Plugin Claude Code
Plugin marketplace listing 18 plugins: fiftyone-dataset-import, fiftyone-dataset-export, fiftyone-find-duplicates, fiftyone-dataset-inference, fiftyone-model-evaluation.
Plugin Claude Code
Plugin marketplace listing 18 plugins: fiftyone-dataset-import, fiftyone-dataset-export, fiftyone-find-duplicates, fiftyone-dataset-inference, fiftyone-model-evaluation.
Plugin Claude Code
Build high-quality datasets and computer vision models. Visualize datasets, analyze models, find duplicates, run inference, evaluate predictions, and develop custom plugins.
MCP server Claude CodeCodexCursor +2
MCP server "fiftyone" as configured in voxel51/fiftyone-skills. Launched with fiftyone-mcp.
Instructions file CodexOpenCode
Instructions for voxel51/fiftyone-skills, covering fiftyone skills - agent instructions, available skills, fiftyone dataset import (fiftyone-dataset-import/), fiftyone dataset export (fiftyone-dataset-export/) and fiftyone model evaluation (fiftyone-model-evaluation/).
Command
Get help with FiftyOne skills, understand available workflows, and troubleshoot setup issues.
Command
Guided quickstart for FiftyOne - choose between user workflows (import, inference, visualization) or developer workflows (plugin development).
Skill Claude CodeCodex
Use when driving the FiftyOne App via the Playwright MCP — plugin/operator verification, demo or screencast recording, or any end-to-end UI automation against fo.launchapp(...). Covers the critical "do not navigate after reloaddataset" crash, launcher patterns (remote=True, trigger-file IPC), MUI-specific…
Skill Claude CodeCodex
Writes Python code following FiftyOne's official conventions. Use when contributing to FiftyOne, developing plugins, or writing code that integrates with FiftyOne's codebase.
Skill Claude CodeCodex
Creates Jupyter notebooks for FiftyOne workflows including getting-started guides, tutorials, recipes, and full ML pipelines. Use when creating notebooks, writing tutorials, building demos, or generating FiftyOne walkthroughs covering data loading, exploration, inference, evaluation, and export.
Skill Claude CodeCodex
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.
Skill Claude CodeCodex
Exports FiftyOne datasets to standard formats (COCO, YOLO, VOC, CVAT, CSV, etc.) and Hugging Face Hub. Use when converting datasets, exporting for training, creating archives, sharing data in specific formats, or publishing datasets to Hugging Face.
Skill Claude CodeCodex
Imports datasets into FiftyOne with automatic format detection. Supports all media types (images, videos, point clouds), label formats (COCO, YOLO, VOC, KITTI), multimodal grouped datasets, and Hugging Face Hub datasets. Use when importing datasets from local files or Hugging Face, loading autonomous driving data, or…
Skill Claude CodeCodex
Run ML model inference on FiftyOne datasets. Use when running models for detection, classification, segmentation, or embeddings. Discovers available models dynamically from the Zoo, plugin operators, or custom sources — never assumes a fixed model list.
Skill Claude CodeCodex
Develops custom FiftyOne plugins (operators and panels) from scratch. Use when creating plugins, extending FiftyOne with custom operators, building interactive panels, or integrating external APIs.
Skill Claude CodeCodex
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.
Skill Claude CodeCodex
Evaluates FiftyOne plugins for quality, security, and agent-readiness. Use when reviewing a plugin before installation, auditing an existing plugin, validating a plugin you just built, or assessing community plugins for safety. Produces a structured report with scores and actionable recommendations.
Skill Claude CodeCodex
Finds duplicate or near-duplicate images in FiftyOne datasets using brain similarity computation. Use when deduplicating datasets, finding similar images, or removing redundant samples.
Skill Claude CodeCodex
Generate a Data Lens connector from an external database schema. Use when users want to connect an external data source (PostgreSQL, BigQuery, Databricks, MySQL, etc.) to FiftyOne Data Lens, or when they have a database schema and want to browse/import that data through the FiftyOne App.
Skill Claude CodeCodex
Triages FiftyOne GitHub issues by categorizing as fixed, won't fix, not reproducible, or still valid. Use when reviewing GitHub issues, triaging bugs, or closing stale issues in the voxel51/fiftyone repository.
Skill Claude CodeCodex
Evaluate model predictions against ground truth using COCO, Open Images, or custom protocols. Use when computing mAP, precision, recall, confusion matrices, or analyzing TP/FP/FN examples for detection, classification, segmentation, or regression tasks.
Skill Claude CodeCodex
Answers FiftyOne Python SDK questions with accurate, runnable code. Use when the user asks how to do something in the FiftyOne Python SDK, asks a docs question, no skill or operator covers their goal, or the agent is unsure of the correct FiftyOne method, argument, or field path while writing code — e.g. "how do I do…
Skill Claude CodeCodex
Diagnose and fix common FiftyOne issues automatically. Use when a dataset disappeared, the App won't open, changes aren't saving, MongoDB errors occur, video codecs fail, notebook connectivity breaks, operators are missing, or any recurring FiftyOne pain point needs solving.
Skill Claude CodeCodex
Build FiftyOne UIs using VOODO (@voxel51/voodo), the official React component library. Use when building plugin panels, creating interactive UIs, or styling FiftyOne applications. Fetches complete component API reference dynamically.
Skill Claude CodeCodex
Use when integrating a model into FiftyOne's remote model zoo — detection, classification, segmentation, embedding, keypoint, or vision-language (VLM) models loaded via registerzoomodelsource and loadzoomodel, then applied with dataset.applymodel. Also for debugging zoo registration, manifest.json issues, custom…