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research-pro

Spawn a sub-agent using Gemini CLI to research topics and save results to a markdown file.

1|Updated Jan 31, 2026
Search Tags:#research#information gathering#gemini cli#sub-agent#topic analysis
One-click install
npx skills add https://github.com/kjaylee/misskim-skills --skill research-pro
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-pro
Source: https://github.com/kjaylee/misskim-skills/tree/main/research
Command: npx skills add https://github.com/kjaylee/misskim-skills --skill research-pro

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates in-depth research on any topic, freeing up your main AI session and saving computational resources by leveraging a dedicated sub-agent.

Core Features & Use Cases

  • Automated Deep Research: Utilizes Gemini CLI (or local alternatives) to gather comprehensive information on a given topic.
  • Sub-Agent Delegation: Spawns a separate agent to perform research tasks, ensuring your primary AI session remains uncluttered and efficient.
  • Use Case: You need to understand the latest advancements in quantum computing for a report. This Skill can be tasked to research the topic, providing a detailed report on core concepts, recent developments, and key players.

Quick Start

Research the topic 'advancements in quantum computing' using the research-pro skill.

Frequently Asked Questions about research-pro

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

FAQPage Schema
How do I automate deep topic analysis and research using a sub-agent?▼

Automate deep topic analysis by spawning a sub-agent that utilizes the Gemini CLI to gather comprehensive information. This dedicated agent researches core concepts, latest trends, and technical architecture, then saves the results directly to a markdown file.

What is the best way to conduct market analysis without cluttering my primary AI session?▼

Conduct market analysis without cluttering your primary AI session by delegating the research task to a dedicated sub-agent. This approach frees up your main session and saves computational resources while gathering comprehensive information on your specified topic.

How does sub-agent delegation work for gathering technical architecture information?▼

Sub-agent delegation works by spawning a separate agent to perform the information gathering, ensuring your primary AI session remains efficient. The sub-agent uses the Gemini CLI to research technical architecture, market analysis, and challenges, outputting a detailed markdown file.

Do I need the Gemini CLI to run automated research tasks?▼

You need the Gemini CLI to run automated research tasks, although local alternatives are also supported. The Skill relies on this command-line interface to power the sub-agent that gathers comprehensive information on core concepts and latest trends.

What format does the automated research tool output for gathered information?▼

The automated research tool outputs gathered information as a markdown file. This format captures the sub-agent's findings on core concepts, latest trends, technical architecture, market analysis, challenges, and key resources in a structured, readable way.

When should I avoid using a sub-agent for information gathering?▼

You should avoid using a sub-agent for information gathering when your research needs are trivial or require real-time interaction within your main session. This approach is designed for deep, automated research tasks that benefit from dedicated computational resources.

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