Alternatives to agent-platform-eval-flywheel
50 AI Skills apps to use instead, best rated first.
Top picks
- W
webapp-testing
LaunchNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
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content-research-writer
LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
- O
openhue
Launchopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- B
batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- I
implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F
frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
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brainstorming
Transform rough ideas into fully-formed designs through structured questioning
finishing-a-development-branch
Guides completion of development work by presenting clear options
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About agent-platform-eval-flywheel
agent-platform-eval-flywheel
Measures and improves the quality of AI models and agents on Google Cloud
Agent Platform eval flywheel is an agent skill for measuring and improving the quality of generative AI models and agents on Google Cloud. It uses the Agent Platform GenAI Evaluation SDK, through client.evals.evaluate(), and follows what the skill calls the Eval Quality Flywheel, a loop in which you evaluate, read the results, change the system and evaluate again. The skill covers creating evaluation datasets from session traces, from pandas DataFrames or by synthetic generation, selecting and configuring evaluation metrics and writing custom ones, and analyzing rubric verdicts, loss patterns and clusters of failures. Based on the results, it suggests concrete code or prompt changes. It can also evaluate a model served on an Agent Platform endpoint, a bring-your-own model, or a Model-as-a-Service model by ID, and it will deploy the model first when needed, using the deployment reference and the endpoint and MaaS evaluation scripts it includes. The skill is useful for teams that want an evidence-based way to tell whether a model or agent change made things better or worse. It is published by Google on skills.sh under the google skills repository, and the listing shows Gen Agent Trust Hub, Socket and Snyk all passing.
- Price
- Free
- Made by
- Category
- AI Skills
- Website
- github.com/google/skills/agent-platform-eval-flywheel