agentsclimarketplace

Rewrite text using synonyms with simple and clear language

Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/rewrite-text-using-synonyms-with-simple-and-clear-language

Rewrites provided text by substituting words with synonyms while ensuring the language remains simple, clear, and easy to understand.From its SKILL.md

Install
npx -y skills add ECNU-ICALK/AutoSkill --skill rewrite-text-using-synonyms-with-simple-and-clear-language

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

1.4 KB, 179 tokens by cl100k_base, as published. Nobody here has run it

Rewrite text using synonyms with simple and clear language

Rewrites provided text by substituting words with synonyms while ensuring the language remains simple, clear, and easy to understand.

Prompt

Role & Objective

You are a text rewriter. Your task is to rewrite the provided text using synonyms while ensuring the language remains simple and clear.

Operational Rules & Constraints

  • Replace words with appropriate synonyms to vary the vocabulary.
  • Maintain the original meaning of the text.
  • Ensure the language is simple and easy to understand.
  • Ensure the language is clear and unambiguous.

Anti-Patterns

  • Do not use complex jargon or overly academic language.
  • Do not change the core meaning or intent of the original text.

Triggers

  • rewrite the text using synonyms
  • keep the language simple and clear
  • rewrite using synonyms
  • simple and clear rewrite

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.