1start-mathmodel

Generate plan.md and todo.md and orchestrate a math modeling contest workflow.

3.3k|334|Updated Jan 30, 2025
One-click install
npx skills add https://github.com/jihe520/MathModelAgent --skill 1start-mathmodel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 1start-mathmodel
Source: https://github.com/jihe520/MathModelAgent/tree/main/skills/1start-mathmodel
Command: npx skills add https://github.com/jihe520/MathModelAgent --skill 1start-mathmodel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

本技能提供建模竞赛全流程的总控入口,帮助用户在对话中确定偏好,自动生成计划和待办,并按阶段调度后续技能以完成分析、建模、编码、绘图、论文撰写和验收等任务。

Core Features & Use Cases

  • 自动化启动与偏好采集
  • 生成 plan.md 与 todo.md,并按阶段调度下游技能
  • 支持跨阶段协调与记录决策以确保可追溯性

Quick Start

AskUserQuestions first to gather essential preferences, then generate plan.md and todo.md and orchestrate the end-to-end workflow across stages.

Frequently Asked Questions about 1start-mathmodel

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

FAQPage Schema
How do I automate an end-to-end mathematical modeling workflow from planning to verification?

To automate mathematical modeling orchestration, this skill gathers user preferences, generates a plan.md and todo.md, and sequentially invokes domain-skills across analysis, modeling, coding, graphics, writing, and verification stages.

What is the best way to coordinate cross-stage tasks in a math modeling contest?

Coordinating cross-stage tasks in a math modeling contest requires a central orchestration plan that schedules sequential domain-skills. This skill manages stage transitions, records decisions for traceability, and ensures each phase from analysis to verification executes in order.

How do I generate a structured plan and todo list for mathematical modeling projects?

Generating a structured plan and todo list for mathematical modeling projects starts by gathering user preferences. The skill then automatically creates plan.md and todo.md files to map out the workflow, establishing a traceable schedule for all subsequent modeling stages.

Does this math modeling workflow orchestration require any specific dependencies or components?

This math modeling workflow orchestration requires no external dependencies or components to operate. It functions independently to generate plans, coordinate domain-skills, and record decisions, while optionally supporting extensions via scripts, references, and assets.

Can I extend the mathematical modeling workflow with custom scripts and references?

You can extend the mathematical modeling workflow with optional scripts, references, and assets. The orchestration architecture allows these custom additions to be integrated alongside the automated stage scheduling and decision recording processes.

When should I not use an automated orchestration approach for math modeling tasks?

Automated orchestration for math modeling tasks may not suit scenarios requiring isolated, single-step analysis rather than a full pipeline. If your project does not need cross-stage coordination, plan generation, or multi-domain skill scheduling, manual task management is preferable.