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AI & LLM Engineering · Vertex AI · For developers

15 skills found.
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1

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

Kiln-AI/Kiln5.2k—~1.9kAutomated safety check: NotesUnknownyesterday
2

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

GoogleCloudPlatform/vertex-ai-samples792—~2kAutomated safety check: PassApache-2.0yesterday
3

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-code375—~9.1kAutomated safety check: PassMIT6 days ago
4

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

litefuse/litefuse101—~3.6kAutomated safety check: PassUnknown2 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/omnigent11k—~2.7kAutomated safety check: PassApache-2.0today
6

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

GoogleCloudPlatform/vertex-ai-samples792—~522Automated safety check: PassApache-2.0yesterday
7

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

secondsky/sap-skills462—~3.3kAutomated safety check: PassGPL-3.06 days ago
8
8.Gemini APIOfficial

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/skills21k1 repo~2.6kAutomated safety check: PassApache-2.0yesterday
9

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

cnemri/google-genai-skills127—~422Automated safety check: PassMIT8 mo ago
10

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

JetBrains/skills3661 repo~2.4kAutomated safety check: PassNo licence3 mo ago
11

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

neo4j-contrib/neo4j-skills114—~3kAutomated safety check: NotesMITyesterday
12

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/skills271—~2.5kAutomated safety check: PassApache-2.02 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/tons-of-skills-marketplace2.8k—~960Automated safety check: PassMITyesterday
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/tons-of-skills-marketplace2.8k—~898Automated safety check: PassMITyesterday
15

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

VectorSpaceLab/AREX-Skill331—~1.4kAutomated safety check: PassApache-2.01 mo ago