mofa-research

Plan search angles, execute parallel searches, and synthesize structured reports.

11|12|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/mofa-org/mofa-skills --skill mofa-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mofa-research
Source: https://github.com/mofa-org/mofa-skills/tree/main/_unpublished/mofa-research
Command: npx skills add https://github.com/mofa-org/mofa-skills --skill mofa-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

A DOT-based deep research pipeline that dynamically plans N search angles via LLM, executes them in parallel, then analyzes and synthesizes sequentially.

Core Features & Use Cases

  • Plan and generate 4-6 search angles tailored to the query
  • Launch multiple search workers in parallel and aggregate results
  • Analyze outputs across subtopics and synthesize a structured, citational report

Quick Start

Provide a topic to the deep research pipeline to generate a structured report.

Frequently Asked Questions about mofa-research

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

FAQPage Schema
How do I generate a structured research report across multiple sources?▼

To generate a structured research report, this pipeline dynamically plans 4-6 search angles via LLM, executes parallel searches across multiple sources, analyzes outputs by subtopic, and synthesizes a citational report sequentially.

Can I parallelize deep research queries for complex topic analysis?▼

Yes, you can parallelize deep research queries. The pipeline launches multiple search workers in parallel to gather cross-source citations, then aggregates and analyzes the results sequentially for comprehensive topic analysis.

What is LLM-driven planning for multi-angle exploration?▼

LLM-driven planning dynamically generates 4-6 tailored search angles for a given query, enabling multi-angle exploration. This approach ensures complex academic, policy, or product topics are covered thoroughly before parallel execution begins.

Does this deep research pipeline support citation management?▼

Yes, citation management is supported. The pipeline aggregates cross-source citations during parallel search and incorporates them into a synthesized, structured report for academic, policy, and product research contexts.

What is the best way to handle complex topics requiring cross-source citation gathering?▼

The best way to handle complex topics is using a DOT-based pipeline that combines LLM planning, parallel search workers, and sequential synthesis. This approach gathers cross-source citations and produces a robust, structured report.

Do I need any dependencies to run the parallel search and synthesis pipeline?▼

No external dependencies are required to run the parallel search and synthesis pipeline. You simply provide a topic, and the system handles the dynamic planning, parallel task execution, and structured report generation end-to-end.