/agent-platform-eval-flywheel
用 Eval Quality Flywheel 方法，衡量並改善 Google Cloud 上 AI 模型與 agent 的品質。要產生合成使用者情境、評估 agent、建立評估資料集或分析失敗時使用。
- 安裝次數
- 8800
- 專案星數
- 2.2 萬 ★
- 授權
- Apache-2.0
- 專案更新
- 2026-11-02
怎麼裝
npx skills add https://github.com/google/skills --skill agent-platform-eval-flywheel安裝前請先看過原文內容。中文說明是 AI 翻譯，不保證安全。
原文
Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when generating synthetic user scenarios, evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For general production deployment, use agent-platform-deploy.