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maira-main-agent

Orchestrate multi-agent research workflows and generate professional PDF or DOCX reports.

1|Updated Feb 15, 2026
Search Tags:#verification#report generation#AI orchestration#multi-agent#literature review#research assistant
One-click install
npx skills add https://github.com/LaZy-Wolf/MAIRA --skill maira-main-agent-lazy-wolf
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: maira-main-agent
Source: https://github.com/LaZy-Wolf/MAIRA/tree/main/backend/skills/main-agent
Command: npx skills add https://github.com/LaZy-Wolf/MAIRA --skill maira-main-agent-lazy-wolf

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill acts as the central brain for complex research tasks, coordinating specialized AI agents to gather, analyze, and synthesize information, ultimately producing professional reports.

Core Features & Use Cases

  • Multi-Tiered Research: Handles everything from simple chat to deep, multi-agent research and literature surveys.
  • Agent Coordination: Orchestrates up to 8 specialized subagents for tasks like web searching, academic paper retrieval, drafting, and verification.
  • Automated Verification: Includes a robust loop to check citations, facts, and content quality, with safeguards against infinite loops.
  • Report Generation: Produces publication-ready reports in PDF and DOCX formats.
  • Use Case: Request a comprehensive literature review on a specific scientific topic, and the agent will manage the entire process, from finding papers to generating a formatted PDF report.

Quick Start

Use the maira-main-agent skill to perform a deep research task on the impact of AI in healthcare, generating a detailed report.

Frequently Asked Questions about maira-main-agent

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

FAQPage Schema
How do I automate literature review and report generation for academic research?▼

Automate literature review and report generation by orchestrating multi-agent research workflows. The system coordinates specialized subagents for paper retrieval, drafting, and verification to produce formatted PDF and DOCX reports.

What is multi-agent AI orchestration for deep research tasks?▼

Multi-agent AI orchestration coordinates up to 8 specialized subagents for web searching, academic retrieval, drafting, and verification. This manages tiered research strategies from conversational queries to deep literature surveys.

Can I use an AI research assistant to verify citations and check facts automatically?▼

Yes, an AI research assistant can automatically verify citations and check facts. It runs an automated verification pipeline with safeguards against infinite loops to ensure content quality before generating final reports.

Does the multi-agent research workflow support different modes like conversational and deep research?▼

The multi-agent research workflow supports conversational, informational, deep research, and literature survey modes. Each mode manages tiered research strategies with persona selection and RAG integration.

What are the limitations of automated verification pipelines in AI research assistants?▼

Automated verification pipelines in AI research assistants include safeguards against infinite loops to prevent endless checking. The system coordinates up to 8 subagents, balancing thorough fact-checking with processing limits.

Do I need RAG integration to perform deep analysis and professional report generation?▼

RAG integration is used to perform deep analysis and professional report generation. It supports the retrieval and synthesis of information across multi-agent research workflows, ensuring reports are grounded in retrieved data.

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