Linux Production Shell Scripts

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by zebbern · vlatest · Repository

This skill provides robust Linux production shell scripts for automating tasks and streamlining operations, boosting efficiency and reliability.

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 zebbern-linux-production-shell-scripts npx -- -y @trustedskills/zebbern-linux-production-shell-scripts
2

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

~/.claude/settings.json
{
  "mcpServers": {
    "zebbern-linux-production-shell-scripts": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/zebbern-linux-production-shell-scripts"
      ]
    }
  }
}

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

About This Skill

The Linux Production Shell Scripts skill enables AI agents to generate robust, production-grade Bash scripts tailored for Linux environments. It focuses on creating reliable automation tools that adhere to industry best practices for system administration and deployment tasks.

When to use it

  • Automating repetitive server maintenance tasks like log rotation or user management across multiple hosts.
  • Generating deployment scripts for containerized applications that require specific environment configurations.
  • Creating backup solutions that handle file integrity checks and secure storage of critical data.
  • Building CI/CD pipeline steps for pre-deployment validation on Linux-based infrastructure.

Key capabilities

  • Generates idempotent Bash scripts with proper error handling and exit codes.
  • Includes security best practices such as avoiding hardcoded credentials and using set -euo pipefail.
  • Supports complex logic involving loops, conditionals, and variable management for dynamic environments.
  • Produces well-documented scripts with inline comments explaining functionality and usage.

Example prompts

  • "Create a Bash script to rotate logs for an Nginx server, compressing old files and removing those older than 30 days."
  • "Write a production-ready script to deploy a Docker container from a Git repository, including health checks and rollback logic."
  • "Generate a backup script that archives MySQL databases to S3, verifying integrity before deletion of local copies."

Tips & gotchas

Ensure your AI agent has access to the target Linux environment's documentation or configuration files to tailor scripts accurately. Avoid requesting scripts that perform destructive actions without explicit safety checks or dry-run modes.

Tags

🛡️

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Details

Version
vlatest
License
Author
zebbern
Installs
32

🌐 Community

Passed automated security scans.