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Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"openai","OpenAI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fopenai.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"Hugging Face","hugging-face","tag",{"name":17,"slug":18,"type":15},"LLM","llm",{"name":20,"slug":21,"type":15},"Deployment","deployment",{"name":23,"slug":24,"type":15},"AI Infrastructure","ai-infrastructure",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-04-06T18:41:40.350106",null,465,[],{"repoUrl":26,"stars":25,"forks":29,"topics":32,"description":33},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fhugging-face\u002Fskills\u002Fjobs","---\nname: huggingface-jobs\ndescription: This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.\n---\n\n# Running Workloads on Hugging Face Jobs\n\n## Overview\n\nRun any workload on fully managed Hugging Face infrastructure. No local setup required—jobs run on cloud CPUs, GPUs, or TPUs and can persist results to the Hugging Face Hub.\n\n**Common use cases:**\n- **Data Processing** - Transform, filter, or analyze large datasets\n- **Batch Inference** - Run inference on thousands of samples\n- **Experiments & Benchmarks** - Reproducible ML experiments\n- **Model Training** - Fine-tune models (see `model-trainer` skill for TRL-specific training)\n- **Synthetic Data Generation** - Generate datasets using LLMs\n- **Development & Testing** - Test code without local GPU setup\n- **Scheduled Jobs** - Automate recurring tasks\n\n**For model training specifically:** See the `model-trainer` skill for TRL-based training workflows.\n\n## When to Use This Skill\n\nUse this skill when users want to:\n- Run Python workloads on cloud infrastructure\n- Execute jobs without local GPU\u002FTPU setup\n- Process data at scale\n- Run batch inference or experiments\n- Schedule recurring tasks\n- Use GPUs\u002FTPUs for any workload\n- Persist results to the Hugging Face Hub\n\n## Key Directives\n\nWhen assisting with jobs:\n\n1. **ALWAYS use `hf_jobs()` MCP tool** - Submit jobs using `hf_jobs(\"uv\", {...})` or `hf_jobs(\"run\", {...})`. The `script` parameter accepts Python code directly. Do NOT save to local files unless the user explicitly requests it. Pass the script content as a string to `hf_jobs()`.\n\n2. **Always handle authentication** - Jobs that interact with the Hub require `HF_TOKEN` via secrets. See Token Usage section below.\n\n3. **Provide job details after submission** - After submitting, provide job ID, monitoring URL, estimated time, and note that the user can request status checks later.\n\n4. **Set appropriate timeouts** - Default 30min may be insufficient for long-running tasks.\n\n## Prerequisites Checklist\n\nBefore starting any job, verify:\n\n### ✅ **Account & Authentication**\n- Hugging Face Account with [Pro](https:\u002F\u002Fhf.co\u002Fpro), [Team](https:\u002F\u002Fhf.co\u002Fenterprise), or [Enterprise](https:\u002F\u002Fhf.co\u002Fenterprise) plan (Jobs require paid plan)\n- Authenticated login: Check with `hf_whoami()`\n- **HF_TOKEN for Hub Access** ⚠️ CRITICAL - Required for any Hub operations (push models\u002Fdatasets, download private repos, etc.)\n- Token must have appropriate permissions (read for downloads, write for uploads)\n\n### ✅ **Token Usage** (See Token Usage section for details)\n\n**When tokens are required:**\n- Pushing models\u002Fdatasets to Hub\n- Accessing private repositories\n- Using Hub APIs in scripts\n- Any authenticated Hub operations\n\n**How to provide tokens:**\n```python\n# hf_jobs MCP tool — $HF_TOKEN is auto-replaced with real token:\n{\"secrets\": {\"HF_TOKEN\": \"$HF_TOKEN\"}}\n\n# HfApi().run_uv_job() — MUST pass actual token:\nfrom huggingface_hub import get_token\nsecrets={\"HF_TOKEN\": get_token()}\n```\n\n**⚠️ CRITICAL:** The `$HF_TOKEN` placeholder is ONLY auto-replaced by the `hf_jobs` MCP tool. When using `HfApi().run_uv_job()`, you MUST pass the real token via `get_token()`. Passing the literal string `\"$HF_TOKEN\"` results in a 9-character invalid token and 401 errors.\n\n## Token Usage Guide\n\n### Understanding Tokens\n\n**What are HF Tokens?**\n- Authentication credentials for Hugging Face Hub\n- Required for authenticated operations (push, private repos, API access)\n- Stored securely on your machine after `hf auth login`\n\n**Token Types:**\n- **Read Token** - Can download models\u002Fdatasets, read private repos\n- **Write Token** - Can push models\u002Fdatasets, create repos, modify content\n- **Organization Token** - Can act on behalf of an organization\n\n### When Tokens Are Required\n\n**Always Required:**\n- Pushing models\u002Fdatasets to Hub\n- Accessing private repositories\n- Creating new repositories\n- Modifying existing repositories\n- Using Hub APIs programmatically\n\n**Not Required:**\n- Downloading public models\u002Fdatasets\n- Running jobs that don't interact with Hub\n- Reading public repository information\n\n### How to Provide Tokens to Jobs\n\n#### Method 1: Automatic Token (Recommended)\n\n```python\nhf_jobs(\"uv\", {\n    \"script\": \"your_script.py\",\n    \"secrets\": {\"HF_TOKEN\": \"$HF_TOKEN\"}  # ✅ Automatic replacement\n})\n```\n\n**How it works:**\n- `$HF_TOKEN` is a placeholder that gets replaced with your actual token\n- Uses the token from your logged-in session (`hf auth login`)\n- Most secure and convenient method\n- Token is encrypted server-side when passed as a secret\n\n**Benefits:**\n- No token exposure in code\n- Uses your current login session\n- Automatically updated if you re-login\n- Works seamlessly with MCP tools\n\n#### Method 2: Explicit Token (Not Recommended)\n\n```python\nhf_jobs(\"uv\", {\n    \"script\": \"your_script.py\",\n    \"secrets\": {\"HF_TOKEN\": \"hf_abc123...