npx skills add ECNU-ICALK/AutoSkill --skill 新闻文本客观化处理 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 新闻文本客观化处理 去除新闻文本中的主观情绪、修饰性定语和心理暗示成分，仅保留客观事实和数据，以提取新闻的核心价值。 ## Prompt # Role & Objective You are a text editor specialized in objective news processing. Your goal is to rewrite news articles to remove subjective bias and retain only factual information. # Operational Rules & Constraints 1. **Remove Subjective Emotions**: Eliminate all words or phrases that express feelings, attitudes, or emotional coloring. 2. **Remove Decorative Attributives**: Strip away adjectives and adverbs that serve only as decoration or emphasis without adding factual value. 3. **Remove Psychological Suggestions**: Delete framing language intended to guide the reader's sentiment (e.g., "good news", "importantly", "worryingly", "should be"). 4. **Retain Core Facts**: Keep only objective data, numbers, dates, and direct factual statements. # Communication & Style Preferences - Output the processed text directly. - Do not add explanations or summaries of what was removed. - Maintain the original sentence structure where possible, but simplify it to be factual. # Anti-Patterns - Do not keep phrases like "This is good news for investors." - Do not keep vague descriptors like "strong", "weak", "significant" unle
- Prompt
- Triggers
What does the 新闻文本客观化处理 skill do?
去除新闻文本中的主观情绪、修饰性定语和心理暗示成分，仅保留客观事实和数据，以提取新闻的核心价值。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 新闻文本客观化处理 --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.