[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71SH3N1MH5603AF5B08EZ9R":3,"skill-same:01M71SH3N1MH5603AF5B08EZ9R":64},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":13,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":49,"install":50,"resources":63},"01M71SH3N1MH5603AF5B08EZ9R","hugging-face-cli",null,"Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models\u002Fdatasets\u002Fspaces, upload files to Hub repositories, create repos, manage local cache, or run comput...","javiertarazon\u002Fide-agente-free-jt7-","javiertarazon","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F153141207?v=4","01M71R52TB3S9HXKH6WSNT8A7V","01M71R52VG5KS2DKDDH4GDQ30A",0,"MIT","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fhugging-face-cli\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"hugging face cli","hugging face","face","cli","upload","cache","repositories","use","manage","tree","repos","safe","run","hugging-face","create","needs","when","files","main","local","2026-11-10 13:02:02",false,"---\nname: hugging-face-cli\ndescription: \"Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models\u002Fdatasets\u002Fspaces, upload files to Hub repositories, create repos, manage local cache, or run comput...\"\nsource: \"https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Fskills\u002Ftree\u002Fmain\u002Fskills\u002Fhugging-face-cli\"\nrisk: safe\n---\n\n# Hugging Face CLI\n\nThe `hf` CLI provides direct terminal access to the Hugging Face Hub for downloading, uploading, and managing repositories, cache, and compute resources.\n\n## When to Use This Skill\n\nUse this skill when:\n- User needs to download models, datasets, or spaces\n- Uploading files to Hub repositories\n- Creating Hugging Face repositories\n- Managing local cache\n- Running compute jobs on HF infrastructure\n- Working with Hugging Face Hub authentication\n\n## Quick Command Reference\n\n| Task | Command |\n|------|---------|\n| Login | `hf auth login` |\n| Download model | `hf download \u003Crepo_id>` |\n| Download to folder | `hf download \u003Crepo_id> --local-dir .\u002Fpath` |\n| Upload folder | `hf upload \u003Crepo_id> . .` |\n| Create repo | `hf repo create \u003Cname>` |\n| Create tag | `hf repo tag create \u003Crepo_id> \u003Ctag>` |\n| Delete files | `hf repo-files delete \u003Crepo_id> \u003Cfiles>` |\n| List cache | `hf cache ls` |\n| Remove from cache | `hf cache rm \u003Crepo_or_revision>` |\n| List models | `hf models ls` |\n| Get model info | `hf models info \u003Cmodel_id>` |\n| List datasets | `hf datasets ls` |\n| Get dataset info | `hf datasets info \u003Cdataset_id>` |\n| List spaces | `hf spaces ls` |\n| Get space info | `hf spaces info \u003Cspace_id>` |\n| List endpoints | `hf endpoints ls` |\n| Run GPU job | `hf jobs run --flavor a10g-small \u003Cimage> \u003Ccmd>` |\n| Environment info | `hf env` |\n\n## Core Commands\n\n### Authentication\n```bash\nhf auth login                    # Interactive login\nhf auth login --token $HF_TOKEN  # Non-interactive\nhf auth whoami                   # Check current user\nhf auth list                     # List stored tokens\nhf auth switch                   # Switch between tokens\nhf auth logout                   # Log out\n```\n\n### Download\n```bash\nhf download \u003Crepo_id>                              # Full repo to cache\nhf download \u003Crepo_id> file.safetensors             # Specific file\nhf download \u003Crepo_id> --local-dir .\u002Fmodels         # To local directory\nhf download \u003Crepo_id> --include \"*.safetensors\"    # Filter by pattern\nhf download \u003Crepo_id> --repo-type dataset          # Dataset\nhf download \u003Crepo_id> --revision v1.0              # Specific version\n```\n\n### Upload\n```bash\nhf upload \u003Crepo_id> . .                            # Current dir to root\nhf upload \u003Crepo_id> .\u002Fmodels \u002Fweights              # Folder to path\nhf upload \u003Crepo_id> model.safetensors              # Single file\nhf upload \u003Crepo_id> . . --repo-type dataset        # Dataset\nhf upload \u003Crepo_id> . . --create-pr                # Create PR\nhf upload \u003Crepo_id> . . --commit-message=\"msg\"     # Custom message\n```\n\n### Repository Management\n```bash\nhf repo create \u003Cname>                              # Create model repo\nhf repo create \u003Cname> --repo-type dataset          # Create dataset\nhf repo create \u003Cname> --private                    # Private repo\nhf repo create \u003Cname> --repo-type space --space_sdk gradio  # Gradio space\nhf repo delete \u003Crepo_id>                           # Delete repo\nhf repo move \u003Cfrom_id> \u003Cto_id>                     # Move repo to new namespace\nhf repo settings \u003Crepo_id> --private true          # Update repo settings\nhf repo list --repo-type model                     # List repos\nhf repo branch create \u003Crepo_id> release-v1         # Create branch\nhf repo branch delete \u003Crepo_id> release-v1         # Delete branch\nhf repo tag create \u003Crepo_id> v1.0                  # Create tag\nhf repo tag list \u003Crepo_id>                         # List tags\nhf repo tag delete \u003Crepo_id> v1.0                  # Delete tag\n```\n\n### Delete Files from Repo\n```bash\nhf repo-files delete \u003Crepo_id> folder\u002F             # Delete folder\nhf repo-files delete \u003Crepo_id> \"*.txt\"             # Delete with pattern\n```\n\n### Cache Management\n```bash\nhf cache ls                      # List cached repos\nhf cache ls --revisions          # Include individual revisions\nhf cache rm model\u002Fgpt2           # Remove cached repo\nhf cache rm \u003Crevision_hash>      # Remove cached revision\nhf cache prune                   # Remove detached revisions\nhf cache verify gpt2             # Verify checksums from cache\n```\n\n### Browse Hub\n```bash\n# Models\nhf models ls                                        # List top trending models\nhf models ls --search \"MiniMax\" --author MiniMaxAI  # Search models\nhf models ls --filter \"text-generation\" --limit 20  # Filter by task\nhf models info MiniMaxAI\u002FMiniMax-M2.1               # Get model info\n\n# Datasets\nhf datasets ls                                      # List top trending datasets\nhf datasets ls --search \"finepdfs\" --sort downloads # Search datasets\nhf datasets info HuggingFaceFW\u002Ffinepdfs             # Get dataset info\n\n# Spaces\nhf spaces ls                                        # List top trending spaces\nhf spaces ls --filter \"3d\" --limit 10               # Filter by 3D modeling spaces\nhf spaces info enzostvs\u002Fdeepsite                    # Get space info\n```\n\n### Jobs (Cloud Compute)\n```bash\nhf jobs run python:3.12 python script.py           # Run on CPU\nhf jobs run --flavor a10g-small \u003Cimage> \u003Ccmd>      # Run on GPU\nhf jobs run --secrets HF_TOKEN \u003Cimage> \u003Ccmd>       # With HF token\nhf jobs ps                                         # List jobs\nhf jobs logs \u003Cjob_id>                              # View logs\nhf jobs cancel \u003Cjob_id>                            # Cancel job\n```\n\n### Inference Endpoints\n```bash\nhf endpoints ls                                     # List endpoints\nhf endpoints deploy my-endpoint \\\n  --repo openai\u002Fgpt-oss-120b \\\n  --framework vllm \\\n  --accelerator gpu \\\n  --instance-size x4 \\\n  --instance-type nvidia-a10g \\\n  --region us-east-1 \\\n  --vendor aws\nhf endpoints describe my-endpoint                   # Show endpoint details\nhf endpoints pause my-endpoint                      # Pause endpoint\nhf endpoints resume my-endpoint                     # Resume endpoint\nhf endpoints scale-to-zero my-endpoint              # Scale to zero\nhf endpoints delete my-endpoint --yes               # Delete endpoint\n```\n**GPU Flavors:** `cpu-basic`, `cpu-upgrade`, `cpu-xl`, `t4-small`, `t4-medium`, `l4x1`, `l4x4`, `l40sx1`, `l40sx4`, `l40sx8`, `a10g-small`, `a10g-large`, `a10g-largex2`, `a10g-largex4`, `a100-large`, `h100`, `h100x8`\n\n## Common Patterns\n\n### Download and Use Model Locally\n```bash\n# Download to local directory for deployment\nhf download meta-llama\u002FLlama-3.2-1B-Instruct --local-dir .\u002Fmodel\n\n# Or use cache and get path\nMODEL_PATH=$(hf download meta-llama\u002FLlama-3.2-1B-Instruct --quiet)\n```\n\n### Publish Model\u002FDataset\n```bash\nhf repo create my-username\u002Fmy-model --private\nhf upload my-username\u002Fmy-model .\u002Foutput . --commit-message=\"Initial release\"\nhf repo tag create my-username\u002Fmy-model v1.0\n```\n\n### Sync Space with Local\n```bash\nhf upload my-username\u002Fmy-space . . --repo-type space \\\n  --exclude=\"logs\u002F*\" --delete=\"*\" --commit-message=\"Sync\"\n```\n\n### Check Cache Usage\n```bash\nhf cache ls                      # See all cached repos and sizes\nhf cache rm model\u002Fgpt2           # Remove a repo from cache\n```\n\n## Key Options\n\n- `--repo-type`: `model` (default), `dataset`, `space`\n- `--revision`: Branch, tag, or commit hash\n- `--token`: Override authentication\n- `--quiet`: Output only essential info (paths\u002FURLs)\n\n## References\n\n- **Complete command reference**: See references\u002Fcommands.md\n- **Workflow examples**: See references\u002Fexamples.md\n","# Hugging Face CLI\n\nThe `hf` CLI provides direct terminal access to the Hugging Face Hub for downloading, uploading, and managing repositories, cache, and compute resources.\n\n## When to Use This Skill\n\nUse this skill when:\n- User needs to download models, datasets, or spaces\n- Uploading files to Hub repositories\n- Creating Hugging Face repositories\n- Managing local cache\n- Running compute jobs on HF infrastructure\n- Working with Hugging Face Hub authentication\n\n## Quick Command Reference\n\n| Task | Command |\n|------|---------|\n| Login | `hf auth login` |\n| Download model | `hf download \u003Crepo_id>` |\n| Download to folder | `hf download \u003Crepo_id> --local-dir .\u002Fpath` |\n| Upload folder | `hf upload \u003Crepo_id> . .` |\n| Create repo | `hf repo create \u003Cname>` |\n| Create tag | `hf repo tag create \u003Crepo_id> \u003Ctag>` |\n| Delete files | `hf repo-files delete \u003Crepo_id> \u003Cfiles>` |\n| List cache | `hf cache ls` |\n| Remove from cache | `hf cache rm \u003Crepo_or_revision>` |\n| List models | `hf models ls` |\n| Get model info | `hf models info \u003Cmodel_id>` |\n| List datasets | `hf datasets ls` |\n| Get dataset info | `hf datasets info \u003Cdataset_id>` |\n| List spaces | `hf spaces ls` |\n| Get space info | `hf spaces info \u003Cspace_id>` |\n| List endpoints | `hf endpoints ls` |\n| Run GPU job | `hf jobs run --flavor a10g-small \u003Cimage> \u003Ccmd>` |\n| Environment info | `hf env` |\n\n## Core Commands\n\n### Authentication\n```bash\nhf auth login                    # Interactive login\nhf auth login --token $HF_TOKEN  # Non-interactive\nhf auth whoami                   # Check current user\nhf auth list                     # List stored tokens\nhf auth switch                   # Switch between tokens\nhf auth logout                   # Log out\n```\n\n### Download\n```bash\nhf download \u003Crepo_id>                              # Full repo to cache\nhf download \u003Crepo_id> file.safetensors             # Specific file\nhf download \u003Crepo_id> --local-dir .