fiftyone-dataset-curation
SkillEnd-to-end dataset curation for FiftyOne: inspect schema and quality, audit annotations, analyze class distributions, explore embeddings, find duplicates, create curated subsets, and build train/val/test splits. Works with any computer vision dataset type.
Install
git clone https://github.com/voxel51/fiftyone-skills.git ~/.claude/skills/fiftyone-dataset-curationWhat is fiftyone-dataset-curation?
End-to-end dataset curation for FiftyOne: inspect schema and quality, audit annotations, analyze class distributions, explore embeddings, find duplicates, create curated subsets, and build train/val/test splits. Works with any computer vision dataset type.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~64 tokens of context used while enabled, before you invoke anything
Documentation
README · ~13 min readFiftyOne Dataset Curation
End-to-end curation pipeline for any FiftyOne dataset: images, video, point clouds, grouped multimodal. Run all phases sequentially or jump directly to any single phase.
Key Directives
ALWAYS follow these rules — no exceptions:
1. Check for a loaded dataset first
list_datasets()
If none exists, offer to delegate to fiftyone-dataset-import skill.
2. Set context before any operation
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Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.
PreToolUse (mcp__.*__run_query)
Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.