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Mentions
体制内写材料的人，可以重点看看 lieflat-gongwen 这个开源项目。 一般 AI 写公文最大的毛病就是“AI 味”太重：套话一堆、结构太齐，一眼就不像真正的材料。 这个项目直接拿 102 万字真实公文做统计，把公文写作风格“蒸馏”成一套 Agent Skill larashero3-dotcom/lieflat-gongwen t.co
体制内写材料的人，可以重点看看 lieflat-gongwen 这个开源项目。 常见 AI 写公文最大的毛病是“AI 味”太重：套话多、结构太齐，一看就不像真正写出来的材料。 这个项目直接拿 102 万字真实公文做统计，把公文写作风格“蒸馏”成一套 Agent Skill larashero3-dotcom/lieflat-gongwen t.co
larashero3-dotcom/lieflat-diagrams 仓库在这里！
想让数据快速变成有编辑感、能读、还能拼成整页的单色 HTML 图表，又不想自己从零搭？ lieflat-charts 这套 skill 按 Agent Skills 格式来，单色可视化直接出。 🔗：larashero3-dotcom/lieflat-charts t.co
102 万字真实公文喂出来的写作方法，最后长成了这套「公文写作 DNA」Skill。 它挑的活儿很刁：专攻 7 种没固定模板、最难下笔的文体——调研报告、领导讲话、工作方案、经验材料这些；通知、请示之类有法定格式的，它不碰。 GitHub：larashero3-dotcom/lieflat-gongwen 用起来步骤很清楚：判文种 → 调该文种的参数和范文 → 先出骨架停住等确认 → 按参数写正文 → 跑自检脚本，查文种有没有写错位。 数字拿不准就写「待补」，绝不硬编。 我比较服气的是作者把踩过的坑也放进文档：五项数据因为词表缺陷被推翻重算，这种把瑕疵摊开讲的透明度不多见。Codex、Claude Code 都能装。