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Mistral Environment Setup

mistral-multi-env-setup

jeremylongshore/claude-code-plugins-plus-skills

Defines how to configure Mistral AI per development, staging, and production environments, covering base configs, overrides, environment detection, and secret-management approaches for deployments.

Mistral Observability Stack

mistral-observability

jeremylongshore/claude-code-plugins-plus-skills

Instrument Mistral AI clients, expose Prometheus metrics, configure alerts, and build Grafana dashboards to keep API usage, latency, cost, and errors in check.

Mistral Performance Tuning

mistral-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides teams on reducing latency and improving throughput when integrating Mistral AI by selecting low-latency models, enabling streaming, caching deterministic requests, trimming prompts, and managing request concurrency.

Mistral Security Basics

mistral-security-basics

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through securing Mistral AI integrations by managing API keys, sanitizing prompts and outputs, logging safely, and rotating secrets to reduce exposure when deploying LLM workloads.

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.

Mixed Precision Trainer

mixed-precision-trainer

jeremylongshore/claude-code-plugins-plus-skills

Automates mixed precision ML training workflows by surfacing best practices, generating runnable code/configurations, and validating setups across data prep, model tuning, and experiment tracking.

Mlflow Tracking Setup

mlflow-tracking-setup

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for configuring mlflow experiment tracking, covering best practices, code generation, and validation to support ML training workflows.

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.

Model Checkpoint Manager

model-checkpoint-manager

jeremylongshore/claude-code-plugins-plus-skills

Automated guidance for managing model checkpoints in ML training workflows, offering best practices, sample code, and validation to keep experiments stable and reproducible.

Model Explainability Assistant

model-explainability-tool

jeremylongshore/claude-code-plugins-plus-skills

Automated guidance for model explainability tooling within ML training workflows, giving step-by-step best practices, production-ready code, and validation for experiments whenever users mention explainability tool needs.

Model Export Helper

model-export-helper

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for model export helper tasks across ML deployment, delivering step-by-step best practices, production-ready code/configuration, and validation against common standards.

Model Merging Techniques

Orchestra-Research/AI-Research-SKILLs

Utilize Mergekit to merge multiple fine-tuned models via SLERP, TIES, DARE, Task Arithmetic, and linear merging; perfect for preserving diverse domain skills, improving benchmark performance, and experimenting with new combinations without retraining.

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