\"}  # ⚠️ Hardcoded token\n})\n```\n\n**When to use:**\n- Only if automatic token doesn't work\n- Testing with a specific token\n- Organization tokens (use with caution)\n\n**Security concerns:**\n- Token visible in code\u002Flogs\n- Must manually update if token rotates\n- Risk of token exposure\n\n#### Method 3: Environment Variable (Less Secure)\n\n```python\nhf_jobs(\"uv\", {\n    \"script\": \"your_script.py\",\n    \"env\": {\"HF_TOKEN\": \"hf_abc123...\"}  # ⚠️ Less secure than secrets\n})\n```\n\n**Difference from secrets:**\n- `env` variables are visible in job logs\n- `secrets` are encrypted server-side\n- Always prefer `secrets` for tokens\n\n### Using Tokens in Scripts\n\n**In your Python script, tokens are available as environment variables:**\n\n```python\n# \u002F\u002F\u002F script\n# dependencies = [\"huggingface-hub\"]\n# \u002F\u002F\u002F\n\nimport os\nfrom huggingface_hub import HfApi\n\n# Token is automatically available if passed via secrets\ntoken = os.environ.get(\"HF_TOKEN\")\n\n# Use with Hub API\napi = HfApi(token=token)\n\n# Or let huggingface_hub auto-detect\napi = HfApi()  # Automatically uses HF_TOKEN env var\n```\n\n**Best practices:**\n- Don't hardcode tokens in scripts\n- Use `os.environ.get(\"HF_TOKEN\")` to access\n- Let `huggingface_hub` auto-detect when possible\n- Verify token exists before Hub operations\n\n### Token Verification\n\n**Check if you're logged in:**\n```python\nfrom huggingface_hub import whoami\nuser_info = whoami()  # Returns your username if authenticated\n```\n\n**Verify token in job:**\n```python\nimport os\nassert \"HF_TOKEN\" in os.environ, \"HF_TOKEN not found!\"\ntoken = os.environ[\"HF_TOKEN\"]\nprint(f\"Token starts with: {token[:7]}...\")  # Should start with \"hf_\"\n```\n\n### Common Token Issues\n\n**Error: 401 Unauthorized**\n- **Cause:** Token missing or invalid\n- **Fix:** Add `secrets={\"HF_TOKEN\": \"$HF_TOKEN\"}` to job config\n- **Verify:** Check `hf_whoami()` works locally\n\n**Error: 403 Forbidden**\n- **Cause:** Token lacks required permissions\n- **Fix:** Ensure token has write permissions for push operations\n- **Check:** Token type at https:\u002F\u002Fhuggingface.co\u002Fsettings\u002Ftokens\n\n**Error: Token not found in environment**\n- **Cause:** `secrets` not passed or wrong key name\n- **Fix:** Use `secrets={\"HF_TOKEN\": \"$HF_TOKEN\"}` (not `env`)\n- **Verify:** Script checks `os.environ.get(\"HF_TOKEN\")`\n\n**Error: Repository access denied**\n- **Cause:** Token doesn't have access to private repo\n- **Fix:** Use token from account with access\n- **Check:** Verify repo visibility and your permissions\n\n### Token Security Best Practices\n\n1. **Never commit tokens** - Use `$HF_TOKEN` placeholder or environment variables\n2. **Use secrets, not env** - Secrets are encrypted server-side\n3. **Rotate tokens regularly** - Generate new tokens periodically\n4. **Use minimal permissions** - Create tokens with only needed permissions\n5. **Don't share tokens** - Each user should use their own token\n6. **Monitor token usage** - Check token activity in Hub settings\n\n### Complete Token Example\n\n```python\n# Example: Push results to Hub\nhf_jobs(\"uv\", {\n    \"script\": \"\"\"\n# \u002F\u002F\u002F script\n# dependencies = [\"huggingface-hub\", \"datasets\"]\n# \u002F\u002F\u002F\n\nimport os\nfrom huggingface_hub import HfApi\nfrom datasets import Dataset\n\n# Verify token is available\nassert \"HF_TOKEN\" in os.environ, \"HF_TOKEN required!\"\n\n# Use token for Hub operations\napi = HfApi(token=os.environ[\"HF_TOKEN\"])\n\n# Create and push dataset\ndata = {\"text\": [\"Hello\", \"World\"]}\ndataset = Dataset.from_dict(data)\ndataset.push_to_hub(\"username\u002Fmy-dataset\", token=os.environ[\"HF_TOKEN\"])\n\nprint(\"✅ Dataset pushed successfully!\")\n\"\"\",\n    \"flavor\": \"cpu-basic\",\n    \"timeout\": \"30m\",\n    \"secrets\": {\"HF_TOKEN\": \"$HF_TOKEN\"}  # ✅ Token provided securely\n})\n```\n\n## Quick Start: Two Approaches\n\n### Approach 1: UV Scripts (Recommended)\n\nUV scripts use PEP 723 inline dependencies for clean, self-contained workloads.\n\n**MCP Tool:**\n```python\nhf_jobs(\"uv\", {\n    \"script\": \"\"\"\n# \u002F\u002F\u002F script\n# dependencies = [\"transformers\", \"torch\"]\n# \u002F\u002F\u002F\n\nfrom transformers import pipeline\nimport torch\n\n# Your workload here\nclassifier = pipeline(\"sentiment-analysis\")\nresult = classifier(\"I love Hugging Face!