Automate benchmarks and profiling to identify performance bottlenecks across commits.
npx skills add https://github.com/sqfzy/my_configs --skill bench-sqfzy
Please help me install this Agent Skill. Skill: bench Source: https://github.com/sqfzy/my_configs/tree/main/claude/skills/bench Command: npx skills add https://github.com/sqfzy/my_configs --skill bench-sqfzy
Automates performance analysis workflows by running benchmarks, profiling, and comparing results to reveal bottlenecks and guide improvements.
Run bench in profile mode against your target to generate a performance report.
High-intent search queries and answers about installing and using this skill.
To identify performance bottlenecks, you can automate benchmarks and profiling tasks against your target codebase. This process profiles hotspots to locate slow paths and generates a structured report for reproducible improvements.
Benchmarking against a baseline commit involves executing baselines to quantify performance, then comparing current results against that specific commit. This tracks progress and generates structured artifacts for reproducible performance analysis.
Automated profiling supports reproducible performance results by recording the environment and enforcing deterministic benchmarks. This ensures structured reports accurately reflect code changes rather than environmental noise.
The best way to profile hotspots is running an automated profiling mode against your target codebase. This directly identifies performance bottlenecks and generates reports guiding structured optimization workflows.
You can compare performance optimization workflows across different branches by comparing current benchmark results against baselines or specific commits. This tracks progress and validates that optimizations yield reproducible improvements.
GGEduMeasure baseline performance and detect regressions across code stacks.
korchasaRun benchmarks to identify skill failure root causes and propose fixes.
lewingParse dotnet/performance auto-filed issues and generate structured triage summaries.
jralphProfile CPU and memory usage to identify TypeScript/JavaScript performance bottlenecks.
