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Mamba Selective State Models

mamba-architecture

Orchestra-Research/AI-Research-SKILLs

Mamba provides selective state-space models with O(n) inference complexity, letting you handle million-token sequences faster than transformers while skipping KV caches and benefiting from a hardware-aware design. Use it for long-context language modeling, streaming applications, and scalable low-memory sequence learners.

Mistral Embeddings Function Workflow

mistral-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Guides running Mistral AI secondary workflows for embeddings and function calling, covering semantic search, RAG pipelines, and tool-augmented chats.

Mistral Privacy Guard

mistral-data-handling

jeremylongshore/claude-code-plugins-plus-skills

Guides developers through building Mistral AI integrations that sanitize PII, enforce retention policies, and log audit trails so API calls, fine-tuning data, and conversation history stay compliant with GDPR/CCPA.

Mistral SDK Auth Setup

mistral-install-auth

jeremylongshore/claude-code-plugins-plus-skills

Guide for installing the Mistral SDK/CLI, setting up API keys via environment variables or dotenv, and verifying connectivity across Node.js and Python so integrations can securely consume chat, embedding, and function-calling endpoints.

Mistral SDK Patterns

mistral-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

Provides production-ready Mistral SDK practices for TypeScript and Python, covering client initialization, chat completions, streaming, tool calling, embeddings, and error handling for integration projects.

Mistral Async Event Patterns

mistral-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

Provides event-driven chat handling, background job queuing, and webhook notifications for Mistral AI integrations, enabling async workflows like long-running chats, queue-based workers, and callback triggers.

Production ML Engineering Playbook

sickn33/antigravity-awesome-skills

Guides ML engineers in building production-ready systems with PyTorch 2.x, TensorFlow, and modern tooling, covering serving pipelines, feature engineering, monitoring, and MLOps infrastructure for scalable, reliable deployments.

Modern MLOps Engineering Guide

sickn33/antigravity-awesome-skills

A comprehensive MLOps engineer skill that covers building scalable ML infrastructure, pipelines, experiment tracking, registries, and cloud-native deployments across AWS, Azure, and GCP with best practices for reliable automation.

Modal Serverless GPU

modal-serverless-gpu

Orchestra-Research/AI-Research-SKILLs

Modal's serverless GPU cloud platform lets teams run ML training, inference, and batch jobs with pay-per-second pricing, automatic scaling, Python-native infra definitions, fast cold starts, and container caching.

MoE Training Guide

Orchestra-Research/AI-Research-SKILLs

Guide to training Mixture of Experts models with DeepSpeed or HuggingFace for large-scale sparse architectures like Mixtral 8x7B, focusing on routing, load balancing, and cost-efficient scaling.

More Trees Automation Toolkit

more-trees-automation

ComposioHQ/awesome-claude-skills

Automate More Trees operations via the Rube MCP and Composio toolkit by discovering current tool schemas, managing the More Trees connection, and executing compliant workflows through the recommended execute/multi-execute calls.

GPU Curated Training Data

Orchestra-Research/AI-Research-SKILLs

NeMo Curator runs GPU-accelerated data curation for LLM training, covering text, image, video, and audio pipelines with fuzzy/semantic deduplication, quality classifiers, and PII/NSFW filters before scaling across RAPIDS clusters.

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