\u002Fmodels         # To local directory\nhf download \u003Crepo_id> --include \"*.safetensors\"    # Filter by pattern\nhf download \u003Crepo_id> --repo-type dataset          # Dataset\nhf download \u003Crepo_id> --revision v1.0              # Specific version\n```\n\n### Upload\n```bash\nhf upload \u003Crepo_id> . .                            # Current dir to root\nhf upload \u003Crepo_id> .\u002Fmodels \u002Fweights              # Folder to path\nhf upload \u003Crepo_id> model.safetensors              # Single file\nhf upload \u003Crepo_id> . . --repo-type dataset        # Dataset\nhf upload \u003Crepo_id> . . --create-pr                # Create PR\nhf upload \u003Crepo_id> . . --commit-message=\"msg\"     # Custom message\n```\n\n### Repository Management\n```bash\nhf repo create \u003Cname>                              # Create model repo\nhf repo create \u003Cname> --repo-type dataset          # Create dataset\nhf repo create \u003Cname> --private                    # Private repo\nhf repo create \u003Cname> --repo-type space --space_sdk gradio  # Gradio space\nhf repo delete \u003Crepo_id>                           # Delete repo\nhf repo move \u003Cfrom_id> \u003Cto_id>                     # Move repo to new namespace\nhf repo settings \u003Crepo_id> --private true          # Update repo settings\nhf repo list --repo-type model                     # List repos\nhf repo branch create \u003Crepo_id> release-v1         # Create branch\nhf repo branch delete \u003Crepo_id> release-v1         # Delete branch\nhf repo tag create \u003Crepo_id> v1.0                  # Create tag\nhf repo tag list \u003Crepo_id>                         # List tags\nhf repo tag delete \u003Crepo_id> v1.0                  # Delete tag\n```\n\n### Delete Files from Repo\n```bash\nhf repo-files delete \u003Crepo_id> folder\u002F             # Delete folder\nhf repo-files delete \u003Crepo_id> \"*.txt\"             # Delete with pattern\n```\n\n### Cache Management\n```bash\nhf cache ls                      # List cached repos\nhf cache ls --revisions          # Include individual revisions\nhf cache rm model\u002Fgpt2           # Remove cached repo\nhf cache rm \u003Crevision_hash>      # Remove cached revision\nhf cache prune                   # Remove detached revisions\nhf cache verify gpt2             # Verify checksums from cache\n```\n\n### Browse Hub\n```bash\n# Models\nhf models ls                                        # List top trending models\nhf models ls --search \"MiniMax\" --author MiniMaxAI  # Search models\nhf models ls --filter \"text-generation\" --limit 20  # Filter by task\nhf models info MiniMaxAI\u002FMiniMax-M2.1               # Get model info\n\n# Datasets\nhf datasets ls                                      # List top trending datasets\nhf datasets ls --search \"finepdfs\" --sort downloads # Search datasets\nhf datasets info HuggingFaceFW\u002Ffinepdfs             # Get dataset info\n\n# Spaces\nhf spaces ls                                        # List top trending spaces\nhf spaces ls --filter \"3d\" --limit 10               # Filter by 3D modeling spaces\nhf spaces info enzostvs\u002Fdeepsite                    # Get space info\n```\n\n### Jobs (Cloud Compute)\n```bash\nhf jobs run python:3.12 python script.py           # Run on CPU\nhf jobs run --flavor a10g-small \u003Cimage> \u003Ccmd>      # Run on GPU\nhf jobs run --secrets HF_TOKEN \u003Cimage> \u003Ccmd>       # With HF token\nhf jobs ps                                         # List jobs\nhf jobs logs \u003Cjob_id>                              # View logs\nhf jobs cancel \u003Cjob_id>                            # Cancel job\n```\n\n### Inference Endpoints\n```bash\nhf endpoints ls                                     # List endpoints\nhf endpoints deploy my-endpoint \\\n  --repo openai\u002Fgpt-oss-120b \\\n  --framework vllm \\\n  --accelerator gpu \\\n  --instance-size x4 \\\n  --instance-type nvidia-a10g \\\n  --region us-east-1 \\\n  --vendor aws\nhf endpoints describe my-endpoint                   # Show endpoint details\nhf endpoints pause my-endpoint                      # Pause endpoint\nhf endpoints resume my-endpoint                     # Resume endpoint\nhf endpoints scale-to-zero my-endpoint              # Scale to zero\nhf endpoints delete my-endpoint --yes               # Delete endpoint\n```\n**GPU Flavors:** `cpu-basic`, `cpu-upgrade`, `cpu-xl`, `t4-small`, `t4-medium`, `l4x1`, `l4x4`, `l40sx1`, `l40sx4`, `l40sx8`, `a10g-small`, `a10g-large`, `a10g-largex2`, `a10g-largex4`, `a100-large`, `h100`, `h100x8`\n\n## Common Patterns\n\n### Download and Use Model Locally\n```bash\n# Download to local directory for deployment\nhf download meta-llama\u002FLlama-3.2-1B-Instruct --local-dir .\u002Fmodel\n\n# Or use cache and get path\nMODEL_PATH=$(hf download meta-llama\u002FLlama-3.2-1B-Instruct --quiet)\n```\n\n### Publish Model\u002FDataset\n```bash\nhf repo create my-username\u002Fmy-model --private\nhf upload my-username\u002Fmy-model .\u002Foutput . --commit-message=\"Initial release\"\nhf repo tag create my-username\u002Fmy-model v1.0\n```\n\n### Sync Space with Local\n```bash\nhf upload my-username\u002Fmy-space . . --repo-type space \\\n  --exclude=\"logs\u002F*\" --delete=\"*\" --commit-message=\"Sync\"\n```\n\n### Check Cache Usage\n```bash\nhf cache ls                      # See all cached repos and sizes\nhf cache rm model\u002Fgpt2           # Remove a repo from cache\n```\n\n## Key Options\n\n- `--repo-type`: `model` (default), `dataset`, `space`\n- `--revision`: Branch, tag, or commit hash\n- `--token`: Override authentication\n- `--quiet`: Output only essential info (paths\u002FURLs)\n\n## References\n\n- **Complete command reference**: See references\u002Fcommands.md\n- **Workflow examples**: See references\u002Fexamples.md\n",{"name":5,"risk":29,"source":43,"description":7},"https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Fskills\u002Ftree\u002Fmain\u002Fskills\u002Fhugging-face-cli","release\u002Fv4.2.11-panel-pro","a92ea02bcf7e2b3dbaf46d49696c29a3cb490d4f",".github\u002Fskills\u002Fhugging-face-cli","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-","https:\u002F\u002Fgithub.com\u002Fjaviertarazon","2026-07-12 07:10:45",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add javiertarazon\u002Fide-agente-free-jt7- --skill hugging-face-cli",{"tool":56,"command":57},"bunx","bunx skills add javiertarazon\u002Fide-agente-free-jt7- --skill hugging-face-cli",{"tool":59,"command":60},"pnpm","pnpm dlx skills add javiertarazon\u002Fide-agente-free-jt7- --skill hugging-face-cli","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fhugging-face-cli\u002FSKILL.md",true,[],[65,94,121,140,155,177],{"skillNo":66,"name":67,"nameZh":6,"description":68,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":69,"categories":70,"keywords":76,"publishedAt":38},"01M71TQ7Q6Z10VWF3C2H5X1KW9","zustand-store-ts","Create Zustand stores with TypeScript, subscribeWithSelector middleware, and proper state\u002Faction separation. 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