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Run Darwinian idea-evolution rounds to score, crossbreed and refine many rough ideas into prioritized, testable concepts.
Idea Darwin Engine implements a round-based idea evolution workflow: seed many rough ideas, score them across multiple dimensions, select and refine the fittest, and cross-pollinate promising concepts to generate stronger hybrids. It preserves upstream provenance and support files so operators can review source material before executing or merging. Concrete outputs are idea 'species' cards, scored rankings, and iterative change histories.
Use this skill when you have many scattered ideas and need a systematic way to evaluate and develop them; when you want discovery across domains via crossbreeding; when you need a scoring framework to prioritize investment; or when retaining upstream provenance and workflow context is required for review or handoff.
Best suited for agents and toolchains that support CLI and code-oriented workflows (Codex/Codex-CLI, Claude Code, Cursor, Gemini CLI, Opencode). It expects an operator to confirm provenance and may be used in interactive review or automation flows.
This skill has not been reviewed by our automated audit pipeline yet.
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