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duzhilei951

专业中文写稿助手

by duzhilei951 · GitHub ↗ · v1.0.0 · MIT-0
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Install in OpenClaw
/install chinese-writing-assistant
Description
专业中文写稿助手,支持洗稿改写、仿写、文案优化功能。使用场景:(1)洗稿改写现有文章,保持原意和篇幅,替换措辞调整结构,降低重复率;(2)按照指定范文风格仿写新内容;(3)优化文案表达,适配不同平台风格(公众号/小红书/抖音/正式公文)。
README (SKILL.md)

专业写稿助手

核心能力

1. 洗稿改写(核心功能)

输入原始文稿,输出改写后的全新文稿: ✅ 保持原文核心意思、信息点、篇幅长度不变(±10%篇幅误差) ✅ 100%替换原文措辞、句式结构、段落顺序,大幅降低重复率 ✅ 优化表达逻辑,修正病句,提升文案可读性 ✅ 支持自定义改写风格:正式/口语化/书面/活泼/严谨等

2. 风格仿写

输入范文+写作主题,输出和范文风格、结构、语气完全一致的新文稿: ✅ 完全复刻范文的段落结构、句式特点、语气风格 ✅ 适配不同内容类型:软文/广告/干货/故事/公文/演讲稿

3. 文案优化

输入草稿文案,输出优化后的专业文案: ✅ 修正病句、不通顺表达、逻辑漏洞 ✅ 适配不同平台风格:公众号/小红书/抖音/知乎/正式公文 ✅ 优化标题、开头钩子、结尾引导,提升文案吸引力 ✅ 智能调整篇幅,支持扩写/缩写

核心工作流程

洗稿改写流程(必遵守)

  1. 通读原文:提取核心信息点、逻辑结构、核心观点,统计原文篇幅(字数)
  2. 结构调整:打乱原文段落顺序,重新组织逻辑结构,不改变信息点先后的合理性
  3. 措辞替换:100%替换原文的用词、句式,同义替换比例不低于80%,避免连续5个字和原文完全一致
  4. 逻辑优化:修正原文逻辑不通顺的地方,补充缺失的过渡句,提升可读性
  5. 篇幅校验:最终输出篇幅和原文误差不超过±10%,不大幅删减原文信息点
  6. 查重校验:检查是否有连续重复内容,确保重复率低于30%

仿写流程

  1. 分析范文:拆解范文的结构(开头/中间/结尾)、句式特点、语气风格、常用词汇
  2. 信息匹配:将用户提供的新主题信息匹配到范文的结构框架中
  3. 风格复刻:用范文的同款语气、句式、词汇组织内容,输出新文稿
  4. 适配调整:根据主题内容做合理调整,确保内容通顺自然,不生硬

文案优化流程

  1. 需求确认:明确用户优化需求(平台/风格/目标受众/篇幅要求)
  2. 问题排查:找出原文的病句、逻辑漏洞、表达不通顺的地方
  3. 优化调整:按照目标风格调整措辞、结构,优化标题、开头、结尾
  4. 适配平台:按照目标平台的规则调整内容(比如小红书加emoji、抖音口语化、公众号加引导关注)

输出规范

洗稿改写输出格式

📝 改写后文稿:
[完整改写后的内容]

🔍 改写说明:
1. 原文篇幅:x字,改写后篇幅:x字,误差±x%
2. 调整内容:[说明调整的结构、替换的核心措辞、优化的逻辑点]
3. 重复率预估:≤x%

仿写输出格式

📝 仿写后文稿:
[完整仿写后的内容]

🎨 风格匹配说明:
1. 匹配范文结构:[说明匹配了范文的哪些结构特点]
2. 风格复刻点:[说明复刻了范文的哪些语气、句式、词汇特点]

文案优化输出格式

📝 优化后文稿:
[完整优化后的内容]

✨ 优化点说明:
1. 修正的问题:[说明修正了哪些病句、逻辑问题]
2. 风格适配:[说明适配了什么平台/风格,做了哪些调整]
3. 提升点:[说明优化了哪些部分,比如标题更吸引人、逻辑更通顺等]

注意事项

  1. 信息完整性:洗稿改写时不允许大幅删减原文的核心信息点,所有原文提到的重要内容必须保留
  2. 合规性:所有输出内容必须符合国家法律法规,不出现违规内容、敏感词、虚假宣传内容
  3. 通顺自然:改写后的内容必须通顺自然,不能为了替换措辞出现不通顺的句子
  4. 自定义需求:用户有特殊要求(比如指定风格、指定关键词必须保留)时,优先满足用户需求
Usage Guidance
This skill appears to do what it claims (paraphrasing, style imitation), but it explicitly instructs behavior meant to reduce detection of copied text (reordering paragraphs, aggressive synonym substitution, aiming for <30% duplication). Before installing or using it, consider: (1) legal and ethical risks — rewriting third-party copyrighted material to evade plagiarism checks can violate copyright or institutional policies; (2) data sensitivity — do not submit private or copyrighted content without proper rights/consent; (3) technical limits — the skill gives no real mechanism for 'duplication checks' (no link to a plagiarism service), so similarity estimates will be heuristic and possibly inaccurate; (4) mitigation — if you proceed, require user confirmation that they own or have permission for any source text, and consider adding explicit safeguards (e.g., warnings about copyright, opt-in only for user-provided text, and integration with an explicit plagiarism-check API if real duplication measurement is needed). If you want a safer alternative, prefer tools that focus on quality editing and paraphrasing for permitted content rather than explicit plagiarism-evasion.
Capability Analysis
Type: OpenClaw Skill Name: chinese-writing-assistant Version: 1.0.0 The skill bundle is a legitimate Chinese writing assistant designed for text rewriting, style imitation, and content optimization. It consists entirely of Markdown documentation (SKILL.md, platform-style-guide.md, and synonym-replacement.md) providing linguistic instructions and reference data for an AI agent. There is no executable code, no requests for sensitive permissions, and no evidence of malicious intent or data exfiltration.
Capability Assessment
Purpose & Capability
Name, description, and included reference files (platform style guide, synonym library) align with the claimed capabilities (paraphrase/rewrite, style imitation, copy optimization). There are no unrelated binaries, env vars, or installs requested.
Instruction Scope
The SKILL.md provides precise runtime instructions focused on aggressive paraphrasing: '100% replace wording', 'reorder paragraphs', 'avoid 5 consecutive identical characters', and 'ensure duplication rate <30%'. These instructions are coherent with the goal of producing low-similarity output, but they explicitly aim to evade duplicate-detection, which is an ethical/legal red flag. The instructions also reference a '查重校验' (duplication check) requirement but provide no mechanism or external service to perform that check, making the behavior vague and underspecified.
Install Mechanism
Instruction-only skill with no install spec, no code files that execute, and no downloaded artifacts. This is the lowest install risk and consistent with a prompt/instruction-based skill.
Credentials
No environment variables, credentials, or config paths are requested. The skill does not ask for unrelated secrets or system access.
Persistence & Privilege
The skill does not request persistent/always-on presence (always:false) and does not modify other skills or system settings. Autonomous model invocation is allowed by default but not excessive here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install chinese-writing-assistant
  3. After installation, invoke the skill by name or use /chinese-writing-assistant
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
初始版本,支持洗稿改写、风格仿写、多平台文案优化功能,内置同义替换库和平台风格指南
Metadata
Slug chinese-writing-assistant
Version 1.0.0
License MIT-0
All-time Installs 3
Active Installs 3
Total Versions 1
Frequently Asked Questions

What is 专业中文写稿助手?

专业中文写稿助手,支持洗稿改写、仿写、文案优化功能。使用场景:(1)洗稿改写现有文章,保持原意和篇幅,替换措辞调整结构,降低重复率;(2)按照指定范文风格仿写新内容;(3)优化文案表达,适配不同平台风格(公众号/小红书/抖音/正式公文)。 It is an AI Agent Skill for Claude Code / OpenClaw, with 776 downloads so far.

How do I install 专业中文写稿助手?

Run "/install chinese-writing-assistant" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 专业中文写稿助手 free?

Yes, 专业中文写稿助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 专业中文写稿助手 support?

专业中文写稿助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 专业中文写稿助手?

It is built and maintained by duzhilei951 (@duzhilei951); the current version is v1.0.0.

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