idea-validator

Screen startup ideas from memory and rank top picks by viability.

Updated Jun 3, 2026
One-click install
npx skills add https://github.com/swarm-ai-research/aeon --skill idea-validator-swarm-ai-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea-validator
Source: https://github.com/swarm-ai-research/aeon/tree/main/skills/idea-validator
Command: npx skills add https://github.com/swarm-ai-research/aeon --skill idea-validator-swarm-ai-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Idea backlogs accumulate weekly with no evaluation. Without a screening pass, the backlog is noise — no way to know which ideas are wide open vs already crowded, which match current market conditions, which are solo-buildable vs team-dependent. This skill turns the list from an archive into an active pipeline.

Core Features & Use Cases

  • Load the idea backlog from memory/topics/startup-ideas.md and ensure a screening database exists at memory/topics/startup-ideas-screened.md.
  • Screen each unscreened idea by competition density, funding signals, timing fit, operator-fit, and market size, then pick up to 8 ideas per run and rank them by viability.
  • Update memory with screening results and surface top picks for notification and downstream planning.

Quick Start

Screen the latest unscreened startup ideas and update memory with the top picks.

Frequently Asked Questions about idea-validator

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

FAQPage Schema
How do I screen startup ideas for viability and market competition?

Screen startup ideas by evaluating competition density, funding signals, timing fit, operator-fit, and market size. This process scores each idea to identify high-viability opportunities, surfacing the strongest bets from your backlog for momentum.

What is the best way to evaluate an idea backlog weekly?

Evaluating an idea backlog weekly involves screening unscreened ideas against current market conditions and funding signals. The system ranks up to 8 ideas per run by viability using competition research and operator-fit assessments.

How does competition research factor into startup idea screening?

Competition research uses web search to check competition density and funding signals during idea screening. This mechanism determines whether a startup idea is wide open or already crowded, directly impacting the final viability score.

Can I use automated web search for startup viability analysis?

Yes, you can use web search for startup viability analysis to perform automated competition and funding checks. The screening process relies on web search data to score ideas across timing, operator-fit, market size, and competition density.

How do I rank startup ideas by operator-fit and market size?

Ranking startup ideas by operator-fit and market size requires scoring each idea against these specific dimensions alongside timing and competition density. This identifies which ideas are solo-buildable versus team-dependent and wide open versus crowded.

What are the limitations of idea screening for funding signals?

Idea screening for funding signals is limited by the scope of web search results for competition and funding checks. It scores up to 8 ideas per run, meaning larger backlogs require multiple passes to fully evaluate all accumulated ideas.