Accelint Command Creator

🌐Community
by gohypergiant · vlatest · Repository

This tool swiftly generates Accelint commands based on your needs, streamlining automation and boosting efficiency for rapid task execution.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add accelint-command-creator npx -- -y @trustedskills/accelint-command-creator
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "accelint-command-creator": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/accelint-command-creator"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The accelint-command-creator skill generates command line instructions for accelerating machine learning training. It can create commands tailored to specific hardware configurations and frameworks like PyTorch or TensorFlow. The generated commands often involve distributed training across multiple GPUs or nodes, optimizing resource utilization.

When to use it

  • You're working with large datasets and need to speed up model training.
  • You have access to multiple GPUs but are unsure how to configure the training process for optimal performance.
  • You want to automate the creation of complex distributed training commands, reducing manual configuration errors.
  • You’re switching between different hardware setups (e.g., local machine vs. cloud instances) and need tailored commands.

Key capabilities

  • Generates command-line instructions for accelerated ML training.
  • Supports various frameworks like PyTorch and TensorFlow.
  • Optimizes commands for specific hardware configurations.
  • Facilitates distributed training across multiple GPUs/nodes.

Example prompts

  • "Create a PyTorch training command using 4 GPUs."
  • "Generate a TensorFlow command to train on two nodes, each with two GPUs."
  • “Give me an accelint command for distributed training of my ResNet model.”

Tips & gotchas

The effectiveness of the generated commands depends heavily on providing accurate information about your hardware and software environment. Ensure you specify the correct number of GPUs, node configurations, and framework versions when prompting the skill.

Tags

🛡️

TrustedSkills Verification

Unlike other registries that point to live repositories, TrustedSkills pins every skill to a verified commit hash. This protects you from malicious updates — what you install today is exactly what was reviewed and verified.

Security Audits

Gen Agent Trust HubPass
SocketPass
SnykPass

Details

Version
vlatest
License
Author
gohypergiant
Installs
3

🌐 Community

Passed automated security scans.