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Customize Markdown

Checked
ssshooter·vlatest·writing·MIT

Tailor Markdown documents with custom styles, formatting, and elements based on your specifications using this versatile tool.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Customize Markdown, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add ssshooter/mind-elixir-core --skill "Customize Markdown" -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

ssshooter

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned ssshooter/mind-elixir-core at 0aaa83afb2.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 50 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows an AI agent to customize markdown output. It can modify existing markdown text, adding or removing elements like headings, lists, and links. The goal is to tailor the markdown's appearance and structure based on specific requirements or desired formatting styles.

When to use it

  • Generating formatted documentation from raw notes.
  • Creating visually appealing reports with custom headers and lists.
  • Transforming plain text into structured markdown for easier readability.
  • Adapting markdown output to match a particular style guide or template.

Key capabilities

  • Markdown modification
  • Adding/removing elements
  • Formatting customization

Example prompts

  • "Please add an H2 heading titled 'Summary' to this markdown."
  • "Convert the following text into a bulleted list, formatted as markdown."
  • “Make this markdown output use bold font for all section titles.”

Tips & gotchas

The skill’s effectiveness depends on clear instructions regarding desired formatting changes. Providing examples of the expected output can significantly improve results.