Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.
8.1
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0
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AI & LLM
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Excellent skill for automated hypothesis generation and testing using LLMs. The description is comprehensive and clearly explains when and how to use the skill across multiple research domains. Task knowledge is thorough with detailed installation steps, CLI/API usage, configuration examples, dataset format specifications, and concrete workflow examples. Structure is well-organized with clear sections, though the SKILL.md is quite lengthy (could benefit from moving some advanced content to separate guides). Novelty is strong - this addresses a complex research workflow that would be expensive and difficult for a CLI agent alone, combining literature processing, iterative hypothesis refinement, and systematic testing. Minor areas for improvement: some duplication between sections, and the skill assumes significant setup (GROBID, Redis, datasets). Overall, this is a high-quality, production-ready skill that meaningfully reduces complexity for scientific discovery tasks.
davila7
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