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Pinecone Managed Vector Database

Orchestra-Research/AI-Research-SKILLs

Fully managed, auto-scaling vector database tailored for production AI workloads such as RAG, recommendations, and semantic search, offering hybrid dense+sparse search, namespaces, metadata filters, and <100ms latency on serverless infrastructure.

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.

Ray Data Processing

Orchestra-Research/AI-Research-SKILLs

Ray Data offers scalable distributed data processing for ML workloads, streaming across CPU/GPU clusters and integrating with PyTorch, TensorFlow, and Ray Train. Use it for batch inference, ETL, and multi-modal preprocessing from a laptop up to hundreds of nodes.

Ray Train Orchestration

Orchestra-Research/AI-Research-SKILLs

Ray Train orchestrates distributed PyTorch, TensorFlow, and HuggingFace workloads from laptops to clusters, automating GPU placement, fault tolerance, checkpointing, and hyperparameter sweeps so teams can scale massive model training with minimal code changes.

Reminder System Creator

reminder-system-creator

jeremylongshore/claude-code-plugins-plus-skills

Automates reminder system creation within business automation by guiding through workflows, email, spreadsheet, and process optimization best practices, producing ready-to-use configurations and verified outputs.

Replit Load Testing and Scaling Guide

replit-load-scale

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide provides detailed steps for load testing and capacity planning of Replit deployments. Learn how to benchmark performance using industry tools like k6 and autocannon, optimize Autoscale behavior, right-size Reserved VMs, and manage database connection pools. It covers optimizing cold start times and ensuring high availability under variable and peak traffic loads.

Automated Report Generator

report-generator

jeremylongshore/claude-code-plugins-plus-skills

Auto-activating skill that guides business automation tasks around report generators, advising on workflows, email handling, spreadsheets, and production-ready code while validating outputs against industry standards.

Sentence Embedding Framework

sentence-transformers

Orchestra-Research/AI-Research-SKILLs

Sentence Transformers provides 5000+ pre-trained models that generate sentence, text, and image embeddings for RAG, semantic search, clustering, and multilingual production workloads without relying on external APIs.

Slack Bot Creator Helper

slack-bot-creator

jeremylongshore/claude-code-plugins-plus-skills

Assists in business automation by guiding users through slack bot creator tasks, offering best practices, auto-generated code, and validation for workflows, email, and spreadsheet processes.

Swift 6.2 Structured Concurrency Patterns

swift-concurrency-6-2

affaan-m/everything-claude-code

A guide to the Swift 6.2 concurrency model, which mandates default single-threaded execution to eliminate accidental data races. Learn how to use MainActor for isolated consistency and utilize the @concurrent attribute for explicitly offloading CPU-intensive tasks to background threads, ensuring safe and predictable application architecture.

Teams Webhook Sender

teams-webhook-sender

jeremylongshore/claude-code-plugins-plus-skills

Automated guidance for Teams Webhook Sender scenarios within business automation, offering best-practice patterns, ready-to-use configurations, and validation steps for workflow, email, spreadsheet, and process optimization tasks.

Vast.ai GPU Workload Management

vastai-hello-world

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide demonstrating the full lifecycle of GPU resource utilization on Vast.ai. This includes searching for available hardware using CLI and REST APIs, provisioning a dedicated GPU instance (e.g., using PyTorch images), connecting via SSH, running deep learning workloads, and finally, securely destroying the instance to stop billing. Ideal for testing cloud integration or managing ML compute pipelines.

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