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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.

Realtime Audio Narration

podcast-generation

sickn33/antigravity-awesome-skills

Use Azure OpenAI Realtime Mini to turn text prompts into streamed PCM audio, convert it to WAV, and deliver base64 payloads for frontend playback, handling transcripts and voice tuning for podcast-style narration.

Prediction Monitor Assistant

prediction-monitor

jeremylongshore/claude-code-plugins-plus-skills

Prediction Monitor Assistant automates machine learning deployment monitoring tasks, offering step-by-step guidance, best-practice patterns, production-ready code and configuration generation, and validation to keep serving and inference workflows reliable.

Computer Vision Processing

processing-computer-vision-tasks

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to invoke the computer-vision-processor plugin, auto-generating Python calls to run object detection, classification, and segmentation on user-provided images for detailed analysis.

LLM Prompt Caching

sickn33/antigravity-awesome-skills

Designs multi-tier prompt caching that cuts LLM costs by up to 90% through prefix, full-response, and semantic similarity caching, while emphasizing sensible invalidation to keep stored outputs accurate for production workloads.

LLM Prompt Engineering

prompt-engineer

Jeffallan/claude-skills

Designs, refines, and evaluates prompts for LLM workflows, covering zero/few-shot, chain-of-thought, system personas, structured outputs, and testable evaluation suites to boost accuracy and efficiency.

Prompt Engineering Patterns

prompt-engineering

rohitg00/awesome-claude-code-toolkit

Document describes structured prompts, chain-of-thought guidance, few-shot examples, system prompt design, and tooling advice for building reliable prompt engineering workflows in LLM-augmented products.

Advanced Prompt Engineering Patterns

prompt-engineering-patterns

sickn33/antigravity-awesome-skills

Guides prompt engineers through advanced patterns for maximizing LLM reliability and controllability, covering few-shot selection, chain-of-thought, templates, system prompts, and validation workflows for production-grade applications.

Prompt Guard Detector

Orchestra-Research/AI-Research-SKILLs

Meta’s Prompt Guard is an 86M-parameter classifier that spots prompt injections and jailbreak attempts before they reach LLMs, filtering user input, third-party data, or RAG documents with multilingual support and sub-2ms latency for fast deployments.

Pytorch Model Trainer

pytorch-model-trainer

jeremylongshore/claude-code-plugins-plus-skills

Automates PyTorch training workflows by guiding data preparation, model configuration, hyperparameter tuning, and experiment tracking while following industry best practices for production readiness.

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.

LLM Quantization Toolkit

quantizing-models-bitsandbytes

Orchestra-Research/AI-Research-SKILLs

Quantizes LLMs to 8-bit or 4-bit to cut memory by 50-75%, letting inference and QLoRA fine-tuning run on constrained GPUs while keeping accuracy high; supports Bitsandbytes, NF4/INT8 formats, 8-bit optimizers, and HuggingFace Transformers.

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