deep-idea

Generate and validate non-obvious ideas with adversarial prior-art checks.

4|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/npow/claude-skills --skill deep-idea
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-idea
Source: https://github.com/npow/claude-skills/tree/main/deep-idea
Command: npx skills add https://github.com/npow/claude-skills --skill deep-idea

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps overcome generic brainstorming by producing ideas through structured reasoning, adversarial novelty checks, and iterative mutation when initial approaches become predictable or exhausted.

Core Features & Use Cases

  • Landscape Mapping: Analyze existing solutions, shared assumptions, recent enablers, failure modes, and underserved users before generating ideas.
  • Forcing Functions: Create concepts through inversions, cross-domain mechanism transfers, edge-user design, temporal opportunities, and constraint flips.
  • Adversarial Validation: Test ideas for forcing-function integrity, exact prior art, structural similarity, recency, novelty, and implementation feasibility.
  • Mutation Loop: Escalate through increasingly unconventional generation strategies while tracking survivors, near-misses, killed ideas, costs, and hard execution limits.
  • Use Case: Use this Skill to explore startup concepts in developer tools, research directions in biotech, or product opportunities for an overlooked customer segment, then receive a report distinguishing novel ideas from adjacent existing work.

Quick Start

Ask the deep-idea skill to generate three novel product concepts for offline-first healthcare tools for rural clinics.

Frequently Asked Questions about deep-idea

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

FAQPage Schema
How do I generate startup ideas that aren't already covered by existing products?

To generate novel startup ideas, analyze the existing solution landscape for shared assumptions and failure modes, then apply structural forcing functions like inversions and cross-domain mechanism transfers to create non-obvious concepts.

What is the best way to validate product concepts for novelty and prior art?

Validating product concepts requires adversarial evaluation to test forcing-function integrity, check exact prior art, assess structural similarity, and verify implementation feasibility before retaining the idea.

How does iterative mutation work for discovering novel research directions?

Iterative mutation for research directions escalates through increasingly unconventional generation strategies, tracking surviving ideas, near-misses, and killed concepts while respecting hard execution limits and agent call caps.

Can I use structured brainstorming to find product opportunities for underserved users?

Yes, structured brainstorming maps existing solutions and failure modes to identify underserved users, then applies edge-user design and temporal opportunities to generate tailored product opportunities for those overlooked segments.

What are the limitations of using automated idea generation workflows?

Automated idea generation workflows operate under hard execution limits on agent calls and mutation cycles, meaning the process requires independent novelty judgments and external prior-art verification to ensure concept survival.