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SkillsMP は ahoynodnarb/reasoning-based-skills から 8 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 8 件中 8 件を表示しています。
A comprehensive skill for maximizing performance on agentic tool-use and competitive coding tasks. Use this skill whenever the user asks the agent to write, debug, or optimize code; solve algorithmic or competitive programming problems; call tools or APIs as…
原文の言語: 英語
Use this skill to maximize response quality on tasks that require precise instruction-following, nuanced writing, deep helpfulness, and well-calibrated reasoning. Trigger this skill whenever the task involves (1) multiple layered or constrained instructions…
原文の言語: 英語
Activate this skill for any task that demands high-quality reasoning, accurate knowledge retrieval, careful multi-step problem solving, or precise answer selection. This skill is especially critical for multiple-choice questions, scientific reasoning,…
原文の言語: 英語
Activate this skill for any problem requiring rigorous mathematical reasoning, formal logical deduction, or structured constraint solving. This includes competition math (algebra, number theory, combinatorics, geometry, AIME/AMC-style), olympiad problems,…
原文の言語: 英語
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework.…
原文の言語: 英語
Apply this skill whenever the user writes in a non-English language, asks questions about regional/cultural knowledge tied to a specific country or language community, poses math or logic problems in any language, or needs to follow multi-step instructions…
原文の言語: 英語
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…
原文の言語: 英語
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding…
原文の言語: 英語