deep-research

Research technical topics and generate structured Markdown and Word reports.

266|71|Updated Jan 26, 2026
One-click install
npx skills add https://github.com/zrt-ai-lab/opencode-skills --skill deep-research-zrt-ai-lab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/zrt-ai-lab/opencode-skills/tree/main/deep-research
Command: npx skills add https://github.com/zrt-ai-lab/opencode-skills --skill deep-research-zrt-ai-lab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-docx, and includes scripts (resource) components.

What problem does it solve?

This skill enables in-depth investigation of technical topics by aggregating sources, organizing insights, and producing professional reports in Markdown and Word formats.

Core Features & Use Cases

  • Source gathering and web research to build comprehensive topic dossiers.
  • Synthesis and summarization of findings into structured Markdown and Word reports.
  • Optional diagram generation to illustrate core concepts and relationships.

Quick Start

Tell the agent to perform deep research on a topic and generate Markdown and Word reports.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate technical research and generate Word reports?

Automate technical research by gathering web sources and synthesizing findings into structured Word reports. This process uses python-docx and Pandoc to format aggregated insights into professional documentation directly from your research topic.

Can I generate Markdown documentation from web research?

Yes, you can generate Markdown documentation from web research. The skill aggregates sources, organizes insights, and produces structured Markdown reports, ensuring your technical topics are synthesized into cohesive and readable documentation.

Does generating Word reports with python-docx support diagram integration?

Generating Word reports with python-docx supports diagram integration. The skill can generate diagrams via image-service to illustrate core concepts and relationships, embedding them directly into your synthesized Markdown and Word documents.

What is the best way to convert technical research into structured documents?

The best way to convert technical research into structured documents is by applying source gathering and synthesis. It aggregates web sources and formats findings into cohesive Markdown and Word reports using Pandoc and python-docx.

Do I need Pandoc installed to produce Markdown and Word reports?

Yes, you need Pandoc installed to produce Markdown and Word reports. The skill uses Pandoc alongside python-docx to format and convert aggregated technical research findings into professional structured documents.

What are the limitations of using python-docx for research report generation?

Using python-docx for research report generation requires a Python environment and Pandoc for formatting. It synthesizes web research into structured documents, but complex formatting may be constrained by python-docx limitations.