vertex-ai
Skill795 starsChanged 6 months agoApache-2.0View on GitHub
Primary Router for Vertex AI skills. Use this skill when the user wants to work with Google Cloud Vertex AI (e.g., deploying models, running inference, or tuning models). This skill routes to vertex-deploy, vertex-inference, or vertex-tuning.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- tvaroska/skillstheir own version, first seen Dec 28, 2025
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- tvaroska/skills★ 4same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository8 other files it gives its agents.
- liveapi-serviceSkill
- genai-sdkSkill
- quality-flywheelSkill
- vertex-deploySkill
- vertex-inferenceSkill
- geminiSkill
- open-modelSkill
- vertex-tuningSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 2 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 22
Deploy Models: If the user wants to deploy an Open Model from Model Garden or deploy custom weights to create a Vertex AI Endpoint, stop …
- Distinctive: line 23
Run Inference (Text Generation, Chat, Embeddings): If the user wants to connect to Vertex AI to generate text, chat, or get embeddings …
- Very specific: line 24
Model Tuning / Fine-Tuning: If the user wants to fine-tune an Open Model or a Gemini Model, stop reading this file and IMMEDIATELY read the …
- Distinctive: line 26
Unknown / Not Listed: If the objective is not clearly one of the above, STOP.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Vertex AI Skills (Primary Router)
Overview
This skill acts as the primary router for all Vertex AI related tasks. Google Cloud Vertex AI provides capabilities for deploying open models, running inference against Generative AI models (like Gemini and open models), and fine-tuning models.
Your first step is to determine the user's main objective and then read the appropriate sub-skill.
Workflow Decision Tree
Objective Category: What does the user want to do with Vertex AI?
- Use Gemini SDK (Gen AI SDK): If the user explicitly asks about using the Gemini API on Vertex AI with the Gen AI SDK, or asks for features like Live API, multimedia generation, caching, or batch prediction, stop reading this file and IMMEDIATELY read the skill instructions located at
../genai-sdk/SKILL.md. - Deploy Models: If the user wants to deploy an Open Model from Model Garden or deploy custom weights to create a Vertex AI Endpoint, stop reading this file and IMMEDIATELY read the skill instructions located at
../vertex-deploy/SKILL.md. - Run Inference (Text Generation, Chat, Embeddings): If the user wants to connect to Vertex AI to generate text, chat, or get embeddings using models like Gemini, Llama, DeepSeek, etc., stop reading this file and IMMEDIATELY read the skill instructions located at
../vertex-inference/SKILL.md. - Model Tuning / Fine-Tuning: If the user wants to fine-tune an Open Model or a Gemini Model, stop reading this file and IMMEDIATELY read the skill instructions located at
../vertex-tuning/SKILL.md. - Unknown / Not Listed: If the objective is not clearly one of the above, STOP. Ask the user to clarify whether they are looking to deploy a model, run inference, or tune a model on Vertex AI.
- Use Gemini SDK (Gen AI SDK): If the user explicitly asks about using the Gemini API on Vertex AI with the Gen AI SDK, or asks for features like Live API, multimedia generation, caching, or batch prediction, stop reading this file and IMMEDIATELY read the skill instructions located at
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- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

