A specialized tool for analyzing and optimizing Aptos Move smart contracts to minimize gas consumption and transaction costs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install analyze-gas-optimization
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install analyze-gas-optimization using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Analyze Gas Optimization?
The analyze-gas-optimization skill is a technical powerhouse designed for blockchain developers working within the Aptos ecosystem. It provides deep analysis of Move contracts to identify high-cost operations such as inefficient global storage access, expensive vector manipulations, and wasteful string operations. By leveraging this Openclaw Skills extension, developers can transform expensive code into lean, high-performance smart contracts.
This skill goes beyond simple identification by suggesting specific architectural patterns, such as storage packing, lazy evaluation, and the conversion of O(n) linear searches into O(1) table lookups. It ensures that every transaction on the Move VM is as cost-effective as possible without sacrificing security or functionality.
Analyze Gas Optimization Use Cases
- Preparing Move smart contracts for final mainnet deployment to minimize operational overhead.
- Reducing high transaction costs in complex DeFi protocols with frequent state updates.
- Optimizing high-frequency operations where even minor gas savings scale significantly.
- Benchmarking gas usage during the development lifecycle to prevent cost regressions.
How Analyze Gas Optimization Works
- The AI agent scans the provided Move source code triggered by phrases like optimize gas or gas analysis.
- It identifies expensive patterns in global storage, vector usage, and computational loops.
- The skill evaluates the data structures for potential storage packing or replacement with more efficient types like Tables or SmartTables.
- It generates a comprehensive Gas Optimization Report, comparing 'Before' and 'After' metrics.
- The agent provides optimized code snippets alongside explanations of the applied Move gas principles.
Analyze Gas Optimization Setup
To use this within your environment, ensure you have the Aptos CLI installed for simulations. You can trigger the gas analysis directly through your Openclaw Skills enabled agent:
# Simulate a transaction to get baseline gas estimates
aptos move run-function \
--function-id 0x1::module::function \
--args <ARGS> \
--simulate
Analyze Gas Optimization Data Schema & Taxonomy
The skill generates a structured Gas Optimization Report and utilizes a taxonomy based on the Aptos Gas Schedule. Key data points include:
| Data Category | Metrics Captured |
|---|---|
| Storage | Struct size in bytes, global storage access frequency, resource existence checks. |
| Computation | Loop complexity, bitwise operation usage, redundant calculation counts. |
| Collections | Vector growth patterns, search complexity (O(n) vs O(1)). |
| Events | Data payload size, redundancy in logged fields. |
Analyze Gas Optimization Advanced Features
- Multi-agent integration with security-audit to ensure gas-saving changes do not introduce vulnerabilities.
- Automated gas profiling within Move unit tests using gas::remaining_gas().
- Bitwise flag implementation suggestions to collapse multiple boolean fields into a single byte.
- Smart collection migration advice (e.g., converting Vectors to SmartTables for massive datasets).
SKILL.md
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