How does this skill help with Aptos development?

It provides precise cost formulas and Move smart contract templates for managing large-scale geographic data, allowing developers to predict gas and storage fees accurately before deployment.

What precision levels does IECsat Storage support?

The skill handles precision from 2-character global quadrants to 17-character microstructures (223 μm resolution), providing specific tile counts and storage metrics for each level.

What is the 69-byte triadic structure?

It is a specialized data model where a tile's state is divided into three 23-byte components: Generator (+1), Coordinator (0), and Validator (-1). This structure ensures that the state is GF(3) conserved, maintaining a net zero trit sum.

Does this skill support off-chain storage solutions?

Yes, it provides a hierarchical strategy that combines on-chain root tiles on Aptos with content-addressed child tiles stored off-chain on platforms like Arweave using Merkle proofs.

IECsat Storage

Name: IECsat Storage
Author: plurigrid

byplurigrid

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Infraestructura en la Nube

Calculates on-chain storage costs and optimizes data structures for geographic Plus Code tiles using triadic GF(3) logic.

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IECsat Storage is a specialized capability designed for blockchain developers and GIS architects working with the Aptos ecosystem. It provides automated calculations for the economic impact of storing geographic data on-chain, utilizing a unique 69-byte triadic state structure (Generator, Coordinator, Validator). The skill enables users to model storage costs from global building coverage down to micro-component tracking, helping determine hierarchical strategies between on-chain roots and off-chain permanent storage like Arweave. It includes Move language implementation patterns and ensures state conservation through GF(3) algebraic principles.

Características Principales

2 GitHub stars
Hierarchical storage strategy development for Zettabyte-scale data
69-byte triadic state modeling (3 x 23 bytes decomposition)
Economic analysis for global asset tracking (e.g., battery cells or buildings)
Move implementation templates for GF(3) conserved state validation
Aptos mainnet storage cost estimation for Plus Code precision levels

Casos de Uso

Implementing verifiable content-addressing systems for geographic tiles
Budgeting and feasibility analysis for decentralized GIS applications
Designing high-density on-chain data structures for industrial asset tracking

Acerca de

Características Principales

2 GitHub stars
Hierarchical storage strategy development for Zettabyte-scale data
69-byte triadic state modeling (3 x 23 bytes decomposition)
Economic analysis for global asset tracking (e.g., battery cells or buildings)
Move implementation templates for GF(3) conserved state validation
Aptos mainnet storage cost estimation for Plus Code precision levels

Casos de Uso

Implementing verifiable content-addressing systems for geographic tiles
Budgeting and feasibility analysis for decentralized GIS applications
Designing high-density on-chain data structures for industrial asset tracking