deep-research

Generate format-controlled research reports with evidence tracking and citations.

5|1|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/jdnichollsc/google-nvidia-learn --skill deep-research-jdnichollsc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/jdnichollsc/google-nvidia-learn/tree/main/skills/deep-research
Command: npx skills add https://github.com/jdnichollsc/google-nvidia-learn --skill deep-research-jdnichollsc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the creation of high-fidelity research reports, ensuring strict format control, evidence tracking, and iterative review, which are often time-consuming and complex manual processes.

Core Features & Use Cases

  • Structured Report Generation: Creates reports with specific sections, formatting, and citation styles.
  • Evidence Tracking: Maps claims directly to their supporting sources.
  • Iterative Refinement: Supports multi-pass drafting and human review for accuracy and compliance.
  • Use Case: Generate a competitive landscape analysis for a new product, complete with market data, competitor strategies, and risk assessments, all formatted according to a predefined corporate template.

Quick Start

Use the deep research skill to generate a market analysis report on renewable energy trends.

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 structured research report with citations and evidence tracking?

Generate a structured research report by using multi-pass drafting to coordinate evidence collection, map claims to sources, and enforce strict formatting with citations. This approach ensures format compliance that a single pass cannot reliably achieve.

What is the best way to automate market analysis and literature review formatting?

Automating market analysis and literature review formatting requires iterative refinement and source triage to map claims directly to supporting sources. This ensures high-fidelity reports complete with market data, competitor strategies, and risk assessments.

Can I use iterative drafting to enforce a strict corporate template for a competitive landscape analysis?

Yes, iterative drafting enforces strict corporate templates for competitive landscape analysis by coordinating multi-pass reviews. This process ensures format compliance, evidence tracking, and accurate citations throughout the report generation.

Does evidence tracking map claims directly to supporting sources for technical briefs?

Evidence tracking maps claims directly to supporting sources for technical briefs by coordinating source triage during the collection phase. This ensures every claim in the generated report is backed by verifiable citations and evidence.

Why does single-pass report generation fail to enforce strict formatting and section control?

Single-pass report generation fails to enforce strict formatting and section control because it cannot reliably coordinate evidence collection, source triage, and iterative review simultaneously. Multi-pass drafting is required to ensure format compliance and citation accuracy.

What are the limitations of automated report generation for policy or technical briefs?

Automated report generation for policy or technical briefs requires multi-pass drafting and human review to maintain accuracy and compliance. Limitations arise when strict format control and evidence tracking are needed but iterative refinement is not applied.