A full-stack mathematical modeling contest (CUMCM / MCM·ICM and others) problem-solving Agent Skill: reading and decomposing problems, locating past exam problems, formulating assumptions, selecting models, solving with Python, sensitivity and error analysis, and writing papers and abstracts.
This Agent Skill, `ohGGBob/shumo-problem-solving`, is designed for participants in mathematical modeling competitions such as China's CUMCM and the international MCM·ICM. It provides an end-to-end workflow to help teams efficiently solve problems: reading and decomposing the problem statement, retrieving similar past exam problems, formulating model assumptions, selecting appropriate mathematical models, implementing Python-based solutions, conducting sensitivity and error analysis, and finally drafting the competition paper and abstract. The skill supports various contest formats and is particularly useful for standardizing the modeling process, saving time, and improving solution quality. It works by leveraging a structured pipeline that guides the agent through each step, from initial problem understanding to final deliverable creation, making it an invaluable tool for both novice and experienced teams.
npx skills add ohGGBob/shumo-problem-solvingInstalled? Explore more Coding & Development skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
An all-in-one problem-solving Agent Skill for mathematical modeling contests (CUMCM / MCM·ICM and other competitions): reading and decomposing problems, locating past exam problems, formulating model assumptions, selecting models, solving with Python, sensitivity and error analysis, and writing papers and abstracts.
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