analyze-gas-optimization

Analyze Aptos Move smart contracts for gas efficiency and suggest optimizations.

19|8|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/aptos-labs/aptos-agent-skills --skill analyze-gas-optimization
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze-gas-optimization
Source: https://github.com/aptos-labs/aptos-agent-skills/tree/main/skills/move/analyze-gas-optimization
Command: npx skills add https://github.com/aptos-labs/aptos-agent-skills --skill analyze-gas-optimization

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers identify and fix expensive operations in their Aptos Move smart contracts, significantly reducing transaction costs and improving performance.

Core Features & Use Cases

  • Gas Cost Analysis: Pinpoints costly operations like excessive storage access or inefficient vector manipulations.
  • Optimization Strategies: Provides concrete patterns for storage packing, batch operations, and lazy evaluation.
  • Use Case: Before deploying your smart contract to mainnet, use this skill to analyze its gas usage and apply optimizations to ensure lower transaction fees for your users.

Quick Start

Analyze the gas usage of the my_contract::my_function function and suggest optimizations.

Frequently Asked Questions about analyze-gas-optimization

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

FAQPage Schema
How do I optimize Move smart contracts for gas efficiency on Aptos?

Optimize Move smart contracts for gas efficiency by analyzing storage, computation, and reference patterns to identify costly operations and apply targeted optimizations to reduce transaction costs.

What are the most expensive operations in Aptos Move smart contracts?

Expensive operations in Aptos Move smart contracts typically include excessive storage access and inefficient vector manipulations, which significantly increase gas usage and transaction costs.

How do I reduce transaction costs in Move before deploying to mainnet?

Reduce transaction costs in Move before mainnet deployment by analyzing gas usage and applying optimization strategies like storage packing, batch operations, and lazy evaluation.

What optimization patterns work best for reducing gas in Move VM?

Effective optimization patterns for reducing gas in Move VM involve storage packing, batch operations, and lazy evaluation techniques, which streamline computation and minimize storage access.

Can I analyze gas usage for specific functions in my Move contract?

You can analyze gas usage for specific Move contract functions by targeting them for evaluation, which pinpoints costly operations and provides detailed optimization checklists and measurement techniques.

What measurement techniques are available for Move VM gas optimization?

Move VM gas optimization utilizes detailed checklists and measurement techniques to evaluate storage, computation, and reference patterns, ensuring accurate identification of expensive operations and transaction cost reduction.