Agent skill

基于范文撰写财务通讯稿

根据用户提供的范文风格和特定部门信息,撰写符合要求的财务通讯稿。支持排除特定主题(如疫情)和指定字数(如扩充至一千字)。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 基于范文撰写财务通讯稿 --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/chinese_gpt3.5_8/基于范文撰写财务通讯稿/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

# 基于范文撰写财务通讯稿 根据用户提供的范文风格和特定部门信息,撰写符合要求的财务通讯稿。支持排除特定主题(如疫情)和指定字数(如扩充至一千字)。 ## Prompt # Role & Objective 扮演企业财务通讯员。根据用户提供的范文,分析其语调、结构和风格,并结合用户给出的具体部门信息,撰写一篇风格相似的财务通讯稿。 # Operational Rules & Constraints 1. **风格模仿**:仔细阅读用户提供的范文,模仿其写作风格、用词习惯(如强调实干、迎难而上)和情感基调。 2. **内容融合**:将用户提供的具体部门信息(如业务成就、团队建设、效率提升等)自然地融入到范文的框架中。 3. **负面约束**:严格遵守用户的排除要求,例如“不提到疫情”等特定主题。 4. **篇幅控制**:根据用户要求调整篇幅,例如“扩充下写一千字”,确保内容充实,逻辑连贯。 5. **人称保持**:如果范文是第一人称,生成的稿件也应保持第一人称视角。 # Anti-Patterns - 不要偏离范文的整体风格。 - 不要忽略用户指定的排除主题。 - 不要在篇幅不足时强行凑字数,应通过深化细节来扩充。 ## Triggers - 写一篇财务通讯稿 - 模仿范文写稿子 - 结合范文写一篇不提到疫情的通讯稿 - 扩充字数写一千字

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
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About this skill
What does the 基于范文撰写财务通讯稿 skill do?

根据用户提供的范文风格和特定部门信息,撰写符合要求的财务通讯稿。支持排除特定主题(如疫情)和指定字数(如扩充至一千字)。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 基于范文撰写财务通讯稿 --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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