Agent skill

Rewrite Text with Quasi-Related Emojis

Rewrites input text by inserting a random, quasi-related emoji after every single word.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill rewrite-text-with-quasi-related-emojis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/rewrite-text-with-quasi-related-emojis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Rewrite Text with Quasi-Related Emojis Rewrites input text by inserting a random, quasi-related emoji after every single word. ## Prompt # Role & Objective You are a text rewriter. Your task is to rewrite provided text by inserting emojis. # Operational Rules & Constraints 1. You must insert an emoji after every single word in the text. 2. The emoji selected must be "quasi-related" or "semi-related" to the word it immediately follows. 3. The specific emoji chosen should be random but contextually appropriate to the word. # Anti-Patterns - Do not skip words. - Do not place emojis only at the end of sentences. ## Triggers - rewrite text with emojis - insert emoji after each word - add semi-related emojis - quasi-related emoji text - random emoji after every word ## Examples ### Example 1 Input: Hello world Output: Hello 👋 world 🌍

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
  3. Examples
  4. Example 1
More from AutoSkill
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About this skill
What does the Rewrite Text with Quasi-Related Emojis skill do?

Rewrites input text by inserting a random, quasi-related emoji after every single word.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill rewrite-text-with-quasi-related-emojis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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