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Linux commands guide v1.0.0

Use this resource to find and use the Linux commands that fit a task

New

  • 588 downloads
  • 113 likes
  • 186 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install linux-shell-command-guide

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The SKILL.md gives a step-by-step method for Linux commands, with examples and the steps to follow. The agent applies those steps to your need. You get the right command and an explanation of how it works.

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Updated November 2, 2026

Card for the “Linux commands guide” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: step-by-step method for Linux commands
  • SKILL.md: examples and output format

Good fit for

  • You need to handle files on a Linux server and cannot recall the command
  • You are new to the command line and want step-by-step examples

Not for

    Tags

    • linux
    • terminal
    • commands
    • shell

    About

    You say

    “Which Linux command finds files larger than 100 MB in this folder?”

    Card for the “Linux commands guide” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to find and use the Linux commands that fit a task
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/01-devops-basics/linux-commands-guide
    Licence
    MIT

    Notice

    « linux-commands-guide » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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