Skip to content

■ SKILLS // SKILL SPECS

yzmir-simulation-foundations

Game simulation mathematics - ODEs, stability, control theory - 9 skills

■ [!] ON THIS PAGE ▼
■ INSTALL // npx @self.md/cli install yzmir-simulation-foundations
Authortachyon-beep
Namespace@tachyon-beep/foundryside-marketplace
Category#ai-ml
Version1.0.0
Stars★ 8
Downloads↓ 3
Verification[ ✓ ] self.md verified

Game simulation mathematics - ODEs, stability, control theory - 9 skills

Installation

npx claude-plugins install @tachyon-beep/foundryside-marketplace/yzmir-simulation-foundations

Contents

Folders: agents, commands, skills

Included Skills

This plugin includes 1 skill definition:

using-simulation-foundations

Router for simulation math - ODEs, state-space, stability, control, numerics, chaos, stochastic

View skill definition

Using Simulation-Foundations (Meta-Skill Router)

Your entry point to mathematical simulation foundations. This skill routes you to the right combination of mathematical skills for your game simulation challenge.

Purpose

This is a meta-skill that:

  1. ✅ Routes you to the correct mathematical skills
  2. ✅ Combines multiple skills for complex simulations
  3. ✅ Provides workflows for common simulation types
  4. ✅ Explains when to use theory vs empirical tuning

You should use this skill: When building any simulation system that needs mathematical rigor.


How to Access Reference Sheets

IMPORTANT: All reference sheets are located in the SAME DIRECTORY as this SKILL.md file.

When this skill is loaded from: skills/using-simulation-foundations/SKILL.md

Reference sheets like differential-equations-for-games.md are at: skills/using-simulation-foundations/differential-equations-for-games.md

NOT at: skills/differential-equations-for-games.md ← WRONG PATH

When you see a link like [differential-equations-for-games.md](differential-equations-for-games.md), read the file from the same directory as this SKILL.md.


Core Philosophy: Theory Enables Design

The Central Idea

Empirical Tuning: Trial-and-error adjustment of magic numbers

  • Slow iteration (run simulation, observe, tweak, repeat)
  • Unpredictable behavior (systems drift to extremes)
  • No guarantees (stability, convergence, performance)
  • Difficult debuggin

Source

View on GitHub