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giga-research

Orchestrate multi-provider research across Claude, OpenAI, and Gemini with citation validation.

4|1|Updated Feb 13, 2026
Search Tags:#research#report generation#AI#multi-provider#deep research
One-click install
npx skills add https://github.com/Blevene/giga-research-skill --skill giga-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: giga-research
Source: https://github.com/Blevene/giga-research-skill/tree/main
Command: npx skills add https://github.com/Blevene/giga-research-skill --skill giga-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, openai, google-genai, httpx, pydantic, python-dotenv, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates deep research by dispatching research prompts to multiple AI providers, synthesizing their findings, and generating a unified report with citation validation.

Core Features & Use Cases

  • Multi-Provider Research: Conduct parallel research with Claude, OpenAI, and Gemini.
  • Unified Report: Synthesize findings from multiple providers into a single, comprehensive report.
  • Citation Validation: Validate citations for accuracy and reliability.
  • Use Case: Use this Skill to research a complex topic like the current state of quantum computing, receiving a comprehensive report that consolidates insights from multiple sources.

Quick Start

Research the current state of quantum computing using the giga-research skill.

Frequently Asked Questions about giga-research

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

FAQPage Schema
How do I conduct deep research across multiple AI providers like Claude, OpenAI, and Gemini?▼

Multi-provider research dispatches prompts to Claude, OpenAI, and Gemini simultaneously, synthesizing their findings into a unified report. It applies to complex topic research and literature reviews by cross-validating outputs across different AI models.

How does AI report generation handle citation validation?▼

AI report generation validates citations for accuracy and reliability during the synthesis process. It consolidates findings from multiple providers into a single comprehensive report while checking that sources are correctly referenced.

Do I need specific SDKs to orchestrate multi-provider AI research?▼

Yes, multi-provider AI research requires the anthropic, openai, and google-genai SDKs. It also depends on httpx, pydantic, and python-dotenv to manage requests, data validation, and environment configuration.

What is the best way to cross-validate literature reviews using AI?▼

The best way to cross-validate literature reviews is dispatching the same research prompt to multiple AI providers. Comparing synthesized reports from Claude, OpenAI, and Gemini highlights consensus and discrepancies for a comprehensive perspective.

Can I automate complex topic research and get a unified report?▼

Yes, automating complex topic research generates a unified report by orchestrating parallel queries across multiple AI providers. It dispatches prompts, collects findings, and synthesizes comprehensive results with citation validation.

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