Run Rust Benchmarks

What it does

This skill enables AI agents to execute Rust benchmarks directly within their runtime environment. It facilitates performance testing of Rust code by leveraging pre-configured benchmarking tools and standard libraries available in the agent's execution context.

When to use it

• Validating the performance characteristics of newly written or refactored Rust modules before production deployment.
• Comparing the execution speed of different algorithmic implementations written in Rust.
• Stress-testing backend services built with Rust to identify potential bottlenecks under load.
• Establishing a baseline for micro-benchmarking specific functions without setting up a separate CI/CD pipeline.

Key capabilities

• Direct execution of Rust benchmark suites within the agent environment.
• Integration with standard Rust profiling and timing utilities.
• Support for running custom benchmark scripts written in Rust syntax.
• Automated collection of performance metrics during runtime.

Example prompts

• "Run the criterion benchmark suite on my local sorting.rs module and report the throughput results."
• "Execute a micro-benchmark comparing the memory allocation overhead of two different data structure implementations in Rust."
• "Set up and run a stress test using the sysbench crate to evaluate the latency of my new API handler."

Tips & gotchas

Ensure your Rust code is compiled with optimization flags (e.g., -O) before running benchmarks to get accurate performance data. This skill requires the agent to have access to a compatible Rust toolchain and necessary dependencies installed in its environment.