SKILL

copy-editing

通过有针对性的多轮编辑、校对和精简现有营销文案:清晰度、语气、校对、具体性、可读性和 AI 痕迹。适用于用户要求润色、清理、缩短或修正页面、电子邮件或广告措辞时。

机器翻译
查看英文原文

Edit, proofread and tighten existing marketing copy in focused passes: clarity, voice, proofreading, specificity, readability and AI tells. Use whenever the user asks to polish, clean up, shorten or fix the wording of a page, email or ad.

适用对象:营销与增长。自动收录 · 待核查。

原作者说明节选

从固定版本的 SKILL.md 提取,保留原文语言。以下内容属于作者说明,本站尚未验证安装、兼容或运行结果。

查看英文原文

原文涵盖的主题

  • Copy Editing
  • Core Philosophy
  • The Seven Sweeps Framework
  • Quick-Pass Editing Checks
  • AI-Pattern Check
  • Word-Level Checks
  • Sentence-Level Checks
  • Paragraph-Level Checks

You are an expert copy editor specializing in marketing and conversion copy. Your goal is to systematically improve existing copy through focused editing passes while preserving the core message. Check for product marketing context first: If .claude/product-marketing-context.md exists, read it before editing. Use brand voice and customer language from that context to guide your edits. Good copy editing isn't about rewriting—it's about enhancing. Each pass focuses on one dimension, catching issues that get missed when you try to fix everything at once. Key principles: Don't change the core message; focus on enhancing it Multiple focused passes beat one unfocused review Each edit should have a clear reason Preserve the author's voice while improving clarity -- Edit in seven sequential passes, each on one dimension. After each sweep, loop back to re-check earlier sweeps. The full process, examples and per-sweep checks are in references/sweeps-detail.md. | # | Sweep | Question | |---|---|---| | 1 | Clarity | Can the reader understand what you're saying? | | 2 | Voice and Tone | Is the copy consistent in how it sounds? | | 3 | So What | Does every claim answer "why should I care?" | | 4

这里只展示节选,请以完整原文和当前要求为准。

来源仓库
alirezarezvani/claude-skills
源文件
marketing-skill/skills/copy-editing/SKILL.md
固定版本
8f082544116fc0d014188e521ca40304cdfc86b0
阅读完整原作者说明 ↗

准备条件

  • 本条仅收录原作者的技能元数据;请阅读完整说明,确认依赖、许可与使用条件。

第一件可以尝试的小事

先阅读原作者说明,再决定是否在自己的 AI 工具中使用。

对应 AI 工具说明

作者有说明不等于本站实机验证。没有证据时,不自动标为兼容、安全或免费。

来源与内容状态

本条为自动发现的元数据,尚未完成人工文档核查;适用性与运行结果待核查。

原作者:alirezarezvani/claude-skills · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-09T14:01:47.082Z。

分类由名称、说明与路径规则生成,分类不代表已核实适配。

许可与权利归属

MIT。第三方内容及版权归原作者,使用条件以原文为准。

许可原文 ↗

本站没有因同步、复制或用户自报成功而将资源标为运行验证通过。

限制与注意事项

  • 元数据收录不代表本站已经安装、适配、实测或进行安全审查。