Generate diverse idea sets using Chain-of-Thought prompting and sessions_spawn.
npx skills add https://github.com/FatBy/DD-OS --skill diverse-ideation
Please help me install this Agent Skill. Skill: diverse-ideation Source: https://github.com/FatBy/DD-OS/tree/main/skills/diverse-ideation Command: npx skills add https://github.com/FatBy/DD-OS --skill diverse-ideation
This Skill tackles the challenge of LLM mode collapse during brainstorming by generating a wide variety of distinct ideas, preventing repetitive or similar suggestions.
Use sessions_spawn with the provided prompt template to generate 30-50 diverse ideas on the topic of sustainable urban farming.
High-intent search queries and answers about installing and using this skill.
To prevent LLM mode collapse during brainstorming, use Chain-of-Thought prompting to guide the model through structured divergent idea generation and similarity review, ensuring a high-variance output of distinct concepts.
The best way to generate diverse product concepts is to use a structured ideation process that separates title generation, similarity review, and description expansion, yielding 30 to 50 maximally distinct ideas for market differentiation.
Yes, you can use Chain-of-Thought prompting to improve creative strategy diversity by forcing the LLM to explicitly evaluate similarity between generated ideas, which prevents repetitive outputs and maximizes variance.
You generate 30 to 50 unique ideas by spawning a multi-step session that prompts the LLM to create titles, review for similarity, and expand distinct concepts into descriptions, avoiding repetitive suggestions.
Your LLM generates similar ideas due to mode collapse, a tendency to favor probable sequences. A multi-step prompt focusing on divergent idea generation and similarity review breaks this pattern.
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