deep-research

Generates evidence-based long-form research reports through iterative search and IPython visualizations.

2|Updated May 30, 2026
One-click install
npx skills add https://github.com/virahitvin8/crafty-gis --skill deep-research-virahitvin8
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/virahitvin8/crafty-gis/tree/main/GIT_STAR/deep-research
Command: npx skills add https://github.com/virahitvin8/crafty-gis --skill deep-research-virahitvin8

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Producing thorough, well-sourced long-form research reports requires dozens of search rounds, fact verification, data visualization, and strict structural discipline, which is difficult to execute consistently in a single pass. ## Core Features & Use Cases - Iterative Search Protocol: Enforces a minimum of 10 search rounds with recursive thinking and summary reflections after each round to ensure comprehensive coverage. - Structured Report Engineering: Produces reports exceeding 10,000 words with paragraph-length rules, mandatory comparison tables, conditional TL;DR sections, and academic or practical writing modes. - Quantitative Visualization: Uses IPython to compute statistics and generate charts embedded directly into the Markdown report. - Use Case: Ask for a deep analysis of a market, technology, or scientific topic and receive a fully cited 10,000+ word report with charts, comparison tables, and roughly 10 authoritative references saved to /mnt/agents/output/report.md. ## Quick Start Ask the agent to perform deep research on your chosen topic and generate a full cited report with data visualizations.

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 long-form research report with citations?

Request deep research on your topic and the skill runs at least 10 iterative search rounds, verifies facts against authoritative sources, then writes a 10,000+ word report with numeric citations and roughly 10 formatted references saved to /mnt/agents/output/report.md.

How does the deep research process verify facts?

The protocol prioritizes authoritative sources such as government sites, academic databases, and peer-reviewed journals. Every statistic and claim must be traceable, and fabrication of data is explicitly prohibited.

Can the research report include charts and data visualizations?

Yes, the skill mandates using IPython for quantitative analysis, generating charts and graphs that are embedded directly into the Markdown report to support arguments with visual evidence.

What structure does the generated research report follow?

Reports default to strict academic format with a conditional TL;DR, subsections containing multiple paragraphs of at least 100 words, centralized comparison tables with inline citations, and a references section.

What are the limitations of automated deep research reports?

Report quality depends on the availability of authoritative online sources for the topic. The fixed 10,000-word minimum and rigid paragraph rules may also be excessive for simple questions answerable in a few sentences.