hf-cli Skill
Hugging Face Hub CLI (hf) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Published by huggingface in ai-deadlines.
Decision snapshot
Is this a fit?
Developers using ai-deadlines, Includes SKILL.md, Reusable instructions
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Copy skill directory
2 months ago · MIT license
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What is hf-cli Skill?
Hugging Face Hub CLI (hf) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Published by huggingface in ai-deadlines. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Developers using ai-deadlines
Declared skill metadata
- Source file: .agents/skills/hf-cli/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use hf-cli Skill
- Use it for developers using ai-deadlines.
Built with
Editorial notes
Source
- Creator: huggingface
- Repository: huggingface/ai-deadlines
- Skill file: .agents/skills/hf-cli/SKILL.md
What it does
Hugging Face Hub CLI (hf) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging
Skill instructions
Install: curl -LsSf https://hf.co/cli/install.sh | bash -s. The Hugging Face Hub CLI tool hf is available. IMPORTANT: The hf command replaces the deprecated huggingface-cli command. Use hf --help to view available functions. Note that auth commands are now all under hf auth e.g. hf auth whoami. Generated with huggingfacehub v1.13.0. Run hf skills add --force to regenerate. Commands - hf download REPOID — Download files from the Hub. [--type CHOICE --revision TEXT --include TEXT --exclude TEXT --cache-dir TEXT --local-dir TEXT --force-download --dry-run --max-workers INTEGER --format CHOICE] - hf env — Print information about the environment. [--format CHOICE] - hf sync — Sync files between local directory and a bucket. [--delete --ignore-times --ignore-sizes --plan TEXT --apply TEXT --dry-run --include TEXT --exclude TEXT --filter-from TEXT --existing --ignore-existing --verbose --format CHOICE] - hf update — Update the hf CLI to the latest version. [--format CHOICE] - hf upload REPOID
Verified compatibility and discovery
Frequently asked questions
What is hf-cli?
hf-cli is a open-source AI agent skill with Copy skill directory. Hugging Face Hub CLI (hf) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub.
Who is hf-cli best for?
hf-cli is best for reusing agent instructions, scripts, and references.
How do I install hf-cli?
Install or run hf-cli using Copy skill directory. Check hf-cli for the latest setup command.
Is hf-cli actively maintained?
hf-cli may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
