diff --git a/README.md b/README.md
index f92748102..36a6dfa4d 100644
--- a/README.md
+++ b/README.md
@@ -35,7 +35,6 @@
 - [📋 Detailed Process](#-detailed-process)
 - [🔍 Troubleshooting](#-troubleshooting)
 - [💬 Support](#-support)
-- [🤝 Community Friends](#-community-friends)
 - [🙏 Acknowledgements](#-acknowledgements)
 - [📄 License](#-license)
 
@@ -177,7 +176,9 @@ See Spec-Driven Development in action across different scenarios with these comm
 
 ## 🛠️ Community Friends
 
-Community-built tools that integrate with Spec Kit to enhance the SDD workflow:
+Community projects that extend, visualize, or build on Spec Kit:
+
+- **[cc-sdd](https://github.com/rhuss/cc-sdd