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Model Drift Detector

model-drift-detector

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance on identifying and responding to model drift within ML deployment workflows, offering best practices, production-ready code, and validation support so you can keep inference systems stable.

Model Evaluation Metrics

model-evaluation-metrics

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for evaluating machine learning models, covering best practices, sample code, and validation patterns triggered by mentions of model evaluation metrics.

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 Pruning Helper

model-pruning-helper

jeremylongshore/claude-code-plugins-plus-skills

Guides ML deployment workflows by surfacing best practices, templated code, and validation steps whenever model pruning helper patterns are mentioned.

Model Quantization Assistant

model-quantization-tool

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for deploying machine learning models with quantization, covering tooling, best practices, and production readiness for inference, MLops, and monitoring tasks.

Model Registry Manager

model-registry-manager

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for model registry manager tasks within ML deployment, covering serving, MLOps pipelines, monitoring, and production optimization whenever that trigger phrase appears.

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.

Minimalist GPT Training

Orchestra-Research/AI-Research-SKILLs

NanoGPT is a hackable ~300-line PyTorch reproduction of GPT-2 for learning transformer internals; train Shakespeare or OpenWebText on CPUs or multi-GPU setups, experiment with fine-tuning/custom datasets, and prototype quickly.

Programmable LLM Safety Rails

nemo-guardrails

Orchestra-Research/AI-Research-SKILLs

NVIDIA’s NeMo Guardrails adds runtime safety rails to LLM apps, covering jailbreak detection, hallucination and fact-checking, PII filtering, and toxicity checks via Colang 2.0 rules and integrations for production use on T4 GPUs.

News API Automation

news-api-automation

ComposioHQ/awesome-claude-skills

Automates News API operations via Rube MCP/Composio by first discovering tool schemas, confirming connections, and executing RUBE_MULTI_EXECUTE_TOOL flows with schema-compliant arguments for repeatable news workflows.

Nnsight Remote Interpretability

nnsight-remote-interpretability

Orchestra-Research/AI-Research-SKILLs

Guides researchers through nnsight workflows for probing PyTorch models locally or via NDIF remote nodes, covering activation analysis, patching, and tracing tools for massive GPT/Llama families.

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