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Workflow Validation
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22
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Model Checkpoint Manager
model-checkpoint-manager
jeremylongshore/claude-code-plugins-plus-skills
441
Automated guidance for managing model checkpoints in ML training workflows, offering best practices, sample code, and validation to keep experiments stable and reproducible.
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Model Drift Detector
model-drift-detector
jeremylongshore/claude-code-plugins-plus-skills
198
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.
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Model Explainability Assistant
model-explainability-tool
jeremylongshore/claude-code-plugins-plus-skills
121
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.
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Model Pruning Helper
model-pruning-helper
jeremylongshore/claude-code-plugins-plus-skills
283
Guides ML deployment workflows by surfacing best practices, templated code, and validation steps whenever model pruning helper patterns are mentioned.
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Prediction Monitor Assistant
prediction-monitor
jeremylongshore/claude-code-plugins-plus-skills
240
Prediction Monitor Assistant automates machine learning deployment monitoring tasks, offering step-by-step guidance, best-practice patterns, production-ready code and configuration generation, and validation to keep serving and inference workflows reliable.
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Advanced Prompt Engineering Patterns
prompt-engineering-patterns
sickn33/antigravity-awesome-skills
170
Guides prompt engineers through advanced patterns for maximizing LLM reliability and controllability, covering few-shot selection, chain-of-thought, templates, system prompts, and validation workflows for production-grade applications.
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Sagemaker Endpoint Deployer
sagemaker-endpoint-deployer
jeremylongshore/claude-code-plugins-plus-skills
256
Auto-activating assistant that guides AWS Sagemaker endpoint deployment, from best practices to production-ready code, configurations, and validation for inference serving and monitoring workflows.
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Train Test Splitter
train-test-splitter
jeremylongshore/claude-code-plugins-plus-skills
383
Automates guidance on train/test split workflows inside ML training, surfacing best-practice patterns, code snippets, and validation tips for PyTorch, TensorFlow, and sklearn projects.
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Specialized Windsurf Cascade Agents
windsurf-cascade-agents
jeremylongshore/claude-code-plugins-plus-skills
346
Creates customized Cascade agent configurations for domain-specific tasks using Windsurf tools, covering system prompts, context sources, activation triggers, and validation workflows for specialized AI behavior.
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Typed AI Agents
pydantic-ai
sickn33/antigravity-awesome-skills
344
PydanticAI brings Pydantic-style validation and type safety to LLM agent workflows, offering structured outputs, dependency injection, and tool integrations across providers so Python teams can test, monitor, and reuse agents reliably.
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