{"slug":"hanyuyuan6-remote-gpu-trainer","name":"Remote Gpu Trainer","description":"A SKILL.md-based agent skill covering the full deep learning experiment lifecycle—running jobs on owned or rented GPUs, verifying results, and delivering reproducible figures and tables.","long_description":"# remote-gpu-trainer\n\nAn Agent Skill for the **whole life of a DL experiment** — **RUN** a job (on a GPU you own *or* rent),\n**VERIFY** that the number is real, and **DELIVER** it as organized, single-source, reproducible figures\nand tables. Its deepest part is still remote-GPU operations (AutoDL, RunPod, vast.ai, Lambda, Paperspace,\nthe Chinese platforms 恒源云 / 矩池云 / Featurize / 揽睿星舟, bare SSH, Slurm, Kubernetes — one instance or\na fan-out of many), now wrapped in the full run → verify → deliver arc.\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)\n[![Agent Skills standard](https://img.shields.io/badge/Agent%20Skills-SKILL.md-blue)](https://agentskills.io)\n[![evals](https://img.shields.io/badge/evals-18%2F18%20reachable-brightgreen)](evals/RESULTS.md)\n[![Lifecycle](https://img.shields.io/badge/lifecycle-RUN%20%C2%B7%20VERIFY%20%C2%B7%20DELIVER-blueviolet)](#whats-inside)\n[![Platform profiles](https://img.shields.io/badge/platform%20profiles-8-orange)](#whats-inside)\n[![Release](https://img.shields.io/badge/release-v1.0.0-blue)](https://github.com/Hanyuyuan6/remote-gpu-trainer/releases/tag/v1.0.0)\n\n> **What this is, and what it isn't.** \"AutoDL\" here means the [autodl.com](https://www.autodl.com)\n> GPU-rental platform, not AutoML or NAS. And this is an Agent Skill — a `SKILL.md` with reference docs and\n> script templates, not a CLI or an SDK. It sits on top of each platform's API and the DL workflow, and\n> captures the operational and judgment knowledge they leave out.\n\nOne skill, three phases of one real workflow:\n\n- **RUN** — get a long GPU job to start, survive, and finish, then get the result off the box. On a\n  machine **you own** there is no meter; on a **rented** one the core insight is that you are a short-term\n  tenant on someone else's machine — so the job is to detach the work, make the result outlive the\n  instance, and stop the meter safely. The things that genuinely vary between platforms (stop-vs-destroy\n  billing, machin","tagline":"An Agent Skill for the DL experiment lifecycle: RUN (a GPU you own or rent) → VERIFY the number is real → DELIVER reproducible, single-source figures and tables.","category":"research","tags":["agent-skills","deep-learning","gpu-training","reproducibility","remote-compute"],"author":"Hanyuyuan6","verified":false,"attribution":{"status":"community_indexed","statusLabel":"Community indexed","shortLabel":"COMMUNITY INDEXED","sourceLabel":"OpenAgentSkill auto-indexer","sourceDetail":"Hanyuyuan6/remote-gpu-trainer","creatorName":"Hanyuyuan6","creatorUrl":"https://github.com/Hanyuyuan6","sourceUrl":"https://github.com/Hanyuyuan6/remote-gpu-trainer","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/hanyuyuan6-remote-gpu-trainer#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. 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