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TabithaFanny
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qzcli

Manage GPU compute jobs on the Qizhi platform via command line.

Updated May 29, 2026
Search Tags:#CLI#GPU#batch submission#compute jobs#Qizhi platform
One-click install
npx skills add https://github.com/TabithaFanny/ThesisX --skill qzcli-tabithafanny
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qzcli
Source: https://github.com/TabithaFanny/ThesisX/tree/main/skills_imported/aris/skills/qzcli
Command: npx skills add https://github.com/TabithaFanny/ThesisX --skill qzcli-tabithafanny

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires rich, requests, prompt_toolkit, mcp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The qzcli Skill streamlines the management of GPU compute jobs on the Qizhi platform, reducing the complexity of submitting, monitoring, and stopping jobs.

Core Features & Use Cases

  • Job Submission: Manage GPU compute jobs on the Qizhi platform with a kubectl-style CLI.
  • Resource Discovery: Discover available nodes and compute groups.
  • Job Control: Submit, list, stop, and check the status of jobs.
  • Batch Submission: Submit multiple jobs in a batch configuration.
  • Integration: Works seamlessly with Claude Code or Codex for MCP integration.

Quick Start

To start managing jobs on the Qizhi platform, run the following command: qzcli login

Frequently Asked Questions about qzcli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I submit and manage GPU compute jobs on the Qizhi platform?▼

You can manage GPU compute jobs on the Qizhi platform using a kubectl-style CLI to submit, list, stop, and check job statuses. Start by running the `qzcli login` command to authenticate and access available compute resources.

Can I submit multiple GPU compute jobs at once?▼

Yes, you can submit multiple GPU compute jobs simultaneously using the batch submission feature. This allows you to configure and submit several jobs in a single batch configuration, streamlining job management on the Qizhi platform.

How do I check available GPU nodes and compute groups before submitting a job?▼

You can discover available nodes and compute groups on the Qizhi platform using the resource discovery commands in the CLI. This allows you to identify accessible GPU resources before configuring and submitting your compute jobs.

Does qzcli work with Claude Code or Codex for MCP integration?▼

Yes, the qzcli CLI works seamlessly with Claude Code or Codex for MCP integration. This allows you to manage Qizhi platform GPU compute jobs directly within your development tools using the Model Context Protocol.

What Python packages are required to run the qzcli command-line tool?▼

To run the qzcli command-line tool, you need the associated Python packages rich, requests, prompt_toolkit, and mcp installed. These dependencies support the CLI interface, HTTP communication, and MCP integration for compute job management.

What is the best way to stop a running GPU compute job on the Qizhi platform?▼

The best way to stop a running GPU compute job on the Qizhi platform is by using the job control commands in the qzcli CLI. You can list active jobs, check their statuses, and issue a stop command to halt specific compute jobs.

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