Analyze bundles, benchmarks, and runtime metrics to report performance issues.
npx skills add https://github.com/rube-de/cc-skills --skill perf-rube-de
Please help me install this Agent Skill. Skill: perf Source: https://github.com/rube-de/cc-skills/tree/main/plugins/dlc/skills/perf Command: npx skills add https://github.com/rube-de/cc-skills --skill perf-rube-de
Performance bottlenecks in codebases are hard to identify and track; this skill analyzes bundles, benchmarks, and runtime metrics and creates a structured GitHub issue with findings.
Run the perf analysis on the repository to generate a GitHub issue with the findings.
High-intent search queries and answers about installing and using this skill.
Performance bottlenecks in web projects are identified through bundle analysis to surface size-related regressions. This skill analyzes bundles, benchmarks, and runtime metrics to generate a structured report of build-time and runtime issues.
Yes, you can track code performance regressions by automatically creating GitHub issues. This skill outputs a structured finding report based on bundle analysis and benchmarks, generating a standardized GitHub issue per issue template.
Performance analysis works with Rust, Go, Node, and other ecosystems. It applies to web projects, libraries, and CLI tools to surface build-time, runtime, and resource bottlenecks across these languages.
The best way to compare benchmark results across commits is by collecting and analyzing them with performance tooling. This skill gathers benchmarks and runtime metrics to identify and report performance issues in your codebase.
CI templates are optional for running runtime metrics analysis. The skill requires tooling support for bundle analysis and benchmarks, while applying optional CI templates to surface build-time and runtime bottlenecks.
Bundle analysis reports size-related regressions because performance bottlenecks in codebases are hard to track manually. This skill analyzes bundles and runtime metrics to surface these build-time issues in a structured finding report.
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