[README] add DataFlow-skills

Author: SunnyHaze

README-zh.md

@@ -47,7 +47,8 @@
 </div>
 
 ## 📰 0. 新闻
-
+* **[2026-05-22] DataFlow-Skills 正式发布！**
+  一个专门为 DataFlow 用户设计的skills和教程集合。👉 [DataFlow-Skills](https://github.com/OpenDCAI/DataFlow-Skills)
 * **[2026-02-02] 🖥️ DataFlow WebUI 正式发布！**
   通过一条命令 `dataflow webui` 即可启动可视化流水线构建器，在直观的网页界面中构建并运行 DataFlow 流水线。👉 [WebUI 文档](#dfwebui)
   <div style="display: flex; gap: 12px;">
@@ -107,7 +108,7 @@ DataFlow 是一个专门为从嘈杂来源（PDF、纯文本、低质量 QA）
 ## 🛠️ 3. DataFlow 套件
 
 DataFlow 套件提供了基本的算力设施，以配合 DataFlow 主仓库实现 LLM 数据准备的自动化和规模化。它由四个紧密集成的层组成：
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+* [DataFlow-Skills](https://github.com/OpenDCAI/DataFlow-Skills) – 一个专门为 DataFlow 用户设计的技能和教程集合，涵盖算子开发、流水线构建以及以数据为中心的 AI 最佳实践。
 * [DataFlow-WebUI](#dfwebui) – 一个直观的可视化界面，用于通过拖拽式算子工作流构建和管理复杂的数据流水线。
 * [DataFlow-Agent](https://github.com/OpenDCAI/DataFlow-Agent) – 一个由 AI 驱动的助手，根据用户的高层意图动态组合、执行和优化算子及流水线。
 * [DataFlow-Ecosystem](#awesome-dataflow) – 一个标准化的算子注册模块化分发层。它允许特定领域的模块（例如 [DataFlow-MM](https://github.com/OpenDCAI/DataFlow-MM)、DataFlow-AI4S）在统一的抽象下贡献可扩展库。

README.md

@@ -65,7 +65,8 @@ Turn raw data into high-quality LLM training datasets.🔧
 
 
 ## 📰 0. News
-
+* **[2026-05-22] DataFlow-Skills is now available!**
+  A collection of skills and tutorials for working with DataFlow. 👉 [DataFlow-Skills](https://github.com/OpenDCAI/DataFlow-Skills)
 * **[2026-02-02] 🖥️ DataFlow WebUI is now available!**
   Launch the visual pipeline builder with a single command: `dataflow webui`. Build and run DataFlow pipelines through an intuitive web interface. 👉 [WebUI Docs](#dfwebui)
   <div style="display: flex; gap: 12px;">
@@ -128,6 +129,7 @@ Through an `operator-based` design, DataFlow turns the entire data cleaning work
 
 ## 🛠️ 3. DataFlow Suite 
 The DataFlow Suite provides the essential infrastructure to automate and scale LLM data preparation with DataFlow main repository. It comprises four tightly integrated layers:
+- [DataFlow-Skills](https://github.com/OpenDCAI/DataFlow-Skills) – A collection of skills and tutorials for working with DataFlow, covering operator development, pipeline construction, and best practices for data-centric AI.
 
 - [DataFlow-WebUI](#dfwebui) – An intuitive, visual interface for constructing and managing complex data pipelines through a drag-and-drop operator workflow.