Performance loop
SkillDev toolsLets your agent iteratively speed up Fallow code using benchmarks, before-and-after evidence, and correctness checks.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Performance loop skill
About this capability
Rust の性能改善を「計測 → 仮説 → 変更 → 再計測」のループで地道に回すためのスキル。プロファイラの選び方、Cargo の最適化設定、データ構造・アロケーション・ハッシュ・分岐などの定石をフェーズ順に適用する。1 回 1 変更 1 計測の規律を厳守する。rsvelte 固有の既知ボトルネック（`serde_json::Value` 駆逐、`bumpalo` 導入、`Atom<'a>`、codegen 直書き）と OXC 対応表、NAPI 検証手順も §7 に収録。「Rust の性能改善」「ボトルネック調査」「プロファイル取って最適化」などの依頼で使用。
What this skill tells your AI
The instructions your AI receives, as published by baseballyama/rsvelte in .claude/skills/perf-loop/SKILL.md and read by ahel’s review.
- Choose a stable benchmark and preserve its identity and workload.
- Record a statistically useful baseline.
- Profile the hot path before editing.
- Implement one bounded optimization.
- Re-run the same benchmark and correctness checks.
- Keep the change only when the improvement is reproducible and no contract regresses.
- Use a new benchmark identifier for a materially different workload.
- Run
review.
Do not report performance gains from debug builds or incomparable fixtures.
Signals
- GitHub stars
- 215
- Forks
- 10
- Last commit
- Sep 2026
Others that do the same job
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perf-loop- Source
- github.com/baseballyama/rsvelte