Agent Platform Eval Flywheel
Measures and improves the quality of AI models and agents on Google Cloud using the...
Install
npx skills add google/skills --skill agent-platform-eval-flywheel -g -a claude-code -y- Repository
- google/skills21.8k
- Category
- Data and ML
- Updated
- 3d ago
- License
- Apache-2.0
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
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.
Agent Platform Eval Flywheel Skill
Help users evaluate and iteratively improve GenAI models and agents using the
Agent Platform GenAI Evaluation SDK (google.genai / agentplatform).
When to use this skill
- Evaluating GenAI agents or models with the Agent Platform GenAI Evaluation
SDK (
client.evals.evaluate()). - Creating evaluation datasets from session traces, pandas DataFrames, or synthetic generation.
- Selecting, configuring, or writing custom evaluation metrics.
- Analyzing rubric verdicts, loss patterns, and clustering failures.
- Suggesting concrete code/prompt improvements based on eval results.
- Evaluating a model served on an Agent Platform endpoint (BYOM) or a
Model-as-a-Service (MaaS) model by ID, including deploying the model
first if needed. For this case, follow
references/deployment.md and use the
endpoint_evaluation.py/maas_evaluation.pyscripts.
Safety & Confirmation Tiers (CRITICAL)
Before executing any commands or scripts on behalf of the user, you MUST adhere to the following safety tiers based on the action requested:
