bzd-problem-translator

Translates CUMCM modeling problems sentence by sentence into a Markdown report with a Mermaid dependency flowchart.

Updated Aug 26, 2026
One-click install
npx skills add https://github.com/Yjj0333/skills-manager-backup --skill bzd-problem-translator-yjj0333
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bzd-problem-translator
Source: https://github.com/Yjj0333/skills-manager-backup/tree/main/bzd-problem-translator
Command: npx skills add https://github.com/Yjj0333/skills-manager-backup --skill bzd-problem-translator-yjj0333

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Contest problem statements for mathematical modeling competitions like CUMCM are dense, and missing a single condition, definition, or cross-question dependency can invalidate an entire solution. This Skill performs a sentence-by-sentence semantic translation of the full problem into precise modeling language, exposing hidden constraints and producing an auditable coverage ledger. ## Core Features & Use Cases - Sentence-by-sentence translation ledger: Preserves every exact source sentence with explicit facts, implied modeling signals, cross-sentence links, and omission-risk notes. - Mandatory Mermaid cross-question flowchart: Maps shared definitions and data through every numbered question, including parallel branches, convergence, and validation return edges. - Completeness audit: Verifies that every substantive source unit appears exactly once, every numbered question is covered, and pre-title boilerplate is excluded. - Use Case: A team receives a 2024 CUMCM Problem B PDF. They paste the full text and receive one UTF-8 Markdown report with an overview, terminology table, per-question input-task-output matrix, Mermaid dependency graph, and a list of the most easily misread sentences. ## Quick Start Use the bzd-problem-translator skill to translate this complete CUMCM problem statement sentence by sentence and generate the Markdown report with the Mermaid cross-question flowchart.

Frequently Asked Questions about bzd-problem-translator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I translate a CUMCM problem statement into modeling requirements?▼

Provide the complete problem text including title, background, all numbered questions, tables, and attachment descriptions. The skill builds a sentence-by-sentence ledger translating each source sentence into modeling language, then delivers one Markdown report with a Mermaid dependency flowchart.

What does the cross-question dependency flowchart show?▼

The Mermaid flowchart shows how shared definitions and attachment data feed each numbered question, which results pass between questions, and where later questions validate or correct earlier ones. Every numbered question must appear as a distinct node or the report is not delivered.

Does it solve the modeling problem or just interpret it?▼

It only interprets and translates the problem statement; it does not solve the problem or fabricate results. Model-family hints appear only to clarify the semantic meaning of a sentence, never as a proposed solution.

What output formats does the problem translation produce?▼

It produces exactly one UTF-8 Markdown file following a fixed heading structure: overview, translation ledger, terminology table, input-task-output matrix, Mermaid flowchart, misreading risks, and completeness audit. XLSX, CSV, HTML, or images are not created unless separately requested.

How does it handle ambiguous or unclear problem wording?▼

Ambiguous phrases are quoted with all plausible interpretations and their downstream consequences listed. The skill selects an interpretation only when context supports it, otherwise it recommends scenario or sensitivity treatment rather than inventing an official reading.

What happens if part of the problem statement is missing?▼

If a referenced attachment description or page is missing, the skill identifies the gap before claiming complete coverage. The completeness audit section reports covered and missing attachments, unresolved ambiguities, and OCR uncertainties.