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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.

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.

Ray Data Processing

Orchestra-Research/AI-Research-SKILLs

Ray Data is a scalable distributed data processing library for ML workloads, streaming execution across CPU/GPU, integrates with Ray Train, PyTorch, TensorFlow, and handles Parquet/CSV/JSON/images for preprocessing, ETL, or batch inference from single node to cluster.

Ray Train Distributed Orchestration

Orchestra-Research/AI-Research-SKILLs

Ray Train orchestrates distributed PyTorch/TensorFlow/HuggingFace training from laptops to thousands of nodes, adding elastic scaling, hyperparameter search, and fault tolerance while keeping most code unchanged.

Replicate Model Automation

replicate-automation

ComposioHQ/awesome-claude-skills

Automate Replicate AI workflows via the Composio MCP integration to inspect model schemas, run predictions (sync or async), upload input files, list versions, and manage prediction history and related assets.

RetellAI Architecture Blueprints

retellai-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

Guides selecting and implementing Retell AI architecture blueprints from single webhook servers to event-driven voice pipelines, helping teams match scale, latency budgets, and state management when building or migrating voice agent integrations.

Retellai Automation Protocol

retellai-automation

ComposioHQ/awesome-claude-skills

Automates Retellai workflows through Composio's Rube MCP toolkit, guiding tool discovery, connection checks, schema-compliant invocation, and memory/session handling via the RUBE search/manage/execute calls.

Retell AI Secondary Workflow

retellai-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Executes Retell AI Core Workflow B as a secondary flow that complements the main process, handling setup, processing, completion, and API responses for automation or integration scenarios.

Retell AI Cost Tuning

retellai-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through analyzing Retell AI billing, tuning call durations, choosing cheaper voice models, and monitoring usage so they can reduce minute-based voice-agent costs and set budget alerts.

Retell AI Data Handling

retellai-data-handling

jeremylongshore/claude-code-plugins-plus-skills

Guides configuring Retell AI to manage sensitive voice data with consent prompts, PII redaction, retention policies, and webhook filtering for GDPR/CCPA compliance.

RetellAI Auth Setup

retellai-install-auth

jeremylongshore/claude-code-plugins-plus-skills

Guides installing the Retell AI SDK/CLI, configuring API keys, and verifying the authenticated connection so new integrations can securely call Retell AI services.

Retell AI Pitfall Guide

retellai-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

Guidance for spotting Retell AI anti-patterns, avoiding latency, concurrency, audio quality, and webhook pitfalls while reviewing or onboarding voice agent integrations.

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