fiftyone-skills
FiftyOne computer vision dataset management with 80+ operators for import, export, inference, evaluation, visualization, and plugin developm
Open source Open in the app JSON README (API)
About
FiftyOne computer vision dataset management with 80+ operators for import, export, inference, evaluation, visualization, and plugin development.
Details
- Kind
- Plugins
- Topic
- Government & public data
- Publisher
- voxel51
- Origin
- gemini
- Category
- ferramentas
- Version
- 1.0.3
- Stars
- 39
- Forks
- 8
- Open pull requests
- 2
- Last push
- 2026-08-16T19:44:25Z
- Repository state
- ativo
- Language
- JavaScript
- License
- Apache-2.0
- Added
- 2026-08-30 14:13:39
- Updated
- 2026-08-30 14:13:39
- Origin id
voxel51/fiftyone-skills
README
# FiftyOne Skills
<div align="center">
<p align="center">
<!-- prettier-ignore -->
<img src="https://user-images.githubusercontent.com/25985824/106288517-2422e000-6216-11eb-871d-26ad2e7b1e59.png" height="55px">
<img src="https://user-images.githubusercontent.com/25985824/106288518-24bb7680-6216-11eb-8f10-60052c519586.png" height="50px">
</p>
**Expert workflows for computer vision powered by AI assistants**
[](LICENSE)
[](https://github.com/voxel51/fiftyone)
[](https://github.com/voxel51/fiftyone-mcp-server)
[](https://github.com/voxel51/fiftyone-skills/actions/workflows/validate.yml)
[](https://discord.gg/fiftyone-community)
[](https://huggingface.co/Voxel51)
[](https://voxel51.com/blog)
[](https://share.hsforms.com/1zpJ60ggaQtOoVeBqIZdaaA2ykyk)
[](https://www.linkedin.com/company/voxel51)
[](https://x.com/voxel51)
[](https://medium.com/voxel51)
[Documentation](https://docs.voxel51.com) · [MCP Server](https://github.com/voxel51/fiftyone-mcp-server) · [FiftyOne Plugins](https://github.com/voxel51/fiftyone-plugins) · [Discord](https://discord.gg/fiftyone-community)
</div>
## What are Skills?
Skills 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.
```
"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.
## Available Skills
| Skill | Description | MCP |
|-------|-------------|-----|
| 📥 [**Dataset Import**](skills/fiftyone-dataset-import/SKILL.md) | Universal import for all media types, label formats, multimodal groups, and Hugging Face Hub | Yes |
| 📤 [**Dataset Export**](skills/fiftyone-dataset-export/SKILL.md) | Export datasets to COCO, YOLO, VOC, CVAT, CSV, Hugging Face Hub, and more | Yes |
| 🔍 [**Find Duplicates**](skills/fiftyone-find-duplicates/SKILL.md) | Find and remove duplicate images using brain similarity | Yes |
| 🤖 [**Dataset Inference**](skills/fiftyone-dataset-inference/SKILL.md) | Run Zoo models for detection, classification, segmentation, embeddings | Yes |
| 📈 [**Model Evaluation**](skills/fiftyone-model-evaluation/SKILL.md) | Compute mAP, precision, recall, confusion matrices, analyze TP/FP/FN | Yes |
| 📊 [**Embeddings Visualization**](skills/fiftyone-embeddings-visualization/SKILL.md) | Visualize datasets in 2D, find clusters, identify outliers | Yes |
| 🔌 [**Develop Plugin**](skills/fiftyone-develop-plugin/SKILL.md) | Create custom FiftyOne plugins (operators and panels) | — |
| 🎨 [**VOODO Design**](skills/fiftyone-voodo-design/SKILL.md) | Build UIs with VOODO React components and design tokens | — |
| 📝 [**Code Style**](skills/fiftyone-code-style/SKILL.md) | Write Python code following FiftyOne's official conventions | — |
| 📓 [**Create Notebook**](skills/fiftyone-create-notebook/SKILL.md) | Create Jupyter notebooks: getting-started guides, tutorials, recipes, ML pipelines | — |
| 🏷️ [**Issue Triage**](skills/fiftyone-issue-triage/SKILL.md) | Triage GitHub issues: validate status, categorize, generate responses | — |
| 🧹 [**Dataset Curation**](skills/fiftyone-dataset-curation/SKILL.md) | End-to-end curation: quality checks, annotation audit, duplicates, class distribution, splits | Yes |
| 🔧 [**Troubleshoot**](skills/fiftyone-troubleshoot/SKILL.md) | Fix common issues: dataset persistence, App connection, MongoDB errors, codecs, performance | — |
| 🛡️ [**Eval Plugin**](skills/fiftyone-eval-plugin/SKILL.md) | Evaluate plugins for quality, security, and agent-readiness. Produces a structured report | — |
| 🧩 [**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` | — |
| 🔌 [**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.) | — |
| 🎭 [**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 | — |
| 📚 [**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 | — |
## Quick Start
### Step 1: Install Skills
**Universal Installer** (Recommended):
```bash
curl -sL skil.sh | sh -s -- voxel51/fiftyone-skills
```
Interactive prompts let you select skills, agents, and install scope (project or global).
