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SkillsMP는 ahoynodnarb/reasoning-based-skills에서 8개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 8개 중 8개를 표시합니다.
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…
원문 언어: 영어
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…
원문 언어: 영어
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,…
원문 언어: 영어
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,…
원문 언어: 영어
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.…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어