What problem does it solve? Brainstorming game concepts often stalls after a few obvious ideas, and there is no structured way to compare, refine, and select the strongest concept. This Skill automates an evolutionary ideation loop that generates dozens of game ideas, scores them against a strict rubric, and iteratively improves them across multiple generations. ## Core Features & Use Cases - Evolutionary Idea Generation: Runs generation, scoring, selection, crossover, and mutation cycles inspired by genetic algorithms, with diversity-preservation rules to avoid premature convergence. - Rubric-Based Evaluation: Scores every idea on originality, fun core, and communicability using a detailed rubric with checklists to prevent score inflation. - Full Audit Trail: Records all ideas, scores, survivors, and generation summaries in a structured Markdown workspace, ending with a final report including a development roadmap and risk analysis. - Use Case: An indie developer wants a unique mobile game concept. They specify platform and team size constraints, and the Skill autonomously runs five generations of ideation, delivering a ranked final report with the top idea's elevator pitch, core mechanics, and differentiation from existing titles. ## Quick Start Tell the AI to launch game-idea-loop with your constraints, such as genre, platform, team size, and number of generations, and it will run the full ideation loop automatically.
