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LibreOffice Draw

sickn33/antigravity-awesome-skills

Vector graphics and diagram creation, format conversion (ODG/SVG/PDF) with LibreOffice Draw.

FAISS Similarity Search

Orchestra-Research/AI-Research-SKILLs

FAISS is Facebook AI’s high-speed similarity search library for billion-scale dense vectors, offering multiple index types plus GPU acceleration to support latency-sensitive k-NN retrieval without metadata filtering.

Hybrid Search Implementation

hybrid-search-implementation

sickn33/antigravity-awesome-skills

Implement hybrid search that merges semantic vector similarity with precise keyword matching to improve recall for RAG systems, search engines, and domain-specific queries when pure vector search misses exact terms.

LangChain Agent Framework

Orchestra-Research/AI-Research-SKILLs

LangChain is a framework for building LLM-powered agents, chains, and RAG workflows with multi-provider support, vector stores, memory, and observability, ideal for rapid prototyping and production chatbots or question-answering systems.

Linux Escalation Toolkit

linux-privilege-escalation

sickn33/antigravity-awesome-skills

Systematically enumerate and exploit Linux privilege escalation vectors—including kernel flaws, sudo misconfigurations, SUID binaries, cron jobs, PATH hijacks, and automated scripts—to elevate low-privilege shells to root access and document findings.

LlamaIndex Data Framework

Orchestra-Research/AI-Research-SKILLs

LlamaIndex is a data framework that connects LLMs with documents via ingestion, indexing, and querying for RAG, chatbots, and knowledge retrieval, offering connectors, vector indices, query engines, and agents.

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.

Pinecone Managed Vector DB

Orchestra-Research/AI-Research-SKILLs

Pinecone provides a fully managed, auto-scaling vector database with hybrid search, metadata filtering, and namespace isolation for low-latency production RAG, recommendation, and semantic search workloads.

Qdrant Vector Search

qdrant-vector-search

Orchestra-Research/AI-Research-SKILLs

High-performance Rust-based vector similarity engine for production RAG and semantic search, enabling hybrid filtering, multi-vector storage, distributed scaling, and REST/gRPC access for low-latency recommendations and retrieval.

RAG System Architect

Jeffallan/claude-skills

Guides architects in building production-grade retrieval-augmented generation systems via document chunking, embedding generation, vector store setup, hybrid search, reranking, and evaluation for knowledge-backed AI services.

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.

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