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research-topic

Research a topic via parallel agents and generate structured markdown documentation.

Updated Aug 23, 2026
Search Tags:#documentation#research#knowledge management#web search#discovery#topic exploration
One-click install
npx skills add https://github.com/lucasvtiradentes/lvt-spec --skill research-topic-lucasvtiradentes
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-topic
Source: https://github.com/lucasvtiradentes/lvt-spec/tree/main/.agents/skills/research-topic
Command: npx skills add https://github.com/lucasvtiradentes/lvt-spec --skill research-topic-lucasvtiradentes

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of researching a given topic, organizing the findings into structured documentation, and allowing for iterative refinement of the research.

Core Features & Use Cases

  • Automated Research: Leverages web search agents to discover information about a topic.
  • Structured Documentation: Organizes research into a logical file structure with overview, subtopics, best practices, and references.
  • Iterative Refinement: Allows users to review, adjust, and update the generated documentation.
  • Use Case: A user wants to learn about "Kubernetes". They can use this skill to generate a comprehensive set of markdown files covering its architecture, workloads, networking, and best practices.

Quick Start

Use the research-topic skill to research the topic "gcloud cli".

Frequently Asked Questions about research-topic

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

FAQPage Schema
How do I automate web research and generate structured markdown documentation?▼

Automating web research and generating structured markdown documentation is done by deploying parallel agents to discover subtopics, search the web, and organize findings into overview, subtopic, best practices, and references files.

What is topic exploration using parallel agents for knowledge management?▼

Topic exploration using parallel agents is an automated research method where agents discover subtopics, perform web searches, and compile structured markdown documentation to provide a deep dive into any specified subject.

Can I update existing research folders with new web search discoveries?▼

Yes, you can update existing research folders by performing iterative refinement, allowing you to review, adjust, and append new web search discoveries to previously generated structured markdown documentation.

What is the best way to organize research findings into a logical file structure?▼

The best way to organize research findings is to structure the generated markdown documentation into logical partitions, specifically separating overview details, individual subtopic files, best practices, and collected references.

Does automated topic research require manual formatting after content generation?▼

Automated topic research requires minimal manual formatting because the process utilizes built-in alignment tools to format the generated markdown documentation immediately after the web search content is compiled.

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