market-pricing

Simulate dynamic market pricing with seeded LCG random number generation.

1|Updated Jun 6, 2026

Search Tags:#dynamic pricing #market simulation #random number generation #rarity multipliers #game economics

Ready to run

npx skills add https://github.com/diadia0000/ForWanna --skill market-pricing

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: market-pricing
Source: https://github.com/diadia0000/ForWanna/tree/main/.claude/skills/ui/MarketPricing
Command: npx skills add https://github.com/diadia0000/ForWanna --skill market-pricing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the creation of dynamic market pricing models with daily seeded randomness, ensuring accurate market simulation for resource-driven games.

Core Features & Use Cases

Daily Pricing Simulation: Rebuilds the market pricing algorithm for dynamic daily market adjustments based on randomized game days.
Seeded RNG for Consistency: Ensures identical pricing for multiple players by using game days as a seed for random number generation.
Rarity-Based Multipliers: Multiplies prices based on item rarity to simulate realistic market dynamics.
Daily Blueprint Rotation: Introduces a system where blueprints change daily to mimic market fluctuations and player decisions.

Quick Start

Calculate the price of a rare item in game day 7.

Frequently Asked Questions about market-pricing

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

FAQPage Schema

How do I ensure dynamic market pricing stays consistent across multiple players in a game simulation?▼

Dynamic market pricing stays consistent by using a seeded LCG random number generator with the game day as the seed, ensuring identical pricing outputs across all players on the same simulated day.

What is the best way to simulate daily price variance for game items?▼

To simulate daily price variance, apply rarity multipliers to item prices and use a seeded random number generator to introduce daily market fluctuations based on the current game day.

How do I apply rarity multipliers to calculate dynamic item prices in Python?▼

To apply rarity multipliers for dynamic item prices in Python, multiply the base price by rarity multipliers and apply daily price variance using a seeded LCG random number generation algorithm.

Can I use a seeded LCG for daily blueprint rotation in game economics?▼

Yes, a seeded LCG can drive daily blueprint rotation to mimic market fluctuations, changing available blueprints daily while ensuring the rotation pattern remains consistent across multiple players.

Does dynamic market simulation require external dependencies for Python random number generation?▼

No, this dynamic market simulation relies on a seeded LCG random number generation algorithm implemented in Python scripts, requiring no external dependencies to maintain pricing consistency.