Agent skill · Data & Analytics

fiftyone

FiftyOne dataset visualization and curation tool via Podman Quadlet. Multi-container architecture with MongoDB sidecar for dataset persistence. GPU-accelerated for ML workflows. Use when users need to configure, start, or manage FiftyOne for dataset analysis.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill fiftyone --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/ai-ml/fiftyone/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# FiftyOne - Dataset Visualization & Curation ## Overview The `fiftyone` command manages FiftyOne dataset visualization using Podman Quadlet containers. It includes a MongoDB sidecar for persistent dataset storage. **Key Concept:** FiftyOne runs as a multi-container application with a MongoDB sidecar. The main FiftyOne container handles the web UI and processing, while MongoDB stores dataset metadata. ## Quick Reference | Action | Command | Description | |--------|---------|-------------| | Config | `ujust fiftyone config [--port=...] [--bind=...]` | Configure instance | | Start | `ujust fiftyone start [--instance=N\|all]` | Start FiftyOne + MongoDB | | Stop | `ujust fiftyone stop [--instance=N\|all]` | Stop FiftyOne + MongoDB | | Restart | `ujust fiftyone restart [--instance=N\|all]` | Restart all containers | | Logs | `ujust fiftyone logs [--instance=N] [--lines=...]` | View interleaved logs | | Status | `ujust fiftyone status [--instance=N]` | Show status (all instances) | | URL | `ujust fiftyone url [--instance=N]` | Show access URL | | Shell | `ujust fiftyone shell [--instance=N] [-- CMD...]` | Open shell in container | | Plugins | `ujust fiftyone plugins [-- CMD...]` | Manage

What's inside
Steps it walks through
  1. Overview
  2. Quick Reference
  3. Parameters
  4. Configuration
  5. Update Existing Configuration
  6. Lifecycle Commands
  7. Start/Stop/Restart
  8. View Logs
  9. Get URL
  10. Shell Access
  11. Plugin Management
  12. Multi-Container Architecture
  13. Port Allocation
  14. GPU Support
Ships with 1 file
  • metadata.json
Commands it runs
Default configuration (port 5151, localhost only)
ujust fiftyone config
Custom port (long form)
ujust fiftyone config --port=5152
Custom port (short form)
ujust fiftyone config -p 5152
Network-wide access
ujust fiftyone config --bind=0.0.0.0
With workspace mount
ujust fiftyone config --workspace-dir=/data/datasets
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About this skill
What does the fiftyone skill do?

FiftyOne dataset visualization and curation tool via Podman Quadlet. Multi-container architecture with MongoDB sidecar for dataset persistence. GPU-accelerated for ML workflows. Use when users need to configure, start, or manage FiftyOne for dataset analysis.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill fiftyone --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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