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Create Slash Commands

Checked
glittercowboy·vlatest·ai-ml·MIT

Automatically generates Discord slash commands from natural language descriptions, simplifying bot development.

Install on your platform

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

  1. 1

    Run this in your project

    terminal
    $ npx skills add glittercowboy/taches-cc-resources --skill create-slash-commands -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

glittercowboy

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 glittercowboy/taches-cc-resources at 1757615b99.

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

Scanned
4 files, 1,850 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 enables AI agents to generate custom slash commands, allowing users to trigger specific actions or workflows directly within chat interfaces. It streamlines interaction by embedding executable logic into standard messaging platforms.

When to use it

  • Automating repetitive tasks like status updates or data retrieval without typing full prompts.
  • Creating quick-access menus for complex workflows in team communication channels.
  • Integrating external tools or APIs directly into a chat environment via command syntax.
  • Standardizing user inputs to ensure consistent execution of agent capabilities.

Key capabilities

  • Generates syntactically correct slash commands tailored to specific agent functions.
  • Maps natural language requests to executable command structures.
  • Facilitates direct invocation of AI agents through platform-native UI elements.

Example prompts

  • "Create a slash command that summarizes the last five messages in this thread."
  • "Generate a /status command that checks the current uptime of our server cluster."
  • "Build a /report command that exports today's meeting notes to a shared drive."

Tips & gotchas

Ensure your AI agent has the necessary permissions and tool integrations active before attempting to generate commands that require external data access. Test commands in a sandbox environment first to verify they execute safely without unintended side effects.