Generate a compliant Chinese mathematical-modeling problem-restatement chapter from a complete problem statement, or review a user's restatement against the original problem. Covers research background, problem review, and research overview; does not perform the separate problem-analysis chapter.
0 on GitHubby Yjj0333v1.0.0updated 2 months agoEducation & Research
Plugin bzd-problem-restatement in Yjj0333/mathmodel-plugins. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (1)
bzd-problem-restatement
Generate a compliant Chinese mathematical-modeling problem-restatement chapter from a complete problem statement, or review a user's restatement against the original problem. Covers research background, problem review, and research overview; does not perform the separate problem-analysis chapter.
Review a user-provided Chinese mathematical-modeling abstract without requiring the problem statement or full paper, identify concrete writing defects, and prioritize revisions. Use when the user asks to check, diagnose, or improve a modeling-paper abstract; do not claim coverage or factual consistency that cannot be verified without the problem or paper.
Generate or review mathematical-modeling competition AI tool usage statements and the anonymous AI工具使用详情.pdf. Use when users provide real AI usage records, or when checking a paper, statement, details PDF, code, and AI records for completeness, anonymity, and consistency.
Query 2021-2025 CUMCM school awards and 2026 forecasts, or assess a student's preparation distance from provincial and national awards using school history and prior modeling experience.
Review a mathematical-modeling paper's model-assumption section against the complete problem statement. Diagnose whether each assumption is necessary, evidence-based, compatible with the task, appropriately simplified, and usable by the later model. Use for assumption review, not automatic full-paper review or unsupported assumption generation.
General life-sciences research workflows with query routing, evidence synthesis, and optional parallel subagent analysis across genetics, omics, biology, chemistry, structure, clinical evidence, and public dataset discovery.
Cross-profession skills: Press Release, Grant Proposal, Executive Summary, Teaching Lesson Plan, Sycophancy Challenger, Last 30 Days Research, NotebookLM Connector, Professional Brain, Action Runner. Get genuine push-back on your ideas, gather multi-platform research, automate NotebookLM — plus the Professional Brain: a durable local memory skills read & write back (provenance-tagged), and Action Runner to execute a skill's recommendations (open tickets, post updates) safely behind a dry-run approval gate.
Twelve-skill bundle covering the Review of Educational Research (RER) review-article lifecycle, from scoping a synthesis-worthy question and a preregistered protocol through systematic search, the organizing framework, comprehensiveness and risk-of-bias, PRISMA/MARS transparency, submission, and revision.
Edit mathematically, empirically, or technically dense papers for readers outside the author’s specialty, including empirical legal scholarship, law-and-economics models, and legal-technology research. Clarifies terminology, antecedents, study design, and claim–statistic relationships while checking equations, numbers, quotations, and citations against the source. Use to clarify exposition or de-jargonize a technical draft; not to rewrite briefs or doctrinal arguments. Produces an edited draft and audit memo. Full integrity checks and original-format rendering require suitable extraction, code execution, and document tools; otherwise provides proposed edits with verification limits disclosed.
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