distil-cli-skill

🥈Silver

Train task-specific small language models (SLMs) using Distil Labs CLI. Ideal for operations teams needing compact, specialized models. Connects to Distil Labs CLI for model training and deployment.

13380Updated Today

Intermediate30min to implementautomation

Saves ~15 min per use

Quick InstallView Source

git clone https://github.com/distil-labs/distil-cli-skill.git

Works with:

Claude

Overview

About This Skill

Train task-specific small language models (SLMs) using Distil Labs CLI. Ideal for operations teams needing compact, specialized models. Connects to Distil Labs CLI for model training and deployment.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/distil-labs/distil-cli-skill

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Act as a CLI expert. I need to use the Distil CLI to [TASK]. Here's the context: [CONTEXT]. Provide the exact command(s) I should run, including all necessary flags and parameters. Explain each part of the command in simple terms.

Example Output

# Distil CLI Commands for Data Processing

## Command 1: Initialize Distil Project
```bash
npx @distillpub/distil init --project-name my-project --output-dir ./distil-output
```

- `npx`: Runs the Distil CLI without requiring a global installation
- `@distillpub/distil`: The official Distil CLI package
- `init`: The command to initialize a new Distil project
- `--project-name`: Specifies the name of your project (required)
- `--output-dir`: Specifies where to store the processed files (optional)

## Command 2: Process Data Files
```bash
npx @distillpub/distil process --input-dir ./data --output-dir ./distil-output --format markdown
```

- `process`: The command to process your data files
- `--input-dir`: The directory containing your raw data files
- `--output-dir`: Where to store the processed files (must match the init output-dir)
- `--format`: The output format (markdown, html, or json)