An automated idea iteration system that applies Darwinian selection principles to evolve raw thoughts into high-potential projects.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install idea-darwin-zh
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install idea-darwin-zh using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Idea Darwin Engine is a structured framework designed to treat ideas as living organisms in a competitive ecosystem. By importing raw thoughts from a markdown file, the skill transforms them into structured cards that undergo continuous evolution cycles including deepening, derivation, crossover, criticism, and validation.
This engine fundamentally solves the common failure mode of brainstorming—where ideas remain in a vague, stagnant state—by forcing a survival-of-the-fittest progression. High-scoring ideas survive and evolve, while weaker concepts are flagged for user decision-making, ensuring that only the most robust and innovative concepts surface as actionable MVPs.
To initialize the idea evolution environment, ensure you have an ideas.md file in your project directory and run:
/idea-darwin init --budget 12 --actions 2 --disruption 3
To execute an iteration round, use:
/idea-darwin round
To check the current rankings and status of your idea pool:
/idea-darwin status
The skill maintains a strict project structure to ensure traceability and data integrity:
| Directory/File | Purpose |
|---|---|
ideas.md |
Read-only source of original user thoughts. |
config.yaml |
System configuration, round counters, and next ID tracking. |
stimuli.md |
User-editable list of external triggers for disruption rounds. |
cards/ |
Individual markdown files for each idea (IDEA-XXXX.md). |
rounds/ |
Historical reports of every iteration cycle. |
reports/ |
Contains the leaderboard.md and clustering analysis. |
graph/ |
JSON data representing the relational lineage between ideas. |
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