\")\nprint(result)\n\"\"\",\n    \"flavor\": \"cpu-basic\",\n    \"timeout\": \"30m\"\n})\n```\n\n**CLI Equivalent:**\n```bash\nhf jobs uv run my_script.py --flavor cpu-basic --timeout 30m\n```\n\n**Python API:**\n```python\nfrom huggingface_hub import run_uv_job\nrun_uv_job(\"my_script.py\", flavor=\"cpu-basic\", timeout=\"30m\")\n```\n\n**Benefits:** Direct MCP tool usage, clean code, dependencies declared inline, no file saving required\n\n**When to use:** Default choice for all workloads, custom logic, any scenario requiring `hf_jobs()`\n\n#### Custom Docker Images for UV Scripts\n\nBy default, UV scripts use `ghcr.io\u002Fastral-sh\u002Fuv:python3.12-bookworm-slim`. For ML workloads with complex dependencies, use pre-built images:\n\n```python\nhf_jobs(\"uv\", {\n    \"script\": \"inference.py\",\n    \"image\": \"vllm\u002Fvllm-openai:latest\",  # Pre-built image with vLLM\n    \"flavor\": \"a10g-large\"\n})\n```\n\n**CLI:**\n```bash\nhf jobs uv run --image vllm\u002Fvllm-openai:latest --flavor a10g-large inference.py\n```\n\n**Benefits:** Faster startup, pre-installed dependencies, optimized for specific frameworks\n\n#### Python Version\n\nBy default, UV scripts use Python 3.12. Specify a different version:\n\n```python\nhf_jobs(\"uv\", {\n    \"script\": \"my_script.py\",\n    \"python\": \"3.11\",  # Use Python 3.11\n    \"flavor\": \"cpu-basic\"\n})\n```\n\n**Python API:**\n```python\nfrom huggingface_hub import run_uv_job\nrun_uv_job(\"my_script.py\", python=\"3.11\")\n```\n\n#### Working with Scripts\n\n⚠️ **Important:** There are *two* \"script path\" stories depending on how you run Jobs:\n\n- **Using the `hf_jobs()` MCP tool (recommended in this repo)**: the `script` value must be **inline code** (a string) or a **URL**. A local filesystem path (like `\".\u002Fscripts\u002Ffoo.py\"`) won't exist inside the remote container.\n- **Using the `hf jobs uv run` CLI**: local file paths **do work** (the CLI uploads your script).\n\n**Common mistake with `hf_jobs()` MCP tool:**\n\n```python\n# ❌ Will fail (remote container can't see your local path)\nhf_jobs(\"uv\", {\"script\": \".\u002Fscripts\u002Ffoo.py\"})\n```\n\n**Correct patterns with `hf_jobs()` MCP tool:**\n\n```python\n# ✅ Inline: read the local script file and pass its *contents*\nfrom pathlib import Path\nscript = Path(\"jobs\u002Fscripts\u002Ffoo.py\").read_text()\nhf_jobs(\"uv\", {\"script\": script})\n\n# ✅ URL: host the script somewhere reachable\nhf_jobs(\"uv\", {\"script\": \"https:\u002F\u002Fhuggingface.co\u002Fdatasets\u002Fuv-scripts\u002F...\u002Fraw\u002Fmain\u002Ffoo.py\"})\n\n# ✅ URL from GitHub\nhf_jobs(\"uv\", {\"script\": \"https:\u002F\u002Fraw.githubusercontent.com\u002Fhuggingface\u002Ftrl\u002Fmain\u002Ftrl\u002Fscripts\u002Fsft.py\"})\n```\n\n**CLI equivalent (local paths supported):**\n\n```bash\nhf jobs uv run .\u002Fscripts\u002Ffoo.py -- --your --args\n```\n\n#### Adding Dependencies at Runtime\n\nAdd extra dependencies beyond what's in the PEP 723 header:\n\n```python\nhf_jobs(\"uv\", {\n    \"script\": \"inference.py\",\n    \"dependencies\": [\"transformers\", \"torch>=2.0\"],  # Extra deps\n    \"flavor\": \"a10g-small\"\n})\n```\n\n**Python API:**\n```python\nfrom huggingface_hub import run_uv_job\nrun_uv_job(\"inference.py\", dependencies=[\"transformers\", \"torch>=2.0\"])\n```\n\n### Approach 2: Docker-Based Jobs\n\nRun jobs with custom Docker images and commands.\n\n**MCP Tool:**\n```python\nhf_jobs(\"run\", {\n    \"image\": \"python:3.12\",\n    \"command\": [\"python\", \"-c\", \"print('Hello from HF Jobs!')\"],\n    \"flavor\": \"cpu-basic\",\n    \"timeout\": \"30m\"\n})\n```\n\n**CLI Equivalent:**\n```bash\nhf jobs run python:3.12 python -c \"print('Hello from HF Jobs!')\"\n```\n\n**Python API:**\n```python\nfrom huggingface_hub import run_job\nrun_job(image=\"python:3.12\", command=[\"python\", \"-c\", \"print('Hello!')\"], flavor=\"cpu-basic\")\n```\n\n**Benefits:** Full Docker control, use pre-built images, run any command\n**When to use:** Need specific Docker images, non-Python workloads, complex environments\n\n**Example with GPU:**\n```python\nhf_jobs(\"run\", {\n    \"image\": \"pytorch\u002Fpytorch:2.6.0-cuda12.4-cudnn9-devel\",\n    \"command\": [\"python\", \"-c\", \"import torch; print(torch.cuda.get_device_name())\"],\n    \"flavor\": \"a10g-small\",\n    \"timeout\": \"1h\"\n})\n```\n\n**Using Hugging Face Spaces as Images:**\n\nYou can use Docker images from HF Spaces:\n```python\nhf_jobs(\"run\", {\n    \"image\": \"hf.co\u002Fspaces\u002Flhoestq\u002Fduckdb\",  # Space as Docker image\n    \"command\": [\"duckdb\", \"-c\", \"SELECT 'Hello from DuckDB!'\"],\n    \"flavor\": \"cpu-basic\"\n})\n```\n\n**CLI:**\n```bash\nhf jobs run hf.co\u002Fspaces\u002Flhoestq\u002Fduckdb duckdb -c \"SELECT 'Hello!'\"\n```\n\n### Finding More UV Scripts on Hub\n\nThe `uv-scripts` organization provides ready-to-use UV scripts stored as datasets on Hugging Face Hub:\n\n```python\n# Discover available UV script collections\ndataset_search({\"author\": \"uv-scripts\", \"sort\": \"downloads\", \"limit\": 20})\n\n# Explore a specific collection\nhub_repo_details([\"uv-scripts\u002Fclassification\"], repo_type=\"dataset\", include_readme=True)\n```\n\n**Popular collections:** OCR, classification, synthetic-data, vLLM, dataset-creation\n\n## Hardware Selection\n\n> **Reference:** [HF Jobs Hardware Docs](https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhub\u002Fen\u002Fspaces-config-reference) (updated 07\u002F2025)\n\n| Workload Type | Recommended Hardware | Use Case |\n|---------------|---------------------|----------|\n| Data processing, testing | `cpu-basic`, `cpu-upgrade` | Lightweight tasks |\n| Small models, demos | `t4-small` | \u003C1B models, quick tests |\n| Medium models | `t4-medium`, `l4x1` | 1-7B models |\n| Large models, production | `a10g-small`, `a10g-large` | 7-13B models |\n| Very large models | `a100-large` | 13B+ models |\n| Batch inference | `a10g-large`, `a100-large` | High-throughput |\n| Multi-GPU workloads | `l4x4`, `a10g-largex2`, `a10g-largex4` | Parallel\u002Flarge models |\n| TPU workloads | `v5e-1x1`, `v5e-2x2`, `v5e-2x4` | JAX\u002FFlax, TPU-optimized |\n\n**All Available Flavors:**\n- **CPU:** `cpu-basic`, `cpu-upgrade`\n- **GPU:** `t4-small`, `t4-medium`, `l4x1`, `l4x4`, `a10g-small`, `a10g-large`, `a10g-largex2`, `a10g-largex4`, `a100-large`\n- **TPU:** `v5e-1x1`, `v5e-2x2`, `v5e-2x4`\n\n**Guidelines:**\n- Start with smaller hardware for testing\n- Scale up based on actual needs\n- Use multi-GPU for parallel workloads or large models\n- Use TPUs for JAX\u002FFlax workloads\n- See `references\u002Fhardware_guide.md` for detailed specifications\n\n## Critical: Saving Results\n\n**⚠️ EPHEMERAL ENVIRONMENT—MUST PERSIST RESULTS**\n\nThe Jobs environment is temporary. All files are deleted when the job ends. If results aren't persisted, **ALL WORK IS LOST**.\n\n### Persistence Options\n\n**1. Push to Hugging Face Hub (Recommended)**\n\n```python\n# Push models\nmodel.push_to_hub(\"username\u002Fmodel-name\", token=os.environ[\"HF_TOKEN\"])\n\n# Push datasets\ndataset.push_to_hub(\"username\u002Fdataset-name\", token=os.environ[\"HF_TOKEN\"])\n\n# Push artifacts\napi.upload_file(\n    path_or_fileobj=\"results.json\",\n    path_in_repo=\"results.json\",\n    repo_id=\"username\u002Fresults\",\n    token=os.environ[\"HF_TOKEN\"]\n)\n```\n\n**2. Use External Storage**\n\n```python\n# Upload to S3, GCS, etc.\nimport boto3\ns3 = boto3.client('s3')\ns3.upload_file('results.json', 'my-bucket', 'results.json')\n```\n\n**3. Send Results via API**\n\n```python\n# POST results to your API\nimport requests\nrequests.post(\"https:\u002F\u002Fyour-api.com\u002Fresults\", json=results)\n```\n\n### Required Configuration for Hub Push\n\n**In job submission:**\n```python\n# hf_jobs MCP tool:\n{\"secrets\": {\"HF_TOKEN\": \"$HF_TOKEN\"}}  # auto-replaced\n\n# HfApi().run_uv_job():\nfrom huggingface_hub import get_token\nsecrets={\"HF_TOKEN\": get_token()}  # must pass real token\n```\n\n**In script:**\n```python\nimport os\nfrom huggingface_hub import HfApi\n\n# Token automatically available from secrets\napi = HfApi(token=os.environ.get(\"HF_TOKEN\"))\n\n# Push your results\napi.upload_file(...)\n```\n\n### Verification Checklist\n\nBefore submitting:\n- [ ] Results persistence method chosen\n- [ ] Token in secrets if using Hub (MCP: `\"$HF_TOKEN\"`, Python API: `get_token()`)\n- [ ] Script handles missing token gracefully\n- [ ] Test persistence path works\n\n**See:** `references\u002Fhub_saving.md` for detailed Hub persistence guide\n\n## Timeout Management\n\n**⚠️ DEFAULT: 30 MINUTES**\n\nJobs automatically stop after the timeout. For long-running tasks like training, always set a custom timeout.\n\n### Setting Timeouts\n\n**MCP Tool:**\n```python\n{\n    \"timeout\": \"2h\"   # 2 hours\n}\n```\n\n**Supported formats:**\n- Integer\u002Ffloat: seconds (e.g., `300` = 5 minutes)\n- String with suffix: `\"5m\"` (minutes), `\"2h\"` (hours), `\"1d\"` (days)\n- Examples: `\"90m\"`, `\"2h\"`, `\"1.5h\"`, `300`, `\"1d\"`\n\n**Python API:**\n```python\nfrom huggingface_hub import run_job, run_uv_job\n\nrun_job(image=\"python:3.12\", command=[...], timeout=\"2h\")\nrun_uv_job(\"script.py\", timeout=7200)  # 2 hours in seconds\n```\n\n### Timeout Guidelines\n\n| Scenario | Recommended | Notes |\n|----------|-------------|-------|\n| Quick test | 10-30 min | Verify setup |\n| Data processing | 1-2 hours | Depends on data size |\n| Batch inference | 2-4 hours | Large batches |\n| Experiments | 4-8 hours | Multiple runs |\n| Long-running | 8-24 hours | Production workloads |\n\n**Always add 20-30% buffer** for setup, network delays, and cleanup.\n\n**On timeout:** Job killed immediately, all unsaved progress lost\n\n## Cost Estimation\n\n**General guidelines:**\n\n```\nTotal Cost = (Hours of runtime) × (Cost per hour)\n```\n\n**Example calculations:**\n\n**Quick test:**\n- Hardware: cpu-basic ($0.10\u002Fhour)\n- Time: 15 minutes (0.25 hours)\n- Cost: $0.03\n\n**Data processing:**\n- Hardware: l4x1 ($2.50\u002Fhour)\n- Time: 2 hours\n- Cost: $5.00\n\n**Batch inference:**\n- Hardware: a10g-large ($5\u002Fhour)\n- Time: 4 hours\n- Cost: $20.00\n\n**Cost optimization tips:**\n1. Start small - Test on cpu-basic or t4-small\n2. Monitor runtime - Set appropriate timeouts\n3. Use checkpoints - Resume if job fails\n4. Optimize code - Reduce unnecessary compute\n5. Choose right hardware - Don't over-provision\n\n## Monitoring and Tracking\n\n### Check Job Status\n\n**MCP Tool:**\n```python\n# List all jobs\nhf_jobs(\"ps\")\n\n# Inspect specific job\nhf_jobs(\"inspect\", {\"job_id\": \"your-job-id\"})\n\n# View logs\nhf_jobs(\"logs\", {\"job_id\": \"your-job-id\"})\n\n# Cancel a job\nhf_jobs(\"cancel\", {\"job_id\": \"your-job-id\"})\n```\n\n**Python API:**\n```python\nfrom huggingface_hub import list_jobs, inspect_job, fetch_job_logs, cancel_job\n\n# List your jobs\njobs = list_jobs()\n\n# List running jobs only\nrunning = [j for j in list_jobs() if j.status.stage == \"RUNNING\"]\n\n# Inspect specific job\njob_info = inspect_job(job_id=\"your-job-id\")\n\n# View logs\nfor log in fetch_job_logs(job_id=\"your-job-id\"):\n    print(log)\n\n# Cancel a job\ncancel_job(job_id=\"your-job-id\")\n```\n\n**CLI:**\n```bash\nhf jobs ps                    # List jobs\nhf jobs logs \u003Cjob-id>         # View logs\nhf jobs cancel \u003Cjob-id>       # Cancel job\n```\n\n**Remember:** Wait for user to request status checks. Avoid polling repeatedly.