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Azure OpenAI .NET SDK

azure-ai-openai-dotnet

sickn33/antigravity-awesome-skills

Provides the Azure.AI.OpenAI .NET client library for Azure OpenAI and OpenAI services so developers can build chatbots, embeddings workflows, image/audio pipelines, and assistants with installation, auth, chat patterns, structured outputs, and reasoning guidance.

Mistral Embeddings Workflow

mistral-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Guides running Mistral AI secondary workflows that produce semantic embeddings, batch indexing, cosine-similarity search, and function-calling tool loops for RAG or tool-augmented chat interactions.

Mistral Auth Setup

mistral-install-auth

jeremylongshore/claude-code-plugins-plus-skills

Guides installing the Mistral AI SDK for Node.js and Python, wiring the API key via environment variables, and verifying connectivity so new integrations can request chat completions, embeddings, and function calls securely.

OpenAI Automation Toolkit

openai-automation

ComposioHQ/awesome-claude-skills

Automate OpenAI API workflows through the Composio MCP integration, covering text and multimodal responses with structured outputs, embeddings, image generation, and model discovery.

Sentence Embeddings Toolkit

sentence-transformers

Orchestra-Research/AI-Research-SKILLs

Sentence Transformers delivers production-ready sentence, text, and image embeddings with 5000+ pretrained models, enabling semantic search, clustering, RAG, and multilingual/multimodal inference without API dependence.

TensorBoard Visualization Toolkit

Orchestra-Research/AI-Research-SKILLs

TensorBoard uncovers training metrics, model graphs, and performance profiling for PyTorch/TensorFlow projects. Use it to compare experiments, track embeddings, visualize data, and debug training runs via a browser UI.

Cellxgene Census API

cellxgene-census

K-Dense-AI/claude-scientific-skills

Programmatically query the 61M+ CELLxGENE Census atlas to access curated single-cell expression matrices, metadata, and embeddings for tissue, disease, and cell type exploration or ML-ready datasets.

Protein Language Modeling Suite

K-Dense-AI/claude-scientific-skills

Toolkit for ESM protein language models providing generative design, structure prediction, embeddings, function conditioning, and Forge-powered batch inference for protein engineering and representation tasks.

Genomic Interval ML

K-Dense-AI/claude-scientific-skills

Geniml is a Python toolkit for applying machine learning to genomic interval data (BED/scATAC-seq), offering region and metadata embeddings, universe-building, and utilities for downstream similarity search, clustering, and evaluation.

Molecular Featurization Hub

K-Dense-AI/claude-scientific-skills

Molfeat is a Python hub for turning SMILES or RDKit molecules into 100+ featurizers and pretrained embeddings, powering QSAR, screening, similarity, and deep learning workflows with transformers, calculators, caching, and parallel processing.

UMAP Manifold Reduction

K-Dense-AI/claude-scientific-skills

UMAP-Learn delivers fast nonlinear dimensionality reduction for visualization, clustering prep, and feature engineering; it mirrors scikit-learn APIs and supports supervised/semi-supervised embeddings with tunable parameters.

Umap Visualization Tool

sickn33/antigravity-awesome-skills

Umap provides uniform manifold approximation for dimension reduction and visualization, helping data scientists explore high-dimensional embeddings through interpretable 2D/3D layouts.

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