Ce Optimize (Grade A)セキュリティテスト済みの開発スキル。クラウド AI 用。A 級。メトリクス駆動型の反復的最適化ループを実行。目的に基づいて測定値の目標を定義し、測定値の骨組みを構築し、それらの各試行を並行して実行して、さまざまなアプローチを試そう。

Is Ce Optimize suitable for non‑ML code changes?

Yes, the skill is generalized for multi‑file code changes and non‑ML domains, allowing systematic optimization beyond purely machine‑learning tasks.

Asked by Hiroshi Tanaka · Aug 6, 2025

Do I need special hardware or resources to run Ce Optimize?

Running multiple parallel experiments can be computationally intensive, so sufficient CPU/GPU resources are recommended, especially for large codebases or heavy metric calculations.

Asked by Oscar Lindqvist · Jul 30, 2025

How does Ce Optimize evaluate and select the best experiment?

Each parallel experiment is scored against hard gates and/or LLM-as-judge quality metrics; the system keeps improvements that meet the gates and converges toward the highest‑scoring solution.

Asked by Yuki Kobayashi · Jul 22, 2025

What kind of measurable goals can I set for Ce Optimize?

You can define any quantifiable objective such as clustering quality, search relevance, build performance, or prompt quality, as long as you can build measurement scaffolding to evaluate it.

Asked by Amara Chukwu · Jun 14, 2025