Generate long-form Markdown AI technology articles from research material.
npx skills add https://github.com/itwanger/toBeBetterJavaer --skill ai-itwanger
Please help me install this Agent Skill. Skill: AI技术文章生成工作流 Source: https://github.com/itwanger/toBeBetterJavaer/tree/main/.claude/skills/ai-article Command: npx skills add https://github.com/itwanger/toBeBetterJavaer --skill ai-itwanger
这项技能通过将研究材料和样例素材整合成可重复的工作流，自动生成 AI 技术领域的长篇文章，显著提升产出效率和一致性。
使用任务启动该工作流，选择一个主题或使用包含的 sample/ 与 sucai.md 作为背景材料，系统将输出一篇完整的 Markdown 文章。
High-intent search queries and answers about installing and using this skill.
Automating AI technology article writing is done by feeding research material and background data into a structured workflow that outputs long-form Markdown content. This process generates structured sections and a 2500-word article body loaded into context.
Generating Markdown content with frontmatter metadata is fully supported by this workflow. It processes technical blog background data to output structured Markdown files complete with frontmatter-driven metadata and formatted article sections.
Writing a 2500-word technical explainer is achieved by initiating the workflow with your sample materials and background data. The system drafts the article by replicating the provided writing style and integrating tracked references into a bibliography.
Automatic topic research and source citation are core features of this generation workflow. It discovers trending AI topics, fetches authoritative sources, and automatically tracks references to generate a complete bibliography for the final Markdown output.
The best way to ensure consistent writing style across multiple technical tutorials is using a repeatable generation workflow. Providing sample materials like sucai.md allows the system to consistently mirror the author's style for each generated article body.
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