Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Google Cloud Professional Services is a repository of example solutions and tools for building systems with Google Cloud products. Teams can use them as references or adapt them for workloads involving services such as GKE, BigQuery, Dataflow, and machine learning APIs. The catalogue entries are skills related to this repository.
GoogleCloudPlatform/professional-services
Skill Claude CodeCodex
This skill should be used when the user wants to evaluate an AI agent end-to-end: scaffold an evaluation, design metrics that test a real hypothesis, make an agent measurable, audit generated eval config, read evaluation results, or run an improvement ("hill climbing") loop. Covers evaluation methodology, metric…
GoogleCloudPlatform/professional-services
Skill Claude CodeCodex
Executes high-performance agent evaluations, multi-turn UserSim simulations, and declarative metric grading aligned with google/agents-cli and the Quality Flywheel. Publishes benchmark artifacts to the GCS Evaluation Registry, executes automated head-to-head delta comparisons (--compare-to), and optimizes system…
GoogleCloudPlatform/professional-services
Skill Claude CodeCodex needs its repo
Performs an exhaustive, question-by-question narrative diagnostic breakdown of an agent-eval benchmark run by analyzing questionanswerlog.md, evalsummary.json, and raw trajectory traces. Use when diagnosing low score causes, investigating the Memory Reuse vs. Traceability rubric clash, performing pre-release failure…