Update Rust Shogi engine performance documentation with benchmark results.
npx skills add https://github.com/SH11235/rshogi --skill rust-sh11235
Please help me install this Agent Skill. Skill: Rust エンジン パフォーマンスドキュメント更新 Source: https://github.com/SH11235/rshogi/tree/main/.claude/skills/update-rust-perf-docs Command: npx skills add https://github.com/SH11235/rshogi --skill rust-sh11235
This Skill automates the process of updating performance documentation for the Rust Shogi engine, ensuring that benchmark results and performance analyses are always current.
docs/performance/README.md with the latest performance metrics.perf_all.sh).Update the Rust engine performance documentation with the latest benchmark results.
High-intent search queries and answers about installing and using this skill.
You can automate updating performance documentation by parsing output from performance measurement scripts, analyzing NPS and parallel efficiency metrics, and writing the new data into the README.md file.
The best way to compare profiling results is to parse the latest script outputs and perform a comparative analysis against historical metrics to identify whether the engine shows performance improvements or regressions.
Yes, you must run performance measurement scripts like perf_all.sh beforehand. The documentation update process requires this generated output data to parse the latest NPS and hotspot analysis for the README.
Yes, you can integrate NPS and parallel efficiency metrics by parsing the benchmarking script outputs and automatically refreshing the docs/performance/README.md file with the updated data and historical context.
Your documentation update shows missing benchmark data because the performance measurement scripts were not executed prior to invocation, meaning there was no profiling output available to parse and analyze.
The specific performance metrics analyzed include NPS (nodes per second), parallel efficiency, and hotspot analysis, which are extracted from script outputs to track the engine's performance characteristics over time.
tobiProfile and optimize LiquidIL render performance across VM and compiled backends.
whd4Monitor live deployments for console errors, performance regressions, and page failures.
fcouryAnalyze Rust libraries for runtime performance and memory optimization opportunities.
lucas-flatwhiteAutomates web performance audits to detect regressions via page timing metrics.