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deep-research-agent

Automate systematic research and analysis with Python and Markdown templates.

1|Updated Mar 13, 2026
Search Tags:#research#analysis#report generation#systematic#structured information
One-click install
npx skills add https://github.com/zihan987/zihan-Sage --skill deep-research-agent-zihan987
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research-agent
Source: https://github.com/zihan987/zihan-Sage/tree/main/app/skills/deep-research-agent
Command: npx skills add https://github.com/zihan987/zihan-Sage --skill deep-research-agent-zihan987

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, markdown, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a systematic approach to research and analysis, suitable for needs such as research, market analysis, competitive analysis, or structured information collection.

Core Features & Use Cases

  • Systematic Research: Incremental research and output generation.
  • Customizable Templates: Supports various research types with predefined templates.
  • Data Collection and Analysis: Efficiently gather and analyze information from diverse sources.
  • Report Generation: Automatically generate structured reports from research data.

Quick Start

Initialize a research workspace with the following command:

python init_research.py /path/to/template /path/to/project

Frequently Asked Questions about deep-research-agent

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

FAQPage Schema
How do I automate market analysis and generate structured research reports?▼

Automate systematic research and market analysis by initializing a research workspace with Python and Markdown templates to collect data and output structured reports.

What is the best way to systematically collect and analyze competitive analysis data?▼

Systematic competitive analysis uses predefined templates to incrementally gather diverse source data, applying in-depth analysis workflows to generate structured document reviews.

Do I need Python to run structured document review and research workflows?▼

Yes, Python is required to execute the initialization script and manage the research workflows, while Markdown templates structure the generated report outputs.

Can I use custom templates for incremental research and report generation?▼

Customizable templates support various research types, allowing you to define the structure for incremental data collection and automated report generation.

How do I initialize a research workspace for complex information collection?▼

Initialize a research workspace by running the Python script with specified template and project paths to set up the environment for structured information collection.

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