Machine learning

Drive a locally built server with a real client: the Inspector CLI (scripted), the Inspector web UI (by hand) and an LLM client.

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub.

Pick the right serving container for a SageMaker model deployment and find its current image URI.

Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity…

Use ElevenLabs Realtime models (`eleven_realtime_v1_mini`, `eleven_realtime_v1_max`), the low-latency models built for voice conversation.

Overview of Neon, a complete set of cloud backend primitives around Lakebase Postgres: Auth, Object Storage, Functions, the AI Gateway, and Realtime.

Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by…

One API and one credential for frontier and open-source LLMs and embedding models, built into your Neon branch and powered by Databricks.

Use Netlify AI Gateway to call OpenAI, Anthropic Claude, Google Gemini, TypeSafe (Jev), or OpenRouter-hosted models (xAI/DeepSeek/Meta/Mistral/Qwen) from…

Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet…

Attach judges to config variations for automatic LLM-as-a-judge evaluation.

Stands up an Apigee API proxy that a Google Cloud Agent Gateway calls as an ext-proc (Service Extension) callout on an agent's LLM traffic, to meter token…

Implement, configure, and secure Sign In With Google (SiwG) using Google Identity Services (GIS / `https://accounts.google.com/gsi/client`) across web…

Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm.

Package and build custom AI models with Cog for deployment on Replicate.

Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github…

Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript.

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help.

Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama…

Secret safety for AWS Secrets Manager, secret management, credentials, API keys, tokens, and passwords.

Answer questions about the AI SDK and help build AI-powered features.

Review a proposed Agent Skill for structural validity and content quality before publishing.

Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents.