hugging-face-jobs SKILL.md skillA

hugging-face-jobs from tayyabexe/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tayyabexe/skills/hugging-face-jobs@git:20260107.a25b8e5

Pins git:20260107.a25b8e5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tayyabexe/skills
Path
skills/hugging-face-jobs/SKILL.md
Versions recorded
1
Latest version
git:20260107.a25b8e5, committed Jan 7, 2026
Size
30,812 bytes
Repository stars
4
License
Apache-2.0

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…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Running Workloads on Hugging Face Jobs

## Overview

Run 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.

**Common use cases:**
- **Data Processing** - Transform, filter, or analyze large datasets
- **Batch Inference** - Run inference on thousands of samples
- **Experiments & Benchmarks** - Reproducible ML experiments
- **Model Training** - Fine-tune models (see `model-trainer` skill for TRL-specific training)
- **Synthetic Data Generation** - Generate datasets using LLMs
- **Development & Testing** - Test code without local GPU setup
- **Scheduled Jobs** - Automate recurring tasks

**For model training specifically:** See the `model-trainer` skill for TRL-based training workflows.

## When to Use This Skill

Use this skill when users want to:
- Run Python workloads on cloud infrastructure
- Execute jobs without local GPU/TPU setup
- Process data at scale
- Run batch inference or experiments
- Schedule recurring tasks
- Use GPUs/TPUs for any workload
- Persist results to the Hugging Face Hub

## Key Directives

When assisting with jobs:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tayyabexe/skills/hugging-face-jobs@sha256:a4e697cc1d5ffa29

The line at the top of this page pins the label git:20260107.a25b8e5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_zasxhn2yeb7bcyaq.svg)](https://markdownregistry.com/a/art_zasxhn2yeb7bcyaq)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jan 7, 2026.

versioncommittedcommitsizeaudit
git:20260107.a25b8e5 latest2026-01-07 a25b8e5 30,812 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (30812 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

tayyabexe/skills · 4 stars · license Apache-2.0 · pushed 2026-10-14 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_zasxhn2yeb7bcyaq
GET https://markdownregistry.com/api/v1/resolve?ref=tayyabexe/skills/hugging-face-jobs
GET https://markdownregistry.com/api/v1/blob/a4e697cc1d5ffa293c537473f96efc570e24d698434829c9eb430a1cf099e469

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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