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.