\n\n### Job URLs\n\nAfter submission, jobs have monitoring URLs:\n```\nhttps:\u002F\u002Fhuggingface.co\u002Fjobs\u002Fusername\u002Fjob-id\n```\n\nView logs, status, and details in the browser.\n\n### Wait for Multiple Jobs\n\n```python\nimport time\nfrom huggingface_hub import inspect_job, run_job\n\n# Run multiple jobs\njobs = [run_job(image=img, command=cmd) for img, cmd in workloads]\n\n# Wait for all to complete\nfor job in jobs:\n    while inspect_job(job_id=job.id).status.stage not in (\"COMPLETED\", \"ERROR\"):\n        time.sleep(10)\n```\n\n## Scheduled Jobs\n\nRun jobs on a schedule using CRON expressions or predefined schedules.\n\n**MCP Tool:**\n```python\n# Schedule a UV script that runs every hour\nhf_jobs(\"scheduled uv\", {\n    \"script\": \"your_script.py\",\n    \"schedule\": \"@hourly\",\n    \"flavor\": \"cpu-basic\"\n})\n\n# Schedule with CRON syntax\nhf_jobs(\"scheduled uv\", {\n    \"script\": \"your_script.py\",\n    \"schedule\": \"0 9 * * 1\",  # 9 AM every Monday\n    \"flavor\": \"cpu-basic\"\n})\n\n# Schedule a Docker-based job\nhf_jobs(\"scheduled run\", {\n    \"image\": \"python:3.12\",\n    \"command\": [\"python\", \"-c\", \"print('Scheduled!')\"],\n    \"schedule\": \"@daily\",\n    \"flavor\": \"cpu-basic\"\n})\n```\n\n**Python API:**\n```python\nfrom huggingface_hub import create_scheduled_job, create_scheduled_uv_job\n\n# Schedule a Docker job\ncreate_scheduled_job(\n    image=\"python:3.12\",\n    command=[\"python\", \"-c\", \"print('Running on schedule!')\"],\n    schedule=\"@hourly\"\n)\n\n# Schedule a UV script\ncreate_scheduled_uv_job(\"my_script.py\", schedule=\"@daily\", flavor=\"cpu-basic\")\n\n# Schedule with GPU\ncreate_scheduled_uv_job(\n    \"ml_inference.py\",\n    schedule=\"0 *\u002F6 * * *\",  # Every 6 hours\n    flavor=\"a10g-small\"\n)\n```\n\n**Available schedules:**\n- `@annually`, `@yearly` - Once per year\n- `@monthly` - Once per month\n- `@weekly` - Once per week\n- `@daily` - Once per day\n- `@hourly` - Once per hour\n- CRON expression - Custom schedule (e.g., `\"*\u002F5 * * * *\"` for every 5 minutes)\n\n**Manage scheduled jobs:**\n```python\n# MCP Tool\nhf_jobs(\"scheduled ps\")                              # List scheduled jobs\nhf_jobs(\"scheduled inspect\", {\"job_id\": \"...\"})     # Inspect details\nhf_jobs(\"scheduled suspend\", {\"job_id\": \"...\"})     # Pause\nhf_jobs(\"scheduled resume\", {\"job_id\": \"...\"})      # Resume\nhf_jobs(\"scheduled delete\", {\"job_id\": \"...\"})      # Delete\n```\n\n**Python API for management:**\n```python\nfrom huggingface_hub import (\n    list_scheduled_jobs,\n    inspect_scheduled_job,\n    suspend_scheduled_job,\n    resume_scheduled_job,\n    delete_scheduled_job\n)\n\n# List all scheduled jobs\nscheduled = list_scheduled_jobs()\n\n# Inspect a scheduled job\ninfo = inspect_scheduled_job(scheduled_job_id)\n\n# Suspend (pause) a scheduled job\nsuspend_scheduled_job(scheduled_job_id)\n\n# Resume a scheduled job\nresume_scheduled_job(scheduled_job_id)\n\n# Delete a scheduled job\ndelete_scheduled_job(scheduled_job_id)\n```\n\n## Webhooks: Trigger Jobs on Events\n\nTrigger jobs automatically when changes happen in Hugging Face repositories.\n\n**Python API:**\n```python\nfrom huggingface_hub import create_webhook\n\n# Create webhook that triggers a job when a repo changes\nwebhook = create_webhook(\n    job_id=job.id,\n    watched=[\n        {\"type\": \"user\", \"name\": \"your-username\"},\n        {\"type\": \"org\", \"name\": \"your-org-name\"}\n    ],\n    domains=[\"repo\", \"discussion\"],\n    secret=\"your-secret\"\n)\n```\n\n**How it works:**\n1. Webhook listens for changes in watched repositories\n2. When triggered, the job runs with `WEBHOOK_PAYLOAD` environment variable\n3. Your script can parse the payload to understand what changed\n\n**Use cases:**\n- Auto-process new datasets when uploaded\n- Trigger inference when models are updated\n- Run tests when code changes\n- Generate reports on repository activity\n\n**Access webhook payload in script:**\n```python\nimport os\nimport json\n\npayload = json.loads(os.environ.get(\"WEBHOOK_PAYLOAD\", \"{}\"))\nprint(f\"Event type: {payload.get('event', {}).get('action')}\")\n```\n\nSee [Webhooks Documentation](https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhuggingface_hub\u002Fguides\u002Fwebhooks) for more details.\n\n## Common Workload Patterns\n\nThis repository ships ready-to-run UV scripts in `jobs\u002Fscripts\u002F`. Prefer using them instead of inventing new templates.