data-labeling
claudeData labeling: annotation guidelines, platforms, inter-annotator agreement, active learning, weak supervision, and label error detection.
1 skill · 1 command · 1 agent
Data versioning: DVC, Delta Lake, lineage, dataset cards, and reproducible dataset splits.
Plugin data-versioning from marketplace libre-mlops in HermeticOrmus/LibreMLOps-Claude-Code. Commands read from the repo's manifest — 1 month ago.
data-versioning-patternsData versioning patterns with code: the Git plus DVC workflow, DVC pipelines and experiments, Delta Lake time travel, OpenLineage events, and versioned dataset splits. Use when making ML data reproducible.
/data-versioning:data-versionSet up DVC with remote storage, track data files, push them for the team, or diff data, params, and metrics between versions.
data-version-engineerUse this agent when an experiment has to be reproducible from a commit: versioning datasets with DVC, Delta Lake, or Pachyderm, recording lineage with OpenLineage and Marquez, writing dataset cards, or freezing train, validation, and test splits.
Data labeling: annotation guidelines, platforms, inter-annotator agreement, active learning, weak supervision, and label error detection.
1 skill · 1 command · 1 agent
ML data pipelines: Apache Beam, Spark, dbt, orchestration, streaming features, validation, and backfills.
1 skill · 1 command · 1 agent
Distributed training: DDP, FSDP, DeepSpeed ZeRO, model parallelism, mixed precision, and multi-node debugging.
1 skill · 1 command · 1 agent
Experiment tracking: MLflow, Weights & Biases, Neptune, ClearML, hyperparameter search, and run organization.
1 skill · 1 command · 1 agent
Feature engineering: feature stores, transformations, selection, time-series features, leakage checks, and drift.
1 skill · 1 command · 1 agent
GPU optimization: profiling, memory management, torch.compile, Flash Attention, Triton kernels, and quantization.
1 skill · 1 command · 1 agent
Query Trackio projects, runs, and metrics using the `trackio` CLI. Use when the user needs to list projects/runs/metrics, get summaries, or retrieve metric values from local Trackio databases. Supports both human-readable and JSON output formats. Covers project discovery, run inspection, metric querying, and system metrics. Designed for LLM agents and automation scripts.
1 skill
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
2 skills · 1 command · 3 agents
Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture
Agents for data engineering, machine learning, and AI development
12 agents
5 live-detection Databricks skills — cost-leak-hunter, cluster-forensics, uc-migration-pilot, streaming-guardian, bundle-medic — backed by the databricks-workspace-mcp server (npm). The v2 rebuild: real workspace detection over static docs.
5 skills · 1 MCP server · hooks
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.