data-labeling
claudeData labeling: annotation guidelines, platforms, inter-annotator agreement, active learning, weak supervision, and label error detection.
1 skill · 1 command · 1 agent
Vector databases: index selection and tuning, pgvector, Pinecone, Qdrant, multi-tenancy, and reindexing after embedding changes.
Plugin vector-databases from marketplace libre-mlops in HermeticOrmus/LibreMLOps-Claude-Code. Commands read from the repo's manifest — 1 month ago.
vectordb-patternsVector database patterns with code: pgvector with an HNSW index, Pinecone namespaces for isolation, Qdrant named vectors and payload filters, FAISS for offline batch indexing, and embedding drift detection with reindexing. Use when storing and searching embeddings.
/vector-databases:vectordbCreate a vector store with an HNSW index, upsert embeddings in batches, query with metadata filters and tenant isolation, or plan a reindex after an embedding model change.
vectordb-engineerUse this agent when choosing, configuring, or scaling a vector database: HNSW, IVF, and PQ index trade-offs, pgvector, Pinecone, or Qdrant setup, multi-tenant namespace isolation, dimensionality reduction, and reindexing after an embedding model change.
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
Data versioning: DVC, Delta Lake, lineage, dataset cards, and reproducible dataset splits.
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
Self-learning vector database — HNSW, FlashAttention-3, Graph RAG, hybrid search, DiskANN, and Brain AGI
4 skills · 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
Personal knowledge brain for your coding agent — hybrid search, synthesis, and durable cross-session memory, plus a curated brain-first skill set.
80 skills · 1 MCP server · hooks
Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture
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.