1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc.
/install templatebased-writing
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install templatebased-writing - 安装完成后,直接呼叫该 Skill 的名称或使用
/templatebased-writing触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc. 是什么?
Automatically analyze Word templates and data inputs to generate formal documents matching the template's styles and structure. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 496 次。
如何安装 1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc.?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install templatebased-writing」即可一键安装,无需额外配置。
1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc. 是免费的吗?
是的,1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc. 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc. 支持哪些平台?
1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc. 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc.?
由 zmmqqqq(@zmmqqqq)开发并维护,当前版本 v1.0.0。