Agent Platform Tuning
Agent Platform Model Tuning.
Install
npx skills add google/skills --skill agent-platform-tuning -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
Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).
Agent Platform Model Tuning
Overview
This skill provides procedural knowledge for fine-tuning Large Language Models (both Open Models and Gemini Models) using Agent Platform's tuning service. It covers the entire lifecycle from environment setup and data preparation to job configuration, monitoring, and deployment.
Workflow Decision Tree
-
Project & Region Verification Check: Has the user provided the Google Cloud project and region?
- No → STOP tool execution immediately. Do NOT run verification
commands (
gcloud services list,gcloud projects get-iam-policy), do NOT create resources, and do NOT begin dataset preparation. Prompt the user to specify or confirm the project and region (e.g. "Could you please specify which Google Cloud project and region you would like to use?").- If the user's inquiry is solely to check or verify environment readiness (APIs, IAM, service agents), ask ONLY for the project and region. Do NOT ask for the model category.
- If the user is requesting a tuning workflow and also omitted whether they want to tune an Open Model or a Gemini Model, you may ask both questions together.
- Yes → Proceed.
- No → STOP tool execution immediately. Do NOT run verification
commands (
-
Model Category Identification: Has the user explicitly stated whether they want to tune an Open Model or a Gemini Model?
