kaoyan-math-core

Coordinates MemOS-backed learning context for Kaoyan Math knowledge graphs and cross-subject links.

18|2|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/Treasoni/kaoyan_skills --skill kaoyan-math-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kaoyan-math-core
Source: https://github.com/Treasoni/kaoyan_skills/tree/main/kaoyan-math-core
Command: npx skills add https://github.com/Treasoni/kaoyan_skills --skill kaoyan-math-core

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill centralizes and coordinates the core infrastructure for 考研数学 learning, enabling MemOS integration, dispatch signal processing, unified error tracking, cross-subject knowledge linking to support proactive learning paths.

Core Features & Use Cases

  • MemOS integration for persistent user context, mistake history, and knowledge cards to enable personalized coaching and progress tracking.
  • Knowledge graph management and cross-subject linking to connect mathematics with electronics, supporting holistic study plans and adaptive learning paths.
  • Dispatch signal handling and centralized orchestration to trigger sub-skills (notes, structure) and coordinate end-to-end workflows across modules.

Quick Start

Load the user context from MemOS and initialize the core coordination layer for Kaoyan Math.

Frequently Asked Questions about kaoyan-math-core

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

FAQPage Schema
How do I track mistakes and build a knowledge graph for Kaoyan math review?

You can track mistakes and build a knowledge graph for Kaoyan math by using MemOS integration to persist user context, mistake history, and knowledge cards. This centralizes error tracking and generates adaptive learning paths.

What is cross-subject knowledge linking and how does it support holistic math study plans?

Cross-subject knowledge linking connects mathematics knowledge points with electronics subjects. It manages knowledge graph relations to support holistic study plans and generate adaptive learning paths across different subjects.

How do I initialize learning context management for Kaoyan math preparation?

To initialize learning context management for Kaoyan math, load the user context from MemOS and initialize the core coordination layer. This sets up dispatch signal handling and unified error tracking for your study workflow.

Does this Kaoyan math coordination layer require MemOS to function?

MemOS is not strictly required to function. The coordination layer implements modular MemOS integration and provides safe fallbacks when MemOS is unavailable, ensuring continuous dispatch signal processing and knowledge-point relations.

How do dispatch signals trigger sub-skills for notes and structure during math learning?

Dispatch signals trigger sub-skills for notes and structure through centralized orchestration. The coordination layer handles these signals to coordinate end-to-end workflows across modules and maintain persistent learning context.

What are the limitations of using MemOS for persistent math mistake history?

A limitation of using MemOS for persistent math mistake history is relying on its availability. However, the core coordination layer implements safe fallbacks when MemOS is unavailable to maintain basic dispatch signals and knowledge-point relations.