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Pandas Pro Workflow

Jeffallan/claude-skills

Expert pandas helper for efficient DataFrame analysis, cleaning, merging, grouping, resampling, and pivoting with vectorized operations, dtype tuning, memory checks, and validation.

RAG Engineer

sickn33/antigravity-awesome-skills

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications. Use when: building RAG, ...

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.

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

GeoPandas Spatial Toolkit

K-Dense-AI/claude-scientific-skills

GeoPandas extends pandas with spatial vector data handling, letting teams read/write shapefiles, GeoJSON, GeoPackage and PostGIS, run reprojections, joins, overlays, buffering, and mapping alongside matplotlib/folium/Cartopy.

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