bzd-cumcm-school-awards

Query CUMCM school award history and assess student preparation against award targets.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, and includes scripts (resource) and assets (resource) components.

What problem does it solve? Students preparing for the CUMCM (China Undergraduate Mathematical Contest in Modeling) lack visibility into their school's historical national award performance and cannot gauge how their personal preparation compares to provincial or national award thresholds. ## Core Features & Use Cases - School Award Lookup: Query a bundled Excel workbook for a school's 2021-2025 first/second prize counts, five-year totals, 2026 forecast, and most frequent advisor, with fuzzy name matching and ambiguity handling. - Preparation Assessment: Evaluate a student's readiness for provincial third prize, provincial first/second prize, or national awards based on prior competition experience, simulations completed, and school history. - Use Case: A student asks whether their school has won national awards in the past five years and what it would take to target a provincial first prize; the Skill queries the workbook, then produces a gap analysis and next-step action plan. ## Quick Start Ask the assistant to query your school's CUMCM national award record for 2021-2025 and assess your preparation distance from a provincial first prize.

Frequently Asked Questions about bzd-cumcm-school-awards

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

FAQPage Schema
How do I query a school's CUMCM national award history?▼

Run the query_school.py script with --school and optionally --region arguments. It fuzzy-matches the school name against the bundled Excel workbook and returns 2021-2025 prize counts, five-year totals, a 2026 forecast, and the most frequent advisor.

How does the skill assess preparation for provincial or national awards?▼

It first queries the school's award history, then asks about prior modeling competitions, awards, completed simulations, and target prize. Based on tiered rules for provincial third, provincial first/second, and national awards, it outputs school foundation, personal readiness, target gap, and next actions.

What happens when a school name matches multiple entries?▼

The script returns an ambiguous status with up to eight candidate schools and their regions, prompting the user to confirm the correct one. A clear match requires a similarity score gap of at least 0.08 over the runner-up.

What does the 6.81% figure mean for unlisted schools?▼

It is an owner-supplied school-level heuristic estimating the chance that a school with no national awards in the past five years might win one this year. It is not an individual winning probability or an official statistic, and individual outcomes may differ substantially.

Does the skill guarantee or predict individual award outcomes?▼

No. The skill explicitly avoids promising awards and labels all probability figures as informal, highly uncertain estimates. Every assessment ends with a disclaimer that it is an experience-based evaluation, not an official probability.