research

Dispatch a subagent to research topics and generate detailed reports.

Updated May 24, 2026
One-click install
npx skills add https://github.com/ChrisFmlyc/spades --skill research-chrisfmlyc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/ChrisFmlyc/spades/tree/main/plugins/spades/skills/research
Command: npx skills add https://github.com/ChrisFmlyc/spades --skill research-chrisfmlyc

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of researching a topic, leveraging an isolated subagent for in-depth analysis. It's ideal for users seeking a structured and efficient way to explore various aspects of a subject.

Core Features & Use Cases

  • Landscape Research: Analyze any topic in-depth through a specialized subagent.
  • Fact-Finding: Utilize for open-ended questions requiring external data.
  • Structured Report: Generates a detailed report, optionally posting to Linear with user consent.

Quick Start

Run /spades:research <your-research-query> to begin the research process on a specific topic.

Frequently Asked Questions about research

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

FAQPage Schema
Why use a subagent for topic analysis instead of querying external data directly?

Using a subagent streamlines research by isolating the in-depth analysis process, ensuring structured exploration of complex topics rather than returning unstructured external data fragments.

How do I conduct comprehensive landscape analysis on a specific topic?

You can conduct landscape analysis by dispatching a dedicated subagent for external fact-finding, which processes your open-ended research query and generates a detailed structured report.

Can I automatically send my structured research report to project management tools?

Yes, the research process optionally posts the generated structured report directly to Linear, provided you give explicit consent and have the backend configured.

What is the best way to handle open-ended questions requiring external fact-finding?

The best way to handle external fact-finding for open questions is using an isolated subagent, allowing you to explore various aspects of a subject efficiently without manual data gathering.

Do I need an active Scope to run topic analysis, or can it operate standalone?

Topic analysis requires either an active Scope or standalone operation, meaning you must configure the appropriate backend environment before dispatching the research subagent.

Why use a subagent for topic analysis instead of querying external data directly?

Using a subagent streamlines research by isolating the in-depth analysis process, ensuring structured exploration of complex topics rather than returning unstructured external data fragments.