ftm-brainstorm

Coordinate seven research agents to produce cited recommendations with a decision log.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/kkudumu/feed-the-machine --skill ftm-brainstorm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ftm-brainstorm
Source: https://github.com/kkudumu/feed-the-machine/tree/main/ftm-brainstorm
Command: npx skills add https://github.com/kkudumu/feed-the-machine --skill ftm-brainstorm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill orchestrates a multi-agent, evidence-based brainstorming workflow to surface diverse, real-world patterns and actionable recommendations before planning.

Core Features & Use Cases

  • Dispatches 7 specialized agents (Web Researcher, GitHub Explorer, Competitive Analyst, Stack Researcher, Architecture Researcher, Pitfall Researcher, UX/Domain Researcher) plus a Synthesizer to consolidate findings.
  • Produces 3-5 well-cited suggestions with supporting URLs, plus challenges and a prioritized recommended option.
  • Maintains a running Context Register and Prior Decisions Log across turns; prompts with AskUserQuestion for interactive decisions.
  • Ideal for early-stage feature ideation, product strategy, or tackling vague ideas that need grounding with evidence.

Quick Start

Provide your initial idea and I will run a multi-agent research loop to surface evidence-backed options and next steps.

Frequently Asked Questions about ftm-brainstorm

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

FAQPage Schema
How do I brainstorm product features using multi-agent research?

Multi-agent research brainstorming dispatches specialized agents like Web Researcher, GitHub Explorer, and Competitive Analyst to surface evidence-backed options for your product features. This structured approach consolidates findings into cited recommendations with a prioritized decision log.

What is evidence-based brainstorming for software architecture decisions?

Evidence-based brainstorming for software architecture decisions coordinates agents like Architecture Researcher and Stack Researcher to gather real-world patterns and supporting URLs. It outputs 3-5 well-cited suggestions with challenges and a recommended option.

Can I use structured brainstorming to evaluate technical approaches before planning?

Yes, structured brainstorming evaluates technical approaches before planning by dispatching a Pitfall Researcher and UX/Domain Researcher to clarify complex concepts. It enforces evidence citations and maintains a running Prior Decisions Log across interactive turns.

How do I generate a decision log from competitive analysis and web research?

To generate a decision log from competitive analysis and web research, a Synthesizer agent consolidates findings from multiple specialized research agents. It tracks decisions interactively and outputs structured recommendations with supporting URLs and challenges.

What is the best way to ground vague product ideas with real-world evidence?

The best way to ground vague product ideas with real-world evidence is running a multi-agent research loop that enforces citations. Seven specialized agents research web, GitHub, stack, and UX domains before a Synthesizer outputs prioritized recommendations.

When should I not use an automated multi-agent workflow for brainstorming?

You should avoid automated multi-agent brainstorming workflows when your idea requires no external evidence, competitive analysis, or architectural research. The process enforces evidence citations and multi-agent coordination, making it excessive for simple, already-clarified concepts.