Skills for “visualization”

Visualizes datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when exploring dataset structure, finding clusters, identifying outliers, or understanding data distribution.

Use Superset MCP tools for Explore links, chart configuration discovery, chart previews, saved charts, and chart updates. Use only for MCP tool workflows; do not use for direct API work.

…of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full…

Creates Amplitude charts from natural language descriptions, handling event selection, filters, groupings, and visualization choices. Use when you know what you want to measure but prefer not to build the chart manually.

…top-N, path extraction, output formatting (graph visualization with TO_JSON vs tabular), GRAPH_TABLE relational SQL integration, and semantic graph querying via the GRAPH_EXPAND TVF with starting-node view…

…dictate the ANALYSIS STEPS (e.g., markdown analysis cells, visualization logic), but defer to `bigquery` for all SQL…

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time…

…missing calibration to AutoMagicCalib, inspect OSD or BEV visualization, consume MV3DT Kafka metadata, or clean up MV3DT run state in the DeepStream MV3DT app…

…these into a pipeline. Do NOT use for frontend/dashboard/visualization work, generic ML advice, billing/access, or non-Nemotron coding…

…deterministic, template-first workbook JSON, validates visualization runtime semantics, uses governed datasource metadata when Oracle Analytics MCP tools are available, and can still produce a validated local…