Measure performance baselines and detect regressions for web applications and APIs.
npx skills add https://github.com/Sake-Team/SmartSake --skill benchmark-sake-team
Please help me install this Agent Skill. Skill: benchmark Source: https://github.com/Sake-Team/SmartSake/tree/main/backup/skills/benchmark Command: npx skills add https://github.com/Sake-Team/SmartSake --skill benchmark-sake-team
This Skill provides a comprehensive solution for measuring performance baselines, detecting regressions before/after PRs, and comparing stack alternatives, ensuring optimal performance and reliability.
To measure performance baselines, run /benchmark baseline. To compare against a baseline, run /benchmark compare.
High-intent search queries and answers about installing and using this skill.
To measure performance baselines for web applications and APIs, you can run a dedicated command to capture core metrics like LCP, CLS, FCP, TTFB, and latency. The results are stored in a JSON file for ongoing analysis and regression detection.
You can detect performance regressions by executing benchmarks before and after code changes. Comparing the new metrics against your established baseline highlights any drops in API latency or web application responsiveness prior to deployment.
Comparing the performance of different stacks involves benchmarking each alternative to measure response size and latency. This process identifies the optimal stack configuration by evaluating the captured metrics stored in a JSON file.
For performance optimization, you can track web vitals like LCP, CLS, FCP, and TTFB, alongside API metrics such as latency and response size. These measurements establish a baseline to ensure optimal application reliability.
Yes, you can benchmark web applications and APIs without external dependencies. The skill operates independently using internal scripts to measure baselines, detect regressions, and output results directly to a JSON file for analysis.
If performance benchmarks are not showing regressions after a PR, ensure you executed a baseline measurement prior to the code changes. You must run a comparison against the original JSON data to accurately detect any metric deviations.
JordiNodeJSOptimize Next.js 16 performance by targeting Core Web Vitals and caching.
monktuiBenchmarks Flash Attention, HNSW search, and memory usage against stored baselines.
CybLowIntegrate pytest-benchmark benchmarks into CI/CD pipelines to detect performance regressions.
vnmoorthyMonitor live apps for console errors and performance regressions post-deploy.
