Humanizer-zh-next: Chinese Writing & Academic Editing
中文去 AI 腔与学术编辑。33 patterns for natural Chinese writing, with genre rules and an academic mode that preserves facts, numbers, formulas, and citations.
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Grok+17 agentsHumanizer-zh-next: Chinese Writing & Academic Editing
Example session with this skill installed
请用 humanizer-zh-next 改写下面四段产品说明，去掉空泛措辞，保留全部事实、数字、限制条件和四段结构。不要新增功能、效果、案例或承诺。改写后附简短改动说明。以下为虚构产品的演示文案，不代表真实业务数据。
为了全面赋能团队协作，我们推出了项目周报工具，为项目成员带来全新的信息同步体验。该工具能够将任务状态、负责人和截止日期汇总到一张周报中，项目成员可在同一页面查看本周进展。当前版本支持读取 CSV 文件，用户需要在上传前确认文件包含任务名称、任务状态、负责人和截止日期四列；缺少任意一列时，工具会提示补充后再导入。
在任务状态管理方面，该工具采用清晰、直观的展示方式，为项目追踪提供强有力的支持。任务状态仅支持“未开始”“进行中”和“已完成”三种取值，其他写法需要用户先统一。导入后，系统按负责人分组展示任务，并将截止日期早于当前日期、且状态不是“已完成”的任务标为逾期。工具不自动修改任务状态，负责人需要手动确认本周进展后更新原始 CSV，再重新导入。
值得注意的是，权限与信息安全是我们始终高度重视的关键要素。当前版本仅供单个团队内部使用，没有对外分享功能，也不支持跨团队访问。管理员可以邀请成员或移除成员，普通成员只能查看周报，不能管理其他人的访问权限。上传文件中的客户姓名、联系方式等敏感信息应由管理员先行删除，工具目前不提供自动脱敏功能。这些限制将在使用说明中明确列出。
总体来看，该工具不仅是一种周报生成方式，更是推动团队持续成长的重要抓手，未来发展前景值得期待。目前的试用范围为一个项目组，试用期为两周。试用结束后，团队将核对周报内容是否准确、逾期标记是否正确，并收集成员对导入步骤和页面可读性的反馈。后续是否增加其他文件格式，将根据这些反馈决定；当前版本尚未安排相关功能的发布时间。
- Read your context and instructions
- Compiled the humanizer-zh-next
- Generated the data export
改写后的产品说明
我们推出了项目周报工具，将任务状态、负责人和截止日期汇总到一张周报中，项目成员可以在同一页面查看本周进展。当前版本支持读取 CSV 文件。上传前，请确认文件包含任务名称、任务状态、负责人和截止日期四列；缺少任意一列时，工具会提示补充后再导入。
任务状态只支持“未开始”“进行中”和“已完成”，其他写法需要先统一。导入后，系统按负责人分组展示任务。如果任务的截止日期早于当前日期，且状态不是“已完成”，系统会将其标为逾期。工具不会自动修改任务状态。负责人需要手动确认本周进展，更新原始 CSV，再重新导入。
当前版本仅供单个团队内部使用，没有对外分享功能，也不支持跨团队访问。管理员可以邀请或移除成员；普通成员只能查看周报，不能管理其他人的访问权限。上传前，管理员应删除文件中的客户姓名、联系方式等敏感信息，工具目前没有自动脱敏功能。这些限制会在使用说明中列出。
目前由一个项目组试用，试用期为两周。试用结束后，团队会核对周报内容和逾期标记是否准确，并收集成员对导入步骤、页面可读性的反馈。是否增加其他文件格式，将根据这些反馈决定；当前版本尚未安排相关功能的发布时间。
改动说明
- 将“全面赋能”“全新体验”“强有力的支持”等评价换成具体功能，保留 CSV 列要求、任务分组和逾期判断规则。
- 将权限与信息处理规则直接写清楚，保留管理员和普通成员的权限差异，以及无法自动脱敏的限制。
- 去掉“推动团队持续成长”“未来发展前景”等没有依据的结论，保留试用范围、两周期限、检查内容和后续决策条件。
- 保留原文四段结构及全部功能、数字和限制条件，没有新增指标、案例、效果承诺或事实。
humanizer-zh-next-chinese-writing-academ.csv
CSV · data export
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
About this skill
Humanizer-zh-next is a free, MIT-licensed Agent Skill for editing and reviewing Chinese text. It replaces vague wording, inflated claims, repetitive structures, and formulaic transitions while preserving the source text's facts, purpose, and tone.
The skill covers 33 common AI writing patterns adapted to Chinese. Genre-specific rules guide personal writing, business content, marketing copy, technical documentation, academic texts, and reference material. Its rewrite–self-check–final workflow preserves content coverage rather than shortening a text to make it sound more natural.
Version 1.3.0 includes a separate academic reference for Chinese papers, theses, abstracts, reviewer responses, and grant materials. This mode instructs the agent to preserve numbers, formulas, results, figure references, and citations, and to check whether claims fit the supplied evidence. Grant editing checks whether research aims, methods, and prior work fit together without inventing data or experience.
Provide a writing sample to help match your sentence rhythm, vocabulary, and level of formality. Technical and academic text stays precise and appropriately formal.
中文说明：本技能用于中文去 AI 腔、润色与审阅，保留原意、事实和内容覆盖。学术模式保护数字、公式、结果与引用，检查论断和证据是否对应。支持按作者提供的样本校准语气，不编造数据、经历或案例。
The ZIP includes SKILL.md, README.md, references/academic-writing.md, LICENSE, and THIRD_PARTY_NOTICES.md. Install the complete package in a humanizer-zh-next folder within your agent's supported skills directory. The academic reference must stay alongside SKILL.md. This requires an agent that can load SKILL.md and read supporting Markdown files; it is not a standalone application.
This is a writing and editing tool. It does not promise to bypass AI detectors or replace required AI-use disclosure. Academic users should follow their institution, journal, and funder's current rules.
Source and updates: https://github.com/Hyacehila/humanizer-zh-next License: MIT. The package preserves its original license and third-party attribution. Adapted from op7418/humanizer-zh, blader/humanizer, hardikpandya/stop-slop, and AIScientists-Dev/academic-humanizer.
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