\n\n**Expert workflows for computer vision powered by AI assistants**\n\n[](LICENSE)\n[](https://github.com/voxel51/fiftyone)\n[](https://github.com/voxel51/fiftyone-mcp-server)\n[](https://github.com/voxel51/fiftyone-skills/actions/workflows/validate.yml)\n\n[](https://discord.gg/fiftyone-community)\n[](https://huggingface.co/Voxel51)\n[](https://voxel51.com/blog)\n[](https://share.hsforms.com/1zpJ60ggaQtOoVeBqIZdaaA2ykyk)\n[](https://www.linkedin.com/company/voxel51)\n[](https://x.com/voxel51)\n[](https://medium.com/voxel51)\n\n[Documentation](https://docs.voxel51.com) ยท [MCP Server](https://github.com/voxel51/fiftyone-mcp-server) ยท [FiftyOne Plugins](https://github.com/voxel51/fiftyone-plugins) ยท [Discord](https://discord.gg/fiftyone-community)\n\n
\n\n## What are Skills?\n\nSkills are packaged workflows that teach AI assistants to perform complex computer vision tasks autonomously. Combined with the [FiftyOne MCP Server](https://github.com/voxel51/fiftyone-mcp-server), you can find duplicates, run inference, and explore datasets using natural language.\n\n```\n\"Find and remove duplicate images from my dataset\"\n\"Import this COCO dataset and run object detection\"\n\"Visualize my embeddings and identify outliers\"\n```\n\nSkills bridge the gap between natural language and FiftyOne's 80+ operators, providing step-by-step guidance that AI assistants follow to complete complex workflows.\n\n## Available Skills\n\n| Skill | Description | MCP |\n|-------|-------------|-----|\n| ๐ฅ [**Dataset Import**](skills/fiftyone-dataset-import/SKILL.md) | Universal import for all media types, label formats, multimodal groups, and Hugging Face Hub | Yes |\n| ๐ค [**Dataset Export**](skills/fiftyone-dataset-export/SKILL.md) | Export datasets to COCO, YOLO, VOC, CVAT, CSV, Hugging Face Hub, and more | Yes |\n| ๐ [**Find Duplicates**](skills/fiftyone-find-duplicates/SKILL.md) | Find and remove duplicate images using brain similarity | Yes |\n| ๐ค [**Dataset Inference**](skills/fiftyone-dataset-inference/SKILL.md) | Run Zoo models for detection, classification, segmentation, embeddings | Yes |\n| ๐ [**Model Evaluation**](skills/fiftyone-model-evaluation/SKILL.md) | Compute mAP, precision, recall, confusion matrices, analyze TP/FP/FN | Yes |\n| ๐ [**Embeddings Visualization**](skills/fiftyone-embeddings-visualization/SKILL.md) | Visualize datasets in 2D, find clusters, identify outliers | Yes |\n| ๐ [**Develop Plugin**](skills/fiftyone-develop-plugin/SKILL.md) | Create custom FiftyOne plugins (operators and panels) | โ |\n| ๐จ [**VOODO Design**](skills/fiftyone-voodo-design/SKILL.md) | Build UIs with VOODO React components and design tokens | โ |\n| ๐ [**Code Style**](skills/fiftyone-code-style/SKILL.md) | Write Python code following FiftyOne's official conventions | โ |\n| ๐ [**Create Notebook**](skills/fiftyone-create-notebook/SKILL.md) | Create Jupyter notebooks: getting-started guides, tutorials, recipes, ML pipelines | โ |\n| ๐ท๏ธ [**Issue Triage**](skills/fiftyone-issue-triage/SKILL.md) | Triage GitHub issues: validate status, categorize, generate responses | โ |\n| ๐งน [**Dataset Curation**](skills/fiftyone-dataset-curation/SKILL.md) | End-to-end curation: quality checks, annotation audit, duplicates, class distribution, splits | Yes |\n| ๐ง [**Troubleshoot**](skills/fiftyone-troubleshoot/SKILL.md) | Fix common issues: dataset persistence, App connection, MongoDB errors, codecs, performance | โ |\n| ๐ก๏ธ [**Eval Plugin**](skills/fiftyone-eval-plugin/SKILL.md) | Evaluate plugins for quality, security, and agent-readiness. Produces a structured report | โ |\n| ๐งฉ [**Zoo Remote Model**](skills/fiftyone-zoo-remote-model/SKILL.md) | Build remote model zoo integrations that work with `register_zoo_model_source` and `dataset.apply_model` | โ |\n| ๐ [**Generate Data Lens Connector**](skills/fiftyone-generate-data-lens-connector/SKILL.md) | Generate a Data Lens connector from an external database schema (PostgreSQL, BigQuery, MySQL, etc.) | โ |\n| ๐ญ [**App Playwright**](skills/fiftyone-app-playwright/SKILL.md) | Drive the FiftyOne App via the Playwright MCP for operator/plugin verification, demos, and end-to-end UI automation | โ |\n| ๐ [**SDK Guidance**](skills/fiftyone-sdk-guidance/SKILL.md) | Answer FiftyOne SDK and docs questions with live documentation search, or provide the SDK path when no operator exists | โ |\n\n## Quick Start\n\n### Step 1: Install Skills\n\n**Universal Installer** (Recommended):\n```bash\ncurl -sL skil.sh | sh -s -- voxel51/fiftyone-skills\n```\nInteractive prompts let you select skills, agents, and install scope (project or global).\n\nSupported agents: Claude Code, Cursor, Codex, OpenCode, GitHub Copilot, Amp, Antigravity, Roo Code, Kilo Code, Goose\n\n**Claude Code:**\n```bash\n# Register the skills marketplace\n/plugin marketplace add voxel51/fiftyone-skills\n\n# Install a skill\n/plugin install fiftyone-find-duplicates@fiftyone-skills\n```\n\n**Gemini CLI:**\n```bash\ngemini extensions install https://github.com/voxel51/fiftyone-skills.git --consent\n```\n\n### Step 2: Use It\n\n```\n\"Write a FiftyOne plugin that displays model confidence\"\n\"Write Python code following FiftyOne conventions\"\n```\n\nYour AI assistant will automatically load the skill instructions and execute the workflow.\n\n### Step 3: Set Up MCP Server (Optional)\n\nSkills marked with **MCP** in the [table above](#available-skills) require the [FiftyOne MCP Server](https://github.com/voxel51/fiftyone-mcp-server) to interact with datasets and run operators.\n\n```bash\npip install fiftyone-mcp-server\n```\n\n> **โ ๏ธ Important:** Make sure to use the same Python environment where you installed the MCP server when configuring your AI tool. If you installed it in a virtual environment or conda environment, you must activate that environment or specify the full path to the executable.\n\nThen configure your AI tool:\n\n\nClaude Code (Recommended)\n\n```bash\nclaude mcp add fiftyone -- fiftyone-mcp\n```\n\n\n\n\nClaude Desktop\n\nEdit `~/Library/Application Support/Claude/claude_desktop_config.json`:\n\n```json\n{\n \"mcpServers\": {\n \"fiftyone\": {\n \"command\": \"fiftyone-mcp\"\n }\n }\n}\n```\n\n\n\n\nCursor\n\n[](cursor://anysphere.cursor-deeplink/mcp/install?name=fiftyone&config=eyJjb21tYW5kIjoiZmlmdHlvbmUtbWNwIn0)\n\nAdd to `~/.cursor/mcp.json`:\n\n```json\n{\n \"mcpServers\": {\n \"fiftyone\": {\n \"command\": \"fiftyone-mcp\"\n }\n }\n}\n```\n\n\n\n\nVSCode\n\n[](https://insiders.vscode.dev/redirect/mcp/install?name=fiftyone&config=%7B%22command%22%3A%22fiftyone-mcp%22%7D)\n\nAdd to `.vscode/mcp.json`:\n\n```json\n{\n \"servers\": {\n \"fiftyone\": {\n \"command\": \"fiftyone-mcp\"\n }\n }\n}\n```\n\n\n\nOnce configured, you can use MCP-dependent skills:\n\n```\n\"Find and remove duplicate images from my dataset\"\n\"Import this COCO dataset and run object detection\"\n```\n\n## Skill Structure\n\nEach skill follows the [Agent Skills](https://agentskills.io) specification:\n\n```\nskills/\nโโโ fiftyone-find-duplicates/\n โโโ SKILL.md # Instructions for AI\n```\n\n**SKILL.md format:**\n\n```markdown\n---\nname: skill-name\ndescription: When to use this skill\n---\n\n# Overview\nWhat this skill does\n\n# Prerequisites\nRequired setup\n\n# Key Directives\nALWAYS/NEVER rules for AI\n\n# Workflow\nStep-by-step instructions\n\n# Troubleshooting\nCommon errors and solutions\n```\n\n## Contributing\n\nWe welcome contributions! Whether you want to add a new skill, improve an existing one, or help with integrations and tooling โ there's a place for you here.\n\nSee **[CONTRIBUTING.md](CONTRIBUTING.md)** for the full guide, including skill structure requirements, the quality bar, and how to test your skill before submitting.\n\nLooking for ideas? Browse issues labeled [`help wanted`](https://github.com/voxel51/fiftyone-skills/labels/help%20wanted) or [`good first issue`](https://github.com/voxel51/fiftyone-skills/labels/good%20first%20issue), or check the [project milestones](https://github.com/voxel51/fiftyone-skills/milestones) for planned work.\n\n## Feedback\n\nHelp us improve FiftyOne Skills!\n\n**Just ask your AI assistant:**\n```\n\"Help me submit feedback about [your issue]\"\n```\n\nThe agent will automatically gather session context, environment info, and can submit directly via `gh` CLI or generate content to paste at **[Submit Feedback](https://github.com/voxel51/fiftyone-skills/issues/new?template=skill-feedback.yml)**\n\n## Resources\n\n| Resource | Description |\n|----------|-------------|\n| [FiftyOne Docs](https://docs.voxel51.com) | Official documentation |\n| [FiftyOne MCP Server](https://github.com/voxel51/fiftyone-mcp-server) | MCP server for AI integration |\n| [FiftyOne Plugins](https://github.com/voxel51/fiftyone-plugins) | Official plugin collection |\n| [Agent Skills Spec](https://agentskills.io) | Skills format specification |\n| [PyPI Package](https://pypi.org/project/fiftyone-mcp-server/) | MCP server on PyPI |\n| [Discord Community](https://discord.gg/fiftyone-community) | Get help and share ideas |\n\n## ๐งก Community\n\nJoin the FiftyOne community to get help, share your skills, and connect with other users:\n\n- **Discord**: [FiftyOne Community](https://discord.gg/fiftyone-community)\n- **GitHub Issues**: [Report bugs or request features](https://github.com/voxel51/fiftyone-skills/issues)\n\n---\n\n
\n\nCopyright 2017-2026, Voxel51, Inc. ยท [Apache 2.0 License](LICENSE)\n\n
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