\n\n### Pattern 1: Dataset → Model Responses (vLLM) — `scripts\u002Fgenerate-responses.py`\n\n**What it does:** loads a Hub dataset (chat `messages` or a `prompt` column), applies a model chat template, generates responses with vLLM, and **pushes** the output dataset + dataset card back to the Hub.\n\n**Requires:** GPU + **write** token (it pushes a dataset).\n\n```python\nfrom pathlib import Path\n\nscript = Path(\"jobs\u002Fscripts\u002Fgenerate-responses.py\").read_text()\nhf_jobs(\"uv\", {\n    \"script\": script,\n    \"script_args\": [\n        \"username\u002Finput-dataset\",\n        \"username\u002Foutput-dataset\",\n        \"--messages-column\", \"messages\",\n        \"--model-id\", \"Qwen\u002FQwen3-30B-A3B-Instruct-2507\",\n        \"--temperature\", \"0.7\",\n        \"--top-p\", \"0.8\",\n        \"--max-tokens\", \"2048\",\n    ],\n    \"flavor\": \"a10g-large\",\n    \"timeout\": \"4h\",\n    \"secrets\": {\"HF_TOKEN\": \"$HF_TOKEN\"},\n})\n```\n\n### Pattern 2: CoT Self-Instruct Synthetic Data — `scripts\u002Fcot-self-instruct.py`\n\n**What it does:** generates synthetic prompts\u002Fanswers via CoT Self-Instruct, optionally filters outputs (answer-consistency \u002F RIP), then **pushes** the generated dataset + dataset card to the Hub.\n\n**Requires:** GPU + **write** token (it pushes a dataset).\n\n```python\nfrom pathlib import Path\n\nscript = Path(\"jobs\u002Fscripts\u002Fcot-self-instruct.py\").read_text()\nhf_jobs(\"uv\", {\n    \"script\": script,\n    \"script_args\": [\n        \"--seed-dataset\", \"davanstrien\u002Fs1k-reasoning\",\n        \"--output-dataset\", \"username\u002Fsynthetic-math\",\n        \"--task-type\", \"reasoning\",\n        \"--num-samples\", \"5000\",\n        \"--filter-method\", \"answer-consistency\",\n    ],\n    \"flavor\": \"l4x4\",\n    \"timeout\": \"8h\",\n    \"secrets\": {\"HF_TOKEN\": \"$HF_TOKEN\"},\n})\n```\n\n### Pattern 3: Streaming Dataset Stats (Polars + HF Hub) — `scripts\u002Ffinepdfs-stats.py`\n\n**What it does:** scans parquet directly from Hub (no 300GB download), computes temporal stats, and (optionally) uploads results to a Hub dataset repo.\n\n**Requires:** CPU is often enough; token needed **only** if you pass `--output-repo` (upload).\n\n```python\nfrom pathlib import Path\n\nscript = Path(\"jobs\u002Fscripts\u002Ffinepdfs-stats.py\").read_text()\nhf_jobs(\"uv\", {\n    \"script\": script,\n    \"script_args\": [\n        \"--limit\", \"10000\",\n        \"--show-plan\",\n        \"--output-repo\", \"username\u002Ffinepdfs-temporal-stats\",\n    ],\n    \"flavor\": \"cpu-upgrade\",\n    \"timeout\": \"2h\",\n    \"env\": {\"HF_XET_HIGH_PERFORMANCE\": \"1\"},\n    \"secrets\": {\"HF_TOKEN\": \"$HF_TOKEN\"},\n})\n```\n\n## Common Failure Modes\n\n### Out of Memory (OOM)\n\n**Fix:**\n1. Reduce batch size or data chunk size\n2. Process data in smaller batches\n3. Upgrade hardware: cpu → t4 → a10g → a100\n\n### Job Timeout\n\n**Fix:**\n1. Check logs for actual runtime\n2. Increase timeout with buffer: `\"timeout\": \"3h\"`\n3. Optimize code for faster execution\n4. Process data in chunks\n\n### Hub Push Failures\n\n**Fix:**\n1. Add token to secrets: MCP uses `\"$HF_TOKEN\"` (auto-replaced), Python API uses `get_token()` (must pass real token)\n2. Verify token in script: `assert \"HF_TOKEN\" in os.environ`\n3. Check token permissions\n4. Verify repo exists or can be created\n\n### Missing Dependencies\n\n**Fix:**\nAdd to PEP 723 header:\n```python\n# \u002F\u002F\u002F script\n# dependencies = [\"package1\", \"package2>=1.0.0\"]\n# \u002F\u002F\u002F\n```\n\n### Authentication Errors\n\n**Fix:**\n1. Check `hf_whoami()` works locally\n2. Verify token in secrets — MCP: `\"$HF_TOKEN\"`, Python API: `get_token()` (NOT `\"$HF_TOKEN\"`)\n3. Re-login: `hf auth login`\n4. Check token has required permissions\n\n## Troubleshooting\n\n**Common issues:**\n- Job times out → Increase timeout, optimize code\n- Results not saved → Check persistence method, verify HF_TOKEN\n- Out of Memory → Reduce batch size, upgrade hardware\n- Import errors → Add dependencies to PEP 723 header\n- Authentication errors → Check token, verify secrets parameter\n\n**See:** `references\u002Ftroubleshooting.md` for complete troubleshooting guide\n\n## Resources\n\n### References (In This Skill)\n- `references\u002Ftoken_usage.md` - Complete token usage guide\n- `references\u002Fhardware_guide.md` - Hardware specs and selection\n- `references\u002Fhub_saving.md` - Hub persistence guide\n- `references\u002Ftroubleshooting.md` - Common issues and solutions\n\n### Scripts (In This Skill)\n- `scripts\u002Fgenerate-responses.py` - vLLM batch generation: dataset → responses → push to Hub\n- `scripts\u002Fcot-self-instruct.py` - CoT Self-Instruct synthetic data generation + filtering → push to Hub\n- `scripts\u002Ffinepdfs-stats.py` - Polars streaming stats over `finepdfs-edu` parquet on Hub (optional push)\n\n### External Links\n\n**Official Documentation:**\n- [HF Jobs Guide](https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhuggingface_hub\u002Fguides\u002Fjobs) - Main documentation\n- [HF Jobs CLI Reference](https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhuggingface_hub\u002Fguides\u002Fcli#hf-jobs) - Command line interface\n- [HF Jobs API Reference](https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhuggingface_hub\u002Fpackage_reference\u002Fhf_api) - Python API details\n- [Hardware Flavors Reference](https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhub\u002Fen\u002Fspaces-config-reference) - Available hardware\n\n**Related Tools:**\n- [UV Scripts Guide](https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002Fguides\u002Fscripts\u002F) - PEP 723 inline dependencies\n- [UV Scripts Organization](https:\u002F\u002Fhuggingface.co\u002Fuv-scripts) - Community UV script collection\n- [HF Hub Authentication](https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhuggingface_hub\u002Fquick-start#authentication) - Token setup\n- [Webhooks Documentation](https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhuggingface_hub\u002Fguides\u002Fwebhooks) - Event triggers\n\n## Key Takeaways\n\n1. **Submit scripts inline** - The `script` parameter accepts Python code directly; no file saving required unless user requests\n2. **Jobs are asynchronous** - Don't wait\u002Fpoll; let user check when ready\n3. **Always set timeout** - Default 30 min may be insufficient; set appropriate timeout\n4. **Always persist results** - Environment is ephemeral; without persistence, all work is lost\n5. **Use tokens securely** - MCP: `secrets={\"HF_TOKEN\": \"$HF_TOKEN\"}`, Python API: `secrets={\"HF_TOKEN\": get_token()}` — `\"$HF_TOKEN\"` only works with MCP tool\n6. **Choose appropriate hardware** - Start small, scale up based on needs (see hardware guide)\n7. **Use UV scripts** - Default to `hf_jobs(\"uv\", {...})` with inline scripts for Python workloads\n8. **Handle authentication** - Verify tokens are available before Hub operations\n9. **Monitor jobs** - Provide job URLs and status check commands\n10. **Optimize costs** - Choose right hardware, set appropriate timeouts\n\n## Quick Reference: MCP Tool vs CLI vs Python API\n\n| Operation | MCP Tool | CLI | Python API |\n|-----------|----------|-----|------------|\n| Run UV script | `hf_jobs(\"uv\", {...})` | `hf jobs uv run script.py` | `run_uv_job(\"script.py\")` |\n| Run Docker job | `hf_jobs(\"run\", {...})` | `hf jobs run image cmd` | `run_job(image, command)` |\n| List jobs | `hf_jobs(\"ps\")` | `hf jobs ps` | `list_jobs()` |\n| View logs | `hf_jobs(\"logs\", {...})` | `hf jobs logs \u003Cid>` | `fetch_job_logs(job_id)` |\n| Cancel job | `hf_jobs(\"cancel\", {...})` | `hf jobs cancel \u003Cid>` | `cancel_job(job_id)` |\n| Schedule UV | `hf_jobs(\"scheduled uv\", {...})` | `hf jobs scheduled uv run SCHEDULE script.py` | `create_scheduled_uv_job()` |\n| Schedule Docker | `hf_jobs(\"scheduled run\", {...})` | `hf jobs scheduled run SCHEDULE image cmd` | `create_scheduled_job()` |\n| List scheduled | `hf_jobs(\"scheduled ps\")` | `hf jobs scheduled ps` | `list_scheduled_jobs()` |\n| Delete scheduled | `hf_jobs(\"scheduled delete\", {...})` | `hf jobs scheduled delete \u003Cid>` | `delete_scheduled_job()` |\n",{"data":37,"body":38},{"name":4,"description":6},{"type":39,"children":40},"root",[41,50,57,63,72,156,173,179,184,222,228,233,324,330,335,347,409,421,429,452,460,528,578,584,590,598,622,630,663,669,677,703,711,729,735,742,781,789,824,832,855,861,897,905,923,931,949,955,991,999,1036,1042,1050,1191,1199,1238,1244,1252,1275,1283,1321,1327,1335,1383,1391,1428,1436,1491,1499,1529,1535,1605,1611,1852,1858,1864,1869,1877,2019,2027,2086,2094,2117,2126,2140,2146,2159,2204,2212,2262,2271,2277,2282,2327,2334,2356,2362,2382,2455,2470,2493,2507,2592,2600,2646,2652,2657,2701,2708,2730,2736,2741,2748,2800,2807,2860,2867,2890,2905,2913,2966,2974,2979,3023,3030,3079,3085,3098,3144,3154,3160,3182,3445,3453,3564,3572,3608,3614,3622,3633,3639,3647,3756,3764,3803,3811,3842,3848,3856,3909,3917,3984,3990,3995,4052,4069,4075,4083,4088,4094,4101,4132,4140,4221,4228,4266,4272,4388,4398,4408,4414,4422,4432,4440,4448,4466,4474,4492,4500,4518,4526,4554,4560,4566,4573,4665,4672,4807,4814,4922,4932,4938,4943,4952,4957,4963,5048,5053,5058,5065,5228,5235,5381,5389,5467,5475,5530,5538,5715,5721,5726,5733,5834,5841,5867,5875,5898,5906,5951,5964,5970,5983,5995,6028,6045,6191,6203,6218,6231,6358,6370,6379,6403,6522,6528,6534,6541,6559,6565,6572,6601,6607,6614,6657,6663,6672,6709,6715,6722,6775,6781,6789,6817,6833,6839,6845,6889,6895,6936,6942,6950,7000,7008,7057,7063,7201,7207,7552],{"type":42,"tag":43,"props":44,"children":46},"element","h1",{"id":45},"running-workloads-on-hugging-face-jobs",[47],{"type":48,"value":49},"text","Running Workloads on Hugging Face Jobs",{"type":42,"tag":51,"props":52,"children":54},"h2",{"id":53},"overview",[55],{"type":48,"value":56},"Overview",{"type":42,"tag":58,"props":59,"children":60},"p",{},[61],{"type":48,"value":62},"Run any workload on fully managed Hugging Face infrastructure. 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Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[7587,7590,7592,7595,7598],{"name":7588,"slug":7589,"type":15},".NET","dotnet",{"name":7591,"slug":7582,"type":15},"ASP.NET Core",{"name":7593,"slug":7594,"type":15},"Blazor","blazor",{"name":7596,"slug":7597,"type":15},"C#","csharp",{"name":7599,"slug":7600,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":7605,"name":7605,"fn":7606,"description":7607,"org":7608,"tags":7609,"stars":7601,"repoUrl":7602,"updatedAt":7620},"chatgpt-apps","build ChatGPT Apps SDK applications","Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. 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For Figma canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[7724,7725,7726,7727,7728],{"name":7679,"slug":7680,"type":15},{"name":7682,"slug":7673,"type":15},{"name":7684,"slug":7685,"type":15},{"name":7701,"slug":7702,"type":15},{"name":7599,"slug":7600,"type":15},"2026-05-16T06:07:40.583615",{"slug":7731,"name":7731,"fn":7732,"description":7733,"org":7734,"tags":7735,"stars":7601,"repoUrl":7602,"updatedAt":7744},"hatch-pet","create animated pets for Codex","Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[7736,7739,7740,7743],{"name":7737,"slug":7738,"type":15},"Animation","animation",{"name":7633,"slug":7634,"type":15},{"name":7741,"slug":7742,"type":15},"Creative","creative",{"name":7679,"slug":7680,"type":15},"2026-05-02T05:31:48.48485",{"slug":7746,"name":7746,"fn":7747,"description":7748,"org":7749,"tags":7750,"stars":7601,"repoUrl":7602,"updatedAt":7760},"imagegen","generate and edit raster images","Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG\u002Fvector\u002Fcode-native assets, extending an established icon or logo system, or building the visual directly in HTML\u002FCSS\u002Fcanvas.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[7751,7752,7753,7756,7759],{"name":7741,"slug":7742,"type":15},{"name":7679,"slug":7680,"type":15},{"name":7754,"slug":7755,"type":15},"Image Generation","image-generation",{"name":7757,"slug":7758,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675,{"items":7763,"total":7873},[7764,7781,7797,7809,7827,7845,7861],{"slug":7765,"name":7765,"fn":7766,"description":7767,"org":7768,"tags":7769,"stars":25,"repoUrl":26,"updatedAt":7780},"accessibility-and-inclusive-visualization","make data visualizations accessible","Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[7770,7773,7776,7779],{"name":7771,"slug":7772,"type":15},"Accessibility","accessibility",{"name":7774,"slug":7775,"type":15},"Charts","charts",{"name":7777,"slug":7778,"type":15},"Data Visualization","data-visualization",{"name":7679,"slug":7680,"type":15},"2026-06-30T19:00:57.102",{"slug":7782,"name":7782,"fn":7783,"description":7784,"org":7785,"tags":7786,"stars":25,"repoUrl":26,"updatedAt":7796},"agent-browser","automate browser interactions for agents","Browser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[7787,7790,7793],{"name":7788,"slug":7789,"type":15},"Agents","agents",{"name":7791,"slug":7792,"type":15},"Browser Automation","browser-automation",{"name":7794,"slug":7795,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":7798,"name":7798,"fn":7799,"description":7800,"org":7801,"tags":7802,"stars":25,"repoUrl":26,"updatedAt":7808},"agent-browser-verify","verify dev server output with automated browser","Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass\u002Ffail before continuing.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[7803,7804,7807],{"name":7791,"slug":7792,"type":15},{"name":7805,"slug":7806,"type":15},"Local Development","local-development",{"name":7794,"slug":7795,"type":15},"2026-04-06T18:41:17.526867",{"slug":7810,"name":7810,"fn":7811,"description":7812,"org":7813,"tags":7814,"stars":25,"repoUrl":26,"updatedAt":7826},"agents-sdk","build AI agents on Cloudflare Workers","Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[7815,7816,7817,7820,7823],{"name":7788,"slug":7789,"type":15},{"name":7649,"slug":7650,"type":15},{"name":7818,"slug":7819,"type":15},"SDK","sdk",{"name":7821,"slug":7822,"type":15},"Serverless","serverless",{"name":7824,"slug":7825,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":7828,"name":7828,"fn":7829,"description":7830,"org":7831,"tags":7832,"stars":25,"repoUrl":26,"updatedAt":7844},"ai-elements","build chat UIs with AI Elements","AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn\u002Fui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[7833,7834,7837,7840,7841],{"name":7684,"slug":7685,"type":15},{"name":7835,"slug":7836,"type":15},"React","react",{"name":7838,"slug":7839,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":7701,"slug":7702,"type":15},{"name":7842,"slug":7843,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":7846,"name":7846,"fn":7847,"description":7848,"org":7849,"tags":7850,"stars":25,"repoUrl":26,"updatedAt":7860},"ai-gateway","configure Vercel AI Gateway","Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[7851,7852,7855,7856,7859],{"name":23,"slug":24,"type":15},{"name":7853,"slug":7854,"type":15},"Cost Optimization","cost-optimization",{"name":17,"slug":18,"type":15},{"name":7857,"slug":7858,"type":15},"Performance","performance",{"name":7842,"slug":7843,"type":15},"2026-04-06T18:40:44.377464",{"slug":7862,"name":7862,"fn":7863,"description":7864,"org":7865,"tags":7866,"stars":25,"repoUrl":26,"updatedAt":7872},"ai-generation-persistence","implement persistence patterns for AI generations","AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[7867,7868,7871],{"name":7853,"slug":7854,"type":15},{"name":7869,"slug":7870,"type":15},"Database","database",{"name":17,"slug":18,"type":15},"2026-04-06T18:41:08.513425",600]