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scientific-problem-selection

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About scientific-problem-selection

S

scientific-problem-selection

Should be used when scientists need help

Scientific-problem-selection is an agent skill that helps researchers choose and rescue research problems through a structured conversation. It is based on Fischbach and Walsh's framework for problem choice and decision trees in science and engineering, published in Cell in 2024. The skill opens with three entry points. You can pitch an idea for a new project and have it worked up together, share a problem in a project that has stalled and troubleshoot it, or ask a strategic question and walk through the decision tree to find the next move. Each path is collaborative and starts where the scientist is, rather than handing over a fixed checklist. The skill is useful for scientists who are unsure whether a question is worth pursuing or why a project keeps stalling. It is part of Anthropic's knowledge-work plugins.

View scientific-problem-selectionAll AI Skills apps
Price
Free
Made by
anthropics
Category
AI Skills
Website
github.com/anthropics/knowledge-work-plugins/scientific-problem-selection