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Idea Darwin Engine

Darwinian idea evolution engine — toss rough ideas onto an evolution island, let them compete, crossbreed, and mutate through structured rounds to surface your strongest concepts.

Installable skillCC-BY-4.0By warmskullUpdated Oct 26, 2026
INTENDED FORClaude CodeCodexCursorInstall in a listed agent.

instructions.md

---
name: idea-darwin
description: "Darwinian idea evolution engine — toss rough ideas onto an evolution island, let them compete, crossbreed, and mutate through structured rounds to surface your strongest concepts."
risk: safe
source: community
date_added: "2026-04-07"
---

# 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:

```markdown
## 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

The slash commands below are workflow request examples, not a CLI bundled with this catalog file. If the host has no command integration, perform the steps in Markdown: assign stable idea IDs, score each dimension on a stated 1–5 scale, compute the weighted mean, then propose selected refinements/crosses with lineage and the next validation experiment. Scores are judgments, not proof of validation. Mark an idea validated only after recording actual evidence.

```
/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](https://github.com/warmskull/idea-darwin)
- 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.

Platform guidance

Imported SKILL.md format for Claude Code, Codex and Cursor. Review the complete instructions and required tools before use. Package integrity checked; individual agent behavior has not been tested.