Vertex AI · For developers

Check Kiln's fine-tunable model list for deprecated or unsupported base models.

Kiln-AI/Kiln

Evaluate and improve GenAI models and agents using the Google GenAI Evaluation SDK.

GoogleCloudPlatform/vertex-ai-samples

Run the Antigravity CLI (Gemini) as a collaborating AI inside Claude Code, with intelligent model routing across the software development lifecycle.

yuting0624/antigravity-for-claude-code

This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or…

pifferologo/cloud-agents-cli

Generates a LiveAPI client service class in the user's chosen programming language.

GoogleCloudPlatform/vertex-ai-samples

Add new LLM model pricing entries to Litefuse's default-model-prices.json.

litefuse/litefuse

Generates a minimal tests/test_runnability.py for a Python agent recipe that imports the agent module and checks root_agent, adding only the mocks and env vars it needs.

google/adk-recipes

Spins up a local Omnigent server and exercises the Antigravity (Gemini) SDK harness end to end: building agents, running real turns, smoke tests and bug-bashing.

omnigent-ai/omnigent

A skill your agent uses when generating or editing images from Flutter/Dart with Firebase AI Logic and a Gemini image model (Nano Banana), making the first call work, choosing Gemini Developer API…

evanca/flutter-ai-rules

Primary Router for Vertex AI skills. An agent skill from GoogleCloudPlatform/vertex-ai-samples.

GoogleCloudPlatform/vertex-ai-samples

Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP.

secondsky/sap-skills

Generate and transform images using AI Gateway API. An agent skill from happycapy-ai/Happycapy-skills.

happycapy-ai/Happycapy-skills

Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts.

cnemri/google-genai-skills

A skill your agent uses when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform.

google/skills

Diagnoses and resolves Filestore client mount failures on Google Cloud, permission errors (EACCES), and network timeouts (ETIMEDOUT).

google/skills

Expert guidance for writing Python code using the official Google GenAI SDK (google-genai) for Gemini API and Vertex AI.

cnemri/google-genai-skills

Implement applications using Google Cloud Platform (GCP) services.

ancoleman/ai-design-components

Guides the usage of Gemini API on Google Cloud Vertex AI with the Gen AI SDK.

JetBrains/skills

Execute automatic activation for all google vertex ai multimodal operations operations.

jeremylongshore/tons-of-skills-marketplace

Use Neo4j GenAI Plugin ai.text. An agent skill from neo4j-contrib/neo4j-skills.

neo4j-contrib/neo4j-skills

Deploy and orchestrate Vertex AI ADK agents using A2A protocol.

jeremylongshore/tons-of-skills-marketplace

Execute use when provisioning Vertex AI ADK infrastructure with Terraform.

jeremylongshore/tons-of-skills-marketplace

Execute firebase platform expert with Vertex AI Gemini integration for Authentication, Firestore, Storage, Functions, Hosting, and AI-powered features.

jeremylongshore/tons-of-skills-marketplace

Generate production-ready Google Cloud code examples from official repositories including ADK samples, Genkit templates, Vertex AI notebooks, and Gemini patterns.

jeremylongshore/tons-of-skills-marketplace

Validate use when validating GitHub Actions workflows for Google Cloud and Vertex AI deployments.

jeremylongshore/tons-of-skills-marketplace

Validate production readiness of Vertex AI Agent Engine deployments across security, monitoring, performance, compliance, and best practices.

jeremylongshore/tons-of-skills-marketplace

Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture.

jeremylongshore/tons-of-skills-marketplace

Execute use when provisioning Vertex AI infrastructure with Terraform.

jeremylongshore/tons-of-skills-marketplace

Best practices for building AI agents with Google's Agent Development Kit (ADK) in Python, covering agent design, tools, sessions, memory, artifacts, evaluation, and deployment.

Mindrally/skills

Scaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional…

jeremylongshore/tons-of-skills-marketplace

Build and deploy generative AI agents on Vertex AI: Gemini model selection, RAG with grounded retrieval, function calling, multimodal extraction, evaluation, and Agent Engine deployment with…

jeremylongshore/tons-of-skills-marketplace

Add embeddings to Unstructured elements with provider-specific encoders, credential-safe configuration, and metadata-preserving enrichment checks.

VectorSpaceLab/AREX-Skill