data-labeling
claudeData labeling: annotation guidelines, platforms, inter-annotator agreement, active learning, weak supervision, and label error detection.
1 skill · 1 command · 1 agent
0
claude
model-monitoring
Model monitoring: data and concept drift, performance estimation without labels, and alerting without alert fatigue.
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Plugin model-monitoring from marketplace libre-mlops in HermeticOrmus/LibreMLOps-Claude-Code. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (1)
model-monitoring-patternsModel monitoring patterns with code: PSI feature drift, Evidently drift reports and test suites, NannyML performance estimation without labels, whylogs profiles, and Prometheus metrics for model serving. Use when watching a production model for degradation.
Slash commands (1)
/model-monitoring:monitor-modelCompute feature drift against a reference window, estimate performance without labels, configure Prometheus alerts, or generate an Evidently report.
Subagents (1)
model-monitorUse this agent when a model is in production or about to be: detecting data and concept drift, choosing reference windows, estimating performance before labels arrive, and designing alerts that catch real degradation without flooding on-call.
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