fiftyone-embeddings-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.
Install
With your agent
Install OMGSkills skill "voxel51/fiftyone-skills:skills/fiftyone-embeddings-visualization" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/voxel51/fiftyone-skills /tmp/fiftyone-skills && ln -s /tmp/fiftyone-skills/skills/fiftyone-embeddings-visualization ~/.claude/skills/fiftyone-embeddings-visualizationFrom README
Embeddings Visualization in FiftyOne Key Directives ALWAYS follow these rules: Set context first Launch FiftyOne App Brain operators are delegated and require the app: Wait 5-10 seconds for initialization. Discover operators dynamically Compute embeddings before visualization Embeddings are required for dimensionality reduction: Close app when done Complete Workflow Step 1: Step 2: Verify Brain Plugin Step 3: Discover Brain Operators Step 4: Check for Existing Embeddings or Compute New Ones First, check if the dataset already has embeddings by looking at the operator schema: If embeddings exist: Skip to Step 5 and use the existing embeddings field.
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