research

Conduct multi-source research via Gemini Deep Research and output Markdown with citations.

14|2|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/opencodos/opencodos --skill research-opencodos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/opencodos/opencodos/tree/main/skills/Research
Command: npx skills add https://github.com/opencodos/opencodos --skill research-opencodos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires playwright, html2text, google-generativeai, and includes scripts (resource) components.

What problem does it solve?

Multi-source research is time-consuming and fragmented; this skill orchestrates Gemini Deep Research to produce cohesive, citation-rich analyses.

Core Features & Use Cases

  • Browser-automated Deep Research for comprehensive topic coverage.
  • API fallback for API-based generation when browser automation is not available.
  • Output as Markdown with a structured header and citations for notes, reports, or publications.

Quick Start

Describe a topic to Gemini Deep Research to generate a comprehensive Markdown report.

Frequently Asked Questions about research

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

FAQPage Schema
How do I automate multi-source research and generate a cited report?

Multi-source research is automated using browser automation via Playwright to orchestrate Gemini Deep Research, producing cohesive Markdown reports with structured headers and citations.

Can I use an API fallback for long-running Gemini Deep Research tasks?

Yes, an API fallback handles real-time or long-running Gemini Deep Research tasks across large data scopes when browser automation is unavailable or impractical.

Does this research tool output Markdown with citations for notes?

Yes, the research tool outputs results as a Markdown document with a structured header and citations, designed for easy integration into notes, reports, or publications.

What is the best way to conduct comprehensive research across large data scopes?

The best way to conduct comprehensive research across large data scopes is using Gemini Deep Research with a Playwright browser automation primary method and an API fallback.

Why use browser automation with Playwright for deep research instead of standard API calls?

Browser automation with Playwright orchestrates Gemini Deep Research for comprehensive topic coverage, while the API fallback specifically handles real-time or large data scope tasks.

When should I not use the browser automation method for research?

You should not use the Playwright browser automation method for real-time or long-running tasks across large data scopes, opting instead for the available API fallback.