Enterprise Communication Skills demonstrate how to leverage Claude for core enterprise communication, content creation and collaboration needs. These 4 skills cover brand visual guideline application, internal communication template generation, structured document collaboration workflows, and self-media content creation — from hard brand consistency constraints to multi-platform content creation, forming a complete "input → process → output" chain for enterprise scenarios.
All four skills are "pure instruction" type with no script dependencies, reflecting the enterprise preference for "guidance" over "automation".
应用 Anthropic 官方品牌颜色和字体到任何视觉输出。约 73 行 SKILL.md 将品牌视觉规范编码为 AI 可执行的指令集合——"品牌即代码"模式的典范。Apply Anthropic's official brand colors and typography to any visual output. ~73 lines of SKILL.md encoding brand visual guidelines into an AI-executable instruction set — a model example of the "Brand as Code" pattern.
编写各类内部沟通文档。32 行 SKILL.md 作为路由入口 + 4 个示例文件作为模板仓库——"示例即模板"模式的代表，覆盖公司通讯、FAQ、3P 更新等场景。Write all kinds of internal communications. 32-line SKILL.md as routing entry + 4 example files as template repository — representing the "Examples as Templates" pattern, covering newsletters, FAQs, 3P updates, and more.
引导用户通过结构化工作流协作撰写文档。375 行的 SKILL.md 是学习中心中最长的单文件 skill——编码了完整的三阶段方法论（上下文收集 → 精炼与结构 → 读者测试），体现了"工作流即代码"的独特模式。Guide users through a structured workflow for co-authoring documentation. At 375 lines, the longest single-file SKILL.md in the learning center — encoding a complete three-stage methodology (Context Gathering → Refinement & Structure → Reader Testing), embodying the unique "Workflow as Code" pattern.
基于 11 个内容洞见维度的自媒体创作引擎。240 行纯指令 SKILL.md 编码了完整的内容方法论——从核心观点到互动钩子的树状思考体系，支持微信公众号、小红书、抖音三平台完全不同的写作风格。隐式推理设计让 AI 在"后台"完成深度分析，用户只看到创作成果。A self-media creation engine based on 11 content insight dimensions. 240-line pure-instruction SKILL.md encoding a complete content methodology — a tree-structured thinking system from core thesis to interaction hooks, supporting three completely different writing styles for WeChat, Xiaohongshu, and Douyin. Implicit reasoning design lets AI complete deep analysis in the "background" while users only see creative output.