A round-based evolution system that treats ideas as organisms to be scored, selected, crossed, and mutated into viable concepts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install idea-darwin-ja
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install idea-darwin-ja using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Idea Darwin Engine (JA)?
The Idea Darwin Engine (JA) is an automated framework for Openclaw Skills designed to move beyond stagnant brainstorming sessions. By treating ideas as living entities subject to natural selection, it applies a rigorous methodology of scoring, crossing, and refinement. The engine ensures that only the strongest concepts surface, preventing the common failure where all ideas remain equally vague forever.
This skill uses a structured approach to analyze a raw ideas file, generating individual idea cards with deep metadata. Through successive rounds of evolution, it identifies synergies between concepts (crossover) and forces breakthroughs using external triggers (disruption rounds), making it a powerful tool for strategic planning and product development.
Idea Darwin Engine (JA) Use Cases
- Scaling creative brainstorming by automating the comparison and refinement of hundreds of raw notes.
- Identifying non-obvious synergies between disparate business or technical concepts through automated crossover.
- Systematically validating the feasibility and logic of new project proposals.
- Breaking cognitive biases and local optima through disruption rounds using user-provided external stimuli.
How Idea Darwin Engine (JA) Works
- Initialization: The system parses a raw source file (ideas.md) to generate a structured project environment including cards, reports, and configuration.
- Card Generation: Each idea is assigned a unique ID (IDEA-XXXX) and a detailed Markdown card tracking its lineage, tags, and evolutionary stage.
- Relationship Mapping: The engine calculates similarity scores to build a relational graph between ideas for potential crossovers.
- Scoring & Ranking: Ideas are evaluated on six dimensions (Novelty, Feasibility, Value, Logic, Cross-Potential, and Verifiability) to calculate global priority.
- Evolutionary Actions: Based on scores, the engine executes actions like deep refinement, derivation of child ideas, or merging similar concepts.
- Reporting: Every round concludes with a comprehensive report and an updated leaderboard showing the highest-potential ideas.
Idea Darwin Engine (JA) Setup
To start evolving your ideas using Openclaw Skills, prepare an ideas.md file and run the initialization command:
/idea-darwin init --budget 12 --actions 2 --disruption 3
To execute a single evolution round or multiple rounds:
/idea-darwin round
/idea-darwin round 5
To check the current pool status and rankings:
/idea-darwin status
Idea Darwin Engine (JA) Data Schema & Taxonomy
The skill maintains a strict organizational structure to track the evolution of concepts:
| Directory/File | Purpose |
|---|---|
ideas.md |
Read-only source of truth for initial user input. |
config.yaml |
System settings, round counters, and budget allocations. |
stimuli.md |
User-managed external triggers used to disrupt the status quo. |
cards/ |
Individual markdown files containing the full lifecycle of each IDEA-XXXX. |
rounds/ |
Detailed logs and briefs for every processed round. |
graph/ |
JSON relationship data mapping idea similarities and lineages. |
Idea Darwin Engine (JA) Advanced Features
- Triple-layered scoring system calculating Survival, Development, and Priority metrics for nuanced evaluation.
- Disruption rounds that inject external stimuli from stimuli.md to force non-linear thinking.
- Automated status machine transitions (Seed → Exploring → Refining → Crossing → Validated).
- Smart duplicate detection and merging to prevent pool fragmentation.
- Support for dormant and wake states to manually manage idea focus without deleting data.
SKILL.md
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