aetherbrowser-huggingface-nav
Navigate Hugging Face models, datasets, and spaces through AetherBrowser for research, validation, and publishing workflows. Use when inspecting repo cards, files, docs, and leaderboard surfaces in browser mode.
Best use case
aetherbrowser-huggingface-nav is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Navigate Hugging Face models, datasets, and spaces through AetherBrowser for research, validation, and publishing workflows. Use when inspecting repo cards, files, docs, and leaderboard surfaces in browser mode.
Teams using aetherbrowser-huggingface-nav should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/aetherbrowser-huggingface-nav/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How aetherbrowser-huggingface-nav Compares
| Feature / Agent | aetherbrowser-huggingface-nav | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Navigate Hugging Face models, datasets, and spaces through AetherBrowser for research, validation, and publishing workflows. Use when inspecting repo cards, files, docs, and leaderboard surfaces in browser mode.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# AetherBrowser Hugging Face Nav ## Workflow 1. Route to CLI-side research lane. - `python C:\Users\issda\SCBE-AETHERMOORE\scripts\system\browser_chain_dispatcher.py --domain huggingface.co --task navigate --engine playwriter` 2. Open target repository. - User: `https://huggingface.co/<user>` - Model: `https://huggingface.co/<user>/<model>` - Dataset: `https://huggingface.co/datasets/<user>/<dataset>` - Space: `https://huggingface.co/spaces/<user>/<space>` 3. Verify and capture context. - `python C:\Users\issda\SCBE-AETHERMOORE\scripts\system\playwriter_lane_runner.py --session 1 --task title` - `python C:\Users\issda\SCBE-AETHERMOORE\scripts\system\playwriter_lane_runner.py --session 1 --task snapshot` 4. Hand off to CLI/API as needed. - Use `hf` CLI for uploads/downloads after browser discovery. ## Rules - Use browser flow for discovery and validation. - Use API/CLI flow for repeatable state changes. - Preserve evidence in lane logs for reproducibility.
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