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AI & LLM Engineering · Vertex AI · For developers
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 | 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 |
| 5 | 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 |
| 6 | 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 |
| 7 | 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 | 6 days ago |
| 8 | 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 |
| 9 | 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 |
| 10 | 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 |
| 11 | Use Neo4j GenAI Plugin ai.text. An agent skill from neo4j-contrib/neo4j-skills. | neo4j-contrib/ | 114 | — | ~3k | Automated safety check: Notes | MIT | yesterday |
| 12 | 12.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 |
| 13 | 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 |
| 14 | 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 |
| 15 | 15.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 |