SKILL.md packages that extend Claude Code, Cursor, Copilot, and other AI agents.
Tags

opengauss
Use DSPy to build declarative, modular LM pipelines, optimize prompts automatically, and assemble reliable RAG/agent systems with structured signatures and opti

Terradev
Provision and manage GPUs across clouds, create GPU Kubernetes clusters, deploy inference endpoints, and burst local compute to cloud with BYOAPI credential saf

claude-skills
Provides senior MLOps guidance: build and validate ML pipelines, deploy and monitor models in production, set up feature stores, and automate CI/CD for models.

zorai
Integrate Weights & Biases for ML experiment tracking: log metrics, hyperparameters, checkpoints, run sweeps and view collaborative dashboards.

agent-almanac
Set up MLflow experiment tracking: server, autologging, artifact storage, run comparison and lifecycle management for reproducible ML workflows.

cv-train-stack
Review, run, validate and audit computer vision model training with checks for dataset quality, preprocessing consistency, augmentation, and deployment validati

claude-code-toolkit
Practical guide to building production Retrieval-Augmented Generation (RAG) systems: vector DB selection, chunking strategies, embedding model choices, retrieva

DeepScientist
Frame ambiguous research or engineering tasks: clarify goals, metrics, datasets, and a justified baseline so work can proceed with confidence.

application-skills
Integrate and interact with MindsDB via the Membrane CLI: manage connections, list and run actions, and automate model predictions against your database.

claude-code-plugins-plus-skills
Guided ML pipeline builder that walks an agent through data validation, feature engineering, training, evaluation, and serving endpoints for classification or r

agent-plugins
Generates deployment code and a Jupyter notebook to deploy LoRA fine-tuned Nova or OSS models (from SageMaker Serverless Model Customization) to SageMaker endpo

tonone
Build a reproducible ML training-to-serving pipeline: data validation, feature engineering, training, evaluation, and a serving endpoint.

suna
Run, compare and manage AI model inferences via the Replicate API for image, video, and audio generation and other ML inference tasks.

agent-skills-library
A comprehensive workflow bundle for designing, building, and operating LLM applications, RAG systems, AI agents, and ML pipelines.

argentos-core
Comprehensive guide for fine-tuning LLMs using TRL, covering SFT, DPO, PPO, and GRPO for human preference alignment.

agent-almanac
Automates end-to-end machine learning workflows using Prefect or Airflow, from data ingestion to model deployment.

feast
Comprehensive guide for managing AI/ML feature stores, including entity definition, feature retrieval, and RAG pipelines.

skills
Rapidly deploy and iterate on AI workloads using serverless GPUs/CPUs on Runpod with hot-reloading and live logs.

agent-skills
Expert guidance for Azure Data Science VMs: troubleshooting, configuration, deployment (Bicep/ARM), security, and integrations like MLflow and Key Vault.

grind-lab-core
Monitors running experiments, classifies statuses (OK/STALLED/FAILED/COMPLETE), and appends alerts to project notes.