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Vertex AI
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Check Kiln's fine-tunable model list for deprecated or unsupported base models. | Kiln-AI/ | 5.2k | — | ~1.9k | Automated safety check: Notes | Unknown | yesterday |
| 2 | Evaluate and improve GenAI models and agents using the Google GenAI Evaluation SDK. | GoogleCloudPlatform/ | 792 | — | ~2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | Run the Antigravity CLI (Gemini) as a collaborating AI inside Claude Code, with intelligent model routing across the software development lifecycle. | yuting0624/ | 375 | — | ~9.1k | Automated safety check: Pass | MIT | 6 days ago |
| 4 | 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/ | 129 | 1 repo | ~2.9k | Automated safety check: Notes | Apache-2.0 | 1 mo ago |
| 5 | Writes Terraform alerting policies for AI agents that emit OpenTelemetry metrics, covering reliability, cost, safety, security and quality signals on Google Cloud. | google/ | 21k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 6 | Generates a LiveAPI client service class in the user's chosen programming language. | GoogleCloudPlatform/ | 792 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 7 | Add new LLM model pricing entries to Litefuse's default-model-prices.json. | litefuse/ | 101 | — | ~3.6k | Automated safety check: Pass | Unknown | 2 days ago |
| 8 | 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/ | 10k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 9 | 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/ | 11k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | today |
| 10 | 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/ | 651 | — | ~2.3k | Automated safety check: Pass | MIT | today |
| 11 | 11.Vertex AI Primary Router for Vertex AI skills. An agent skill from GoogleCloudPlatform/vertex-ai-samples. | GoogleCloudPlatform/ | 792 | — | ~522 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 12 | Review AI API key leakage patterns and redaction strategies. | IgorWarzocha/ | 122 | — | ~793 | Automated safety check: Notes | No licence | 8 mo ago |
| 13 | 13.Sap AI Core Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. | secondsky/ | 462 | — | ~3.3k | Automated safety check: Pass | GPL-3.0 | 5 days ago |
| 14 | Generate and transform images using AI Gateway API. An agent skill from happycapy-ai/Happycapy-skills. | happycapy-ai/ | 137 | — | ~2k | Automated safety check: Notes | MIT | 1 mo ago |
| 15 | Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts. | cnemri/ | 127 | — | ~587 | Automated safety check: Pass | MIT | 8 mo ago |
| 16 | Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. | github/ | 40k | 1 repo | ~2.6k | Automated safety check: Notes | MIT | 2 days ago |
| 17 | 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/ | 21k | 1 repo | ~2.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 18 | Diagnoses and resolves Filestore client mount failures on Google Cloud, permission errors (EACCES), and network timeouts (ETIMEDOUT). | google/ | 21k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 19 | Expert guidance for writing Python code using the official Google GenAI SDK (google-genai) for Gemini API and Vertex AI. | cnemri/ | 127 | — | ~422 | Automated safety check: Pass | MIT | 8 mo ago |
| 20 | Implement applications using Google Cloud Platform (GCP) services. | ancoleman/ | 525 | — | ~3.9k | Automated safety check: Pass | MIT | 10 mo ago |
| 21 | Guides the usage of Gemini API on Google Cloud Vertex AI with the Gen AI SDK. | JetBrains/ | 366 | 1 repo | ~2.4k | Automated safety check: Pass | No licence | 3 mo ago |
| 22 | Execute automatic activation for all google vertex ai multimodal operations operations. | jeremylongshore/ | 2.8k | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 23 | Use Neo4j GenAI Plugin ai.text. An agent skill from neo4j-contrib/neo4j-skills. | neo4j-contrib/ | 114 | — | ~3k | Automated safety check: Notes | MIT | yesterday |
| 24 | Deploy and orchestrate Vertex AI ADK agents using A2A protocol. | jeremylongshore/ | 2.8k | — | ~684 | Automated safety check: Pass | MIT | yesterday |
| 25 | Execute use when provisioning Vertex AI ADK infrastructure with Terraform. | jeremylongshore/ | 2.8k | — | ~707 | Automated safety check: Pass | MIT | yesterday |
| 26 | Execute firebase platform expert with Vertex AI Gemini integration for Authentication, Firestore, Storage, Functions, Hosting, and AI-powered features. | jeremylongshore/ | 2.8k | — | ~831 | Automated safety check: Pass | MIT | yesterday |
| 27 | Generate production-ready Google Cloud code examples from official repositories including ADK samples, Genkit templates, Vertex AI notebooks, and Gemini patterns. | jeremylongshore/ | 2.8k | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 28 | Validate use when validating GitHub Actions workflows for Google Cloud and Vertex AI deployments. | jeremylongshore/ | 2.8k | — | ~713 | Automated safety check: Pass | MIT | yesterday |
| 29 | Validate production readiness of Vertex AI Agent Engine deployments across security, monitoring, performance, compliance, and best practices. | jeremylongshore/ | 2.8k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 30 | Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture. | jeremylongshore/ | 2.8k | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 31 | Execute use when provisioning Vertex AI infrastructure with Terraform. | jeremylongshore/ | 2.8k | — | ~709 | Automated safety check: Pass | MIT | yesterday |
| 32 | 32.Google Adk 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/ | 271 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 33 | 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/ | 2.8k | — | ~960 | Automated safety check: Pass | MIT | yesterday |
| 34 | 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/ | 2.8k | — | ~898 | Automated safety check: Pass | MIT | yesterday |
| 35 | Deploy vertex ai deployer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~558 | Automated safety check: Pass | MIT | yesterday |
| 36 | Configure vertex ai endpoint config operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~565 | Automated safety check: Pass | MIT | yesterday |
| 37 | Create vertex ai pipeline creator operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~573 | Automated safety check: Pass | MIT | yesterday |
| 38 | 38.Embeddings Add embeddings to Unstructured elements with provider-specific encoders, credential-safe configuration, and metadata-preserving enrichment checks. | VectorSpaceLab/ | 331 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |