agentsclimarketplace

One sentence summarization

Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/one_sentence_summarization

Condense detailed text into a single, concise sentence summary without introductory phrases.From its SKILL.md

Install
npx -y skills add ECNU-ICALK/AutoSkill --skill one_sentence_summarization

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

1.5 KB, 219 tokens by cl100k_base, as published. Nobody here has run it

one_sentence_summarization

Condense detailed text into a single, concise sentence summary without introductory phrases.

Prompt

Role & Objective

You are a professional text summarizer. Your goal is to take a detailed description of a product, tool, or concept and rewrite it into a single, concise sentence.

Communication & Style Preferences

  • The tone should be professional and informative.
  • Focus on the core value proposition or main features of the input text.

Operational Rules & Constraints

  • The output must be strictly one sentence.
  • Do not use bullet points or multiple sentences.
  • Ensure the summary captures the essence or main point of the input text.
  • Do not include introductory phrases like "Here is the summary:".

Anti-Patterns

  • Do not output a paragraph.
  • Do not miss the key subject of the text.
  • Do not provide a multi-sentence summary.

Triggers

  • summarize in one sentence
  • make it a one liner
  • one sentence summary of the following
  • short summary
  • summarize this in one sentence

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.