Skills Product & Business Idea Darwin: Evolution Concept Engine

Idea Darwin: Evolution Concept Engine

v20260427
idea-darwin
This system treats ideas like living species on an 'evolution island.' Instead of simple storage, it runs structured, multi-round iterations simulating biological processes: competition, crossbreeding, and mutation. Users input initial concepts, and the tool systematically evaluates them using a 6-dimensional scoring framework (Novelty, Feasibility, Value, etc.). It helps users deepen viability, discover unexpected connections between disparate ideas, and prioritize the most robust concepts for development and investment.
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Overview

Idea Darwin Engine

A round-based idea iteration system that treats ideas as competing organisms — scoring, selecting, crossing, and evolving them through structured rounds to surface the strongest concepts.

Overview

Most idea management tools are filing cabinets: they store ideas, tag them, and let them rot. Idea Darwin flips the paradigm — instead of organizing ideas, it lets them compete. Every idea is a living species on an evolution island. Each round, the fittest get deepened, different ideas cross-pollinate to produce unexpected hybrids, and external stimuli trigger mutations.

When to Use This Skill

  • Use when you have many scattered ideas and need to systematically evaluate and develop them
  • Use when you want to discover unexpected connections between ideas from different domains
  • Use when you need structured iteration rather than one-shot brainstorming
  • Use when you want a scoring framework to prioritize which ideas deserve more investment

Core Concepts

Evolution Island Metaphor

Your ideas are alive on this island. Like organisms, they follow three core laws:

  1. Evolution — Each round, the system deepens the most viable ideas through structured research: filling logical gaps, clarifying paths, identifying risks.
  2. Crossbreeding — The system cross-pollinates different ideas. A technical approach from work meets an observation from daily life, producing directions you never imagined.
  3. Mutation — External stimuli (industry news, theories, conversations) trigger mutations, spawning entirely new species.

Species Cards

Every idea gets a structured card recording: core question, full description, lineage (parent/child IDs), 6-dimensional scores, and change history.

6-Dimensional Scoring

Dimension Weight What It Measures
Novelty 10% Genuine breakthrough or repetition?
Feasibility 20% Technically and resource-wise achievable?
Value 20% Impact if successful?
Logic 20% Internally consistent, no gaps?
Cross Potential 10% Can spark something new when combined?
Verifiability 20% Can we design a validation path?

Idea Lifecycle

seed → exploring → refining → crossing → validated → dormant

The user always has final say on all life-or-death decisions. The system only recommends.

Step-by-Step Guide

1. Write Your Ideas

Create an ideas.md file:

## Personal knowledge base that learns my style
I want a system that reads everything I write and gradually learns how I think.

## Commute-to-podcast converter
Record voice memos during my commute, auto-convert them into podcast scripts.

2. Initialize Your Island

/idea-darwin init

3. Start Evolving

/idea-darwin round

4. Keep Feeding the Island

Append new ideas to ideas.md, add environmental variables to stimuli.md.

Examples

Example 1: Initialize

/idea-darwin init --budget 8 --actions 3

Example 2: Run Multiple Rounds

/idea-darwin round 3

Example 3: Manage Ideas

/idea-darwin dormant IDEA-0005
/idea-darwin wake IDEA-0005

Best Practices

  • Do: Write ideas as rough as you want — the system structures them
  • Do: Add external stimuli to prevent idea convergence
  • Do: Run disruption rounds to surface overlooked ideas
  • Don't: Over-curate initial ideas — let evolution filter
  • Don't: Ignore the "Decisions Needed" section in briefings

Additional Resources

  • GitHub Repository
  • Available in 3 languages: English, Chinese, Japanese
  • ClawHub: clawhub install idea-darwin

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Info
Name idea-darwin
Version v20260427
Size 4.18KB
Updated At 2026-04-28
Language