Supported agents: Claude Code, Cursor, Codex, OpenCode, GitHub Copilot, Amp, Antigravity, Roo Code, Kilo Code, Goose
**Claude Code:**
```bash
# Register the skills marketplace
/plugin marketplace add voxel51/fiftyone-skills
# Install a skill
/plugin install fiftyone-find-duplicates@fiftyone-skills
```
**Gemini CLI:**
```bash
gemini extensions install https://github.com/voxel51/fiftyone-skills.git --consent
```
### Step 2: Use It
```
"Write a FiftyOne plugin that displays model confidence"
"Write Python code following FiftyOne conventions"
```
Your AI assistant will automatically load the skill instructions and execute the workflow.
### Step 3: Set Up MCP Server (Optional)
Skills 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.
```bash
pip install fiftyone-mcp-server
```
> **⚠️ 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.
Then configure your AI tool:
<details>
<summary><b>Claude Code</b> (Recommended)</summary>
```bash
claude mcp add fiftyone -- fiftyone-mcp
```
</details>
<details>
<summary><b>Claude Desktop</b></summary>
Edit `~/Library/Application Support/Claude/claude_desktop_config.json`:
```json
{
"mcpServers": {
"fiftyone": {
"command": "fiftyone-mcp"
}
}
}
```
</details>
<details>
<summary><b>Cursor</b></summary>
[](cursor://anysphere.cursor-deeplink/mcp/install?name=fiftyone&config=eyJjb21tYW5kIjoiZmlmdHlvbmUtbWNwIn0)
Add to `~/.cursor/mcp.json`:
```json
{
"mcpServers": {
"fiftyone": {
"command": "fiftyone-mcp"
}
}
}
```
</details>
<details>
<summary><b>VSCode</b></summary>
[](https://insiders.vscode.dev/redirect/mcp/install?name=fiftyone&config=%7B%22command%22%3A%22fiftyone-mcp%22%7D)
Add to `.vscode/mcp.json`:
```json
{
"servers": {
"fiftyone": {
"command": "fiftyone-mcp"
}
}
}
```
</details>
Once configured, you can use MCP-dependent skills:
```
"Find and remove duplicate images from my dataset"
"Import this COCO dataset and run object detection"
```
## Skill Structure
Each skill follows the [Agent Skills](https://agentskills.io) specification:
```
skills/
└── fiftyone-find-duplicates/
└── SKILL.md # Instructions for AI
```
**SKILL.md format:**
```markdown
---
name: skill-name
description: When to use this skill
---
# Overview
What this skill does
# Prerequisites
Required setup
# Key Directives
ALWAYS/NEVER rules for AI
# Workflow
Step-by-step instructions
# Troubleshooting
Common errors and solutions
```
## Contributing
We welcome contributions! Whether you want to add a new skill, improve an existing one, or help with integrations and tooling — there's a place for you here.
See **[CONTRIBUTING.md](CONTRIBUTING.md)** for the full guide, including skill structure requirements, the quality bar, and how to test your skill before submitting.
Looking 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.
## Feedback
Help us improve FiftyOne Skills!
**Just ask your AI assistant:**
```
"Help me submit feedback about [your issue]"
```
The 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)**
## Resources
| Resource | Description |
|----------|-------------|
| [FiftyOne Docs](https://docs.voxel51.com) | Official documentation |
| [FiftyOne MCP Server](https://github.com/voxel51/fiftyone-mcp-server) | MCP server for AI integration |
| [FiftyOne Plugins](https://github.com/voxel51/fiftyone-plugins) | Official plugin collection |
| [Agent Skills Spec](https://agentskills.io) | Skills format specification |
| [PyPI Package](https://pypi.org/project/fiftyone-mcp-server/) | MCP server on PyPI |
| [Discord Community](https://discord.gg/fiftyone-community) | Get help and share ideas |
## 🧡 Community
Join the FiftyOne community to get help, share your skills, and connect with other users:
- **Discord**: [FiftyOne Community](https://discord.gg/fiftyone-community)
- **GitHub Issues**: [Report bugs or request features](https://github.com/voxel51/fiftyone-skills/issues)
---
<div align="center">
Copyright 2017-2026, Voxel51, Inc. · [Apache 2.0 License](LICENSE)
</div>