deep-research

Generate structured, cited research reports from topics or local files.

503|53|Updated Jun 5, 2026
One-click install
npx skills add https://github.com/hoolulu/deep-research --skill deep-research-hoolulu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/hoolulu/deep-research/tree/main
Command: npx skills add https://github.com/hoolulu/deep-research --skill deep-research-hoolulu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns a research topic or local source collection into a structured, evidence-based report, avoiding shallow summaries, unsupported figures, fragmented sources, and time-consuming manual research.

Core Features & Use Cases

  • Multi-stage research pipeline: Analyzes the topic, builds an outline, gathers and verifies sources, writes chapters, and performs final assembly and quality assurance.
  • Traceable, multilingual reporting: Produces reports in the topic's language with source-linked citations, confidence grading, opposing viewpoints, scenario analysis, and support for quick, standard, and deep research modes.
  • Flexible data collection: Searches online sources through layered search and scraping fallbacks, or works offline with local Markdown, text, PDF, and DOCX files.
  • Use Case: Ask it to assess the competitive landscape of an emerging technology, and it will produce a decision-ready report covering market dynamics, competitors, technical factors, risks, forecasts, citations, and confidence levels.

Quick Start

Use the deep-research skill to generate a standard research report on the topic you provide, optionally adding quick or deep mode or specifying local files as the source material.

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 cited research report with source verification?▼

Deep research generates structured, decision-ready reports by coordinating outline generation, layered search and scraping, structured fact collection, parallel chapter writing, citation assembly, and report QA to ensure traceable, evidence-based outputs.

Can I use local PDF and DOCX files for offline competitive analysis?▼

Yes, offline competitive analysis supports local Markdown, text, PDF, and DOCX files, applying the research pipeline to extract facts, verify data, and assemble a structured report without needing online web scraping.

What is the difference between quick, standard, and deep research modes?▼

Quick, standard, and deep research modes scale the pipeline's depth: deep mode executes extensive layered search, scraping, and fact verification for detailed reports, while quick mode generates faster, higher-level summaries.

Does deep research support multilingual report generation?▼

Yes, multilingual report generation outputs the structured document in the original topic's language, maintaining traceable citations, opposing viewpoints, scenario analysis, and confidence grading across the translated text.

How do I prevent shallow summaries and unsupported figures in industry analysis?▼

Prevent shallow summaries and unsupported figures in industry analysis by applying a multi-stage research pipeline that gathers sources, collects structured facts, and applies confidence grading with source-linked citations for traceable, evidence-based results.

What is the best way to create an investment memo with confidence assessment?▼

The best way to create an investment memo with confidence assessment is using a structured research pipeline that evaluates market dynamics, assigns confidence levels to findings, and assembles a decision-ready report with source-linked citations and scenario analysis.