interface. The Skill handles provider selection, query templating, and structured output, letting you compare results from OpenAI, Perplexity, Falcon, and Consensus without manual API calls or data aggregation.

Can I control the speed versus depth trade-off when generating research reports?▼

Yes, explicitly specify depth and speed preferences. Choose between fast, lightweight overviews or comprehensive in-depth analyses by passing provider and model parameters, tailoring research output to meeting summaries or publication-ready cited reports.

How do I get cited research reports with metadata in markdown format?▼

The Skill generates structured markdown reports with verifiable citations and YAML frontmatter metadata automatically. Each research output includes source attribution and formatted headers, ready for academic, technical, or scientific use without manual citation processing.

What's the best way to perform comprehensive literature surveys without manual synthesis?▼

Perform multi-provider literature surveys by querying leading research AI platforms in sequence. The Skill synthesizes results from diverse sources into a single cited report, eliminating manual information gathering and reducing time spent on unstructured research compilation.

Can I use this for both quick topic summaries and rigorous academic research?▼

Yes, the Skill handles both use cases through configurable depth settings. Quickly summarize topics for internal use or generate comprehensive, cited analyses for publications, scientific inquiries, and technical documentation by adjusting provider and depth parameters.

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