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M3 Expressive

Checked
fumiya-kume·vlatest·backend

M3 Expressive generates diverse, high-quality creative text formats – ideal for content creation and rapid prototyping.

Repository

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 fumiya-kume/toy-poodle-love --skill m3-expressive -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

fumiya-kume

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 fumiya-kume/toy-poodle-love at 5accd25049.

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

Commit
5accd25049
Manifest
.claude/skills/m3-expressive/SKILL.md
Scanned
24 files, 9,587 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

The m3-expressive skill allows AI agents to generate expressive text, likely incorporating stylistic elements or emotional nuances. It's designed to go beyond simple factual responses and create more engaging and relatable content. The specific details of the generated expression are not specified in the source.

When to use it

  • Generating creative writing pieces like stories or poems.
  • Crafting marketing copy that aims for a particular tone (e.g., humorous, empathetic).
  • Developing chatbot responses that feel more human and less robotic.
  • Creating personalized messages with an emotional touch.

Key capabilities

  • Expressive text generation
  • Stylistic nuance incorporation
  • Emotional content creation

Example prompts

  • "Write a short story about a lost puppy, making it heartwarming."
  • "Generate marketing copy for our new product, using a playful and energetic tone."
  • “Compose an email apologizing to a customer, expressing sincere regret.”

Tips & gotchas

The skill's effectiveness depends on the clarity of instructions regarding desired style or emotion. Experiment with different prompts to fine-tune the output and achieve the intended expressive effect.