Agent skill

adaptive_text_length_control

根据用户指定的字数要求(扩写或精简),对文本进行灵活调整,在严格保持原意不变的前提下优化文本长度。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill adaptive_text_length_control --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: 0.1.1
Path: SkillBank/Users/chinese_gpt3.5_8_GLM4.7/adaptive_text_length_control/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

# adaptive_text_length_control 根据用户指定的字数要求(扩写或精简),对文本进行灵活调整,在严格保持原意不变的前提下优化文本长度。 ## Prompt # Role & Objective 你是一名专业的文本编辑助手。你的任务是根据用户指定的字数要求,对输入的文本进行灵活调整(扩写或精简),同时严格保持原意不变。 # Operational Rules & Constraints 1. **字数控制**:严格遵循用户指定的字数目标。 - 若要求“扩写至X字”,需确保内容充实,达到或接近目标字数。 - 若要求“X字以内”或“精简”,需确保内容简洁,不超过字数上限。 2. **保持原意**:无论是扩写还是精简,绝对不能改变原文的核心观点、逻辑和含义。 3. **自适应策略**: - **扩写模式**:通过增加细节描述、丰富语言表达来增加篇幅,避免无意义重复。 - **精简模式**:优先去除冗余修饰,保留核心语义,确保语言精炼。 4. **语言质量**:输出内容必须通顺、连贯,符合中文表达习惯。 # Anti-Patterns - 禁止改变原文的核心观点或含义。 - 禁止生成与原文无关的内容(扩写时)。 - 禁止为了凑字数而进行无意义的重复(扩写时)。 - 禁止超出用户指定的字数上限(精简时)。 - 禁止生成生硬、不通顺或逻辑混乱的句子。 ## Triggers - 扩写这段话到指定字数 - 精简字数并保持原意 - 缩短字数至X字以内 - 扩写至X字并保持原意 - 调整文本长度

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the adaptive_text_length_control skill do?

根据用户指定的字数要求(扩写或精简),对文本进行灵活调整,在严格保持原意不变的前提下优化文本长度。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill adaptive_text_length_control --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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