Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
GPU CLI — Remote GPU Compute for ML Training and Inference
Run ML training, LLM inference, and ComfyUI workflows on remote NVIDIA GPUs (A100, H100, RTX 4090). Cloud GPU compute with smart file sync — prefix any comma...
skill openclawclawhub Free
Run ML training, LLM inference, and ComfyUI workflows on remote NVIDIA GPUs (A100, H100, RTX 4090). Cloud GPU compute with smart file sync — prefix any comma...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- selftest.sh, README.md, runner.sh, manifest.yaml, SKILL.md, templates/prompts.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.1
Provenance
- Publisher
- angusbezzina
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
GPU CLI Skill (Stable)
Use this skill to run the local gpu binary from your agent. It only allows invoking the bundled runner.sh (which internally calls gpu) and read-only file access. What it does Runs gpu commands you specify (e.g., runner.sh gpu status --json, runner.sh gpu run python train.py). Recommends a preflight: gpu doctor --json then gpu status --json. Streams results back to chat; use --json for structured outputs. Safety & scope Allowed tools: Bash(runner.sh*), Read. No network access requested by the skill; gpu handles its own networking. Avoid chaining or redirection; provide a single runner.sh gpu … command. You pay your provider directly; this may start paid pods. Quick prompts "Run runner.sh gpu status --json and summarize pod state". "Run runner.sh gpu doctor --json and summarize failures". "Run runner.sh gpu inventory --json --available and recommend a GPU under $0.50/hr". "Run runner.sh gpu run echo hello then post the output". Notes For image/video/LLM work, ask the agent to include appropriate flags (e.g., --gpu-type "RTX 4090", -p 8000:8000, or --rebuild).
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs2 Scripts1 Config
- SKILL.md
- README.md
- templates/prompts.md
- runner.sh
- selftest.sh
- manifest.yaml