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Hyperparameter Tuner Assistant

hyperparameter-tuner

jeremylongshore/claude-code-plugins-plus-skills

Automated guidance for hyperparameter tuning within ML training workflows, offering best practices, production-ready code, and validation across modeling stages like data prep, training, and experiment tracking.

Klingai Style Transfer

klingai-style-transfer

jeremylongshore/claude-code-plugins-plus-skills

Applies artistic styles and visual effects to Kling AI video generation, letting creators match brand aesthetics or explore experimental looks by describing target aesthetics, supplying reference images, and iterating prompts for refined stylized videos.

Modular Fuzzing Library

trailofbits/skills

LibAFL is a modular fuzzing library in Rust that exposes advanced mutators, feedback, objectives, and schedulers so you can build bespoke fuzzers or use it as a drop-in replacement for libFuzzer when targeting non-standard architectures or research experiments.

Mistral Chat Quickstart Guide

mistral-hello-world

jeremylongshore/claude-code-plugins-plus-skills

Provides a minimal Mistral AI chat completion example in TypeScript and Python for bootstrapping a new integration, validating your setup, and experimenting with streaming responses.

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.

Production ML Pipeline

Jeffallan/claude-skills

Implements production-grade ML pipeline infrastructure that wires experiment tracking (MLflow/W&B), Kubeflow or Airflow DAGs, feature stores, model registries, and automated retraining/validation workflows to orchestrate reproducible training and deployment.

MLflow Lifecycle Platform

Orchestra-Research/AI-Research-SKILLs

Track experiments, catalog models, compare versions, and deploy trained artifacts with MLflow’s framework-agnostic lifecycle tools across PyTorch, TensorFlow, and other stacks.

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.

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.

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.

Mergekit Model Fusion

Orchestra-Research/AI-Research-SKILLs

Combines fine-tuned models with Mergekit to blend math, coding, and chat expertise without retraining, covering SLERP, TIES, DARE, Task Arithmetic, and linear merges for rapid experimentation and deployment.

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