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RAG Implementation Workflow

rag-implementation

sickn33/antigravity-awesome-skills

RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval optimization.

Snowflake Data Automation

snowflake-automation

ComposioHQ/awesome-claude-skills

Automates Snowflake data warehouse workflows via the Composio MCP, letting you list databases, schemas, and tables, run SQL (SELECT, DDL, DML), and integrate those operations into cross-app pipelines for faster data ops.

Vector Database Engineer

vector-database-engineer

sickn33/antigravity-awesome-skills

Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar

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.

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.

Plotly Interactive Dashboards

sickn33/antigravity-awesome-skills

Plotly enables Python users to build interactive, publication-quality charts with hover, zoom, and embedded dashboards; ideal for exploratory analysis, presentations, or web storytelling across 40+ chart types.

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