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scientific-brainstorming

8.3

by K-Dense-AI

148Favorites
364Upvotes
0Downvotes

Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.

research

8.3

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Quick Review

Excellent scientific brainstorming skill with comprehensive methodology and clear guidance. The description effectively communicates when to use this skill versus alternatives (e.g., hypothesis-generation). The five-phase workflow (Understanding, Divergent Exploration, Connection Making, Critical Evaluation, Synthesis) provides robust task knowledge with concrete techniques like cross-domain analogies, assumption reversal, and scale shifting. Structure is logical with well-organized sections for core principles, adaptive techniques, and resources. The skill demonstrates meaningful novelty by providing a structured conversational framework that would require significant token expenditure for a CLI agent to recreate consistently. Minor improvement opportunities: could include example dialogue snippets or case studies to further illustrate the conversational approach in action. The referenced brainstorming_methods.md file appropriately offloads structured methodology details. Overall, this is a high-quality skill that meaningfully enhances research ideation capabilities beyond what a standard LLM conversation would provide.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty8

GitHub Signals

6,871
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Last commit 1 days ago

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K-Dense-AI

K-Dense-AI

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K-Dense-AI

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