Aptos Gas & Performance Optimization Expert
技能 已验证 活跃Expert on Aptos gas optimization, performance tuning, storage costs, execution efficiency, inline functions, aggregator usage, parallel execution, table vs vector tradeoffs, and gas profiling tools. Triggers on keywords gas optimization, performance, gas cost, storage fee, inline, aggregator, parallel execution, gas profiling, optimization
To provide expert guidance and practical patterns for optimizing gas costs and performance in Aptos smart contracts, enabling developers to write more efficient and cost-effective code.
功能
- Detailed explanation of Aptos gas model components
- Guidance on storage optimization and data structure tradeoffs
- Strategies for execution efficiency, including inline functions and loop optimization
- Explanation and examples of parallel execution using aggregators
- Information on gas profiling tools and benchmarking
使用场景
- When designing new Aptos smart contracts and needing to minimize gas costs from the outset
- When analyzing existing Aptos smart contracts to identify performance bottlenecks and storage inefficiencies
- When exploring advanced Aptos development patterns like parallel execution and efficient data handling
- When seeking to understand and leverage Aptos-specific gas optimization techniques
非目标
- General Aptos smart contract development outside of gas and performance
- Automated refactoring of Move code for gas optimization
- Real-time monitoring of deployed contract gas usage
实践
- Code quality
- Performance engineering
- Smart contract development
Documentation
- info:READMEA README exists but is for the entire claude-starter pack, not specifically for this skill. The SKILL.md frontmatter serves as the primary documentation for this skill.
安装
npx skills add raintree-technology/claude-starter通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
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