Agent Context Protocol (ACP) skills for computer vision workflows using FiftyOne.
npx claudepluginhub voxel51/fiftyone-skillsBuild high-quality datasets and computer vision models. Visualize datasets, analyze models, find duplicates, run inference, evaluate predictions, and develop custom plugins.

Expert workflows for computer vision powered by AI assistants
Skills are packaged workflows that teach AI assistants to perform complex computer vision tasks autonomously. Combined with the FiftyOne MCP Server, you can find duplicates, run inference, and explore datasets using natural language.
"Find and remove duplicate images from my dataset"
"Import this COCO dataset and run object detection"
"Visualize my embeddings and identify outliers"
Skills bridge the gap between natural language and FiftyOne's 80+ operators, providing step-by-step guidance that AI assistants follow to complete complex workflows.
| Skill | Description | MCP |
|---|---|---|
| 📥 Dataset Import | Universal import for all media types, label formats, multimodal groups, and Hugging Face Hub | Yes |
| 📤 Dataset Export | Export datasets to COCO, YOLO, VOC, CVAT, CSV, Hugging Face Hub, and more | Yes |
| 🔍 Find Duplicates | Find and remove duplicate images using brain similarity | Yes |
| 🤖 Dataset Inference | Run Zoo models for detection, classification, segmentation, embeddings | Yes |
| 📈 Model Evaluation | Compute mAP, precision, recall, confusion matrices, analyze TP/FP/FN | Yes |
| 📊 Embeddings Visualization | Visualize datasets in 2D, find clusters, identify outliers | Yes |
| 🔌 Develop Plugin | Create custom FiftyOne plugins (operators and panels) | — |
| 🎨 VOODO Design | Build UIs with VOODO React components and design tokens | — |
| 📝 Code Style | Write Python code following FiftyOne's official conventions | — |
| 📓 Create Notebook | Create Jupyter notebooks: getting-started guides, tutorials, recipes, ML pipelines | — |
| 🏷️ Issue Triage | Triage GitHub issues: validate status, categorize, generate responses | — |
| 🧹 Dataset Curation | End-to-end curation: quality checks, annotation audit, duplicates, class distribution, splits | Yes |
| 🔧 Troubleshoot | Fix common issues: dataset persistence, App connection, MongoDB errors, codecs, performance | — |
| 🛡️ Eval Plugin | Evaluate plugins for quality, security, and agent-readiness. Produces a structured report | — |
Universal Installer (Recommended):
curl -sL skil.sh | sh -s -- voxel51/fiftyone-skills
Interactive prompts let you select skills, agents, and install scope (project or global).
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