Compare Criterion and hyperfine benchmark deltas between two git worktrees.
npx skills add https://github.com/ewhauser/shuck --skill bench-compare-ewhauser
Please help me install this Agent Skill. Skill: bench-compare Source: https://github.com/ewhauser/shuck/tree/main/.claude/skills/bench-compare Command: npx skills add https://github.com/ewhauser/shuck --skill bench-compare-ewhauser
Compare benchmark performance between two git worktrees (or the current worktree vs main). Runs Criterion microbenchmarks and hyperfine macrobenchmarks, extracts deltas, and drills down into regressions. Use this skill whenever you need to verify performance parity or identify regressions across branches.
Run the bench-compare workflow to generate a delta report comparing two git worktrees.
High-intent search queries and answers about installing and using this skill.
To compare benchmark performance between two git worktrees, you run a workflow that executes Criterion microbenchmarks and hyperfine macrobenchmarks on both, extracting performance deltas to generate a comparative report. It contrasts a feature worktree against main.
You can detect performance regressions before merging by running benchmark comparisons against the main branch. The generated delta report highlights wall-clock macrobenchmark and microbenchmark regressions to guide optimization and assess risk.
Yes, bench-compare works with both Criterion microbenchmarks and hyperfine macrobenchmarks. It runs both benchmark types across git worktrees to extract deltas, covering components like lexer, parser, semantic, and linter performance alongside wall-clock times.
Benchmarking performance across git worktrees requires specific setup such as shared target directories. This shared directory configuration is necessary for the tool to correctly execute and compare Criterion and hyperfine benchmarks between the current and main worktrees.
Yes, you can use this for CI performance validation and release testing. It is designed to verify performance parity and identify regressions across branches, making it suitable for continuous integration workflows and triaging performance regressions during releases.
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