How does the Benchmark Advisor know which tests to run?

It analyzes your git diff to identify changed files and then uses a mapping.toml file to match those file patterns to specific Criterion benchmark suites.

Does it support languages other than Rust?

While the logic is flexible, it is currently pre-configured to work best with Rust environments using cargo bench and Criterion.

Can I customize the benchmark recommendations?

Yes, you can modify the mapping.toml file in the repository to define your own file patterns, benchmark commands, and the reasons for why they should be run.

When does this skill activate?

It activates when you ask Claude what benchmarks to run or when you are preparing to commit changes to performance-critical areas of your codebase.

Benchmark Advisor

Name: Benchmark Advisor
Author: wildcard

bywildcard

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安全与测试

Identifies performance-critical code changes and recommends specific Criterion benchmarks to prevent regressions.

关于

The Benchmark Advisor skill streamlines the performance optimization workflow by automatically analyzing git diffs to detect changes in performance-sensitive source files. By mapping modified files to their corresponding Criterion benchmark suites via a configurable mapping file, it provides actionable cargo bench commands tailored specifically to your current work. This ensures developers can verify the performance impact of their changes immediately, reducing the risk of accidental regressions and saving significant time by running only the relevant tests rather than the entire project suite.

主要功能

Customizable mapping configuration via TOML
Automated mapping of code to Criterion benchmarks
23 GitHub stars
Direct cargo bench command generation
Git-aware file change detection
Performance-impact explanations for recommendations

使用场景

Verifying performance impact after refactoring core cache logic
Optimizing local development cycles by executing targeted performance tests
Identifying necessary benchmarks during pre-commit reviews

关于

主要功能

Customizable mapping configuration via TOML
Automated mapping of code to Criterion benchmarks
23 GitHub stars
Direct cargo bench command generation
Git-aware file change detection
Performance-impact explanations for recommendations

使用场景

Verifying performance impact after refactoring core cache logic
Optimizing local development cycles by executing targeted performance tests
Identifying necessary benchmarks during pre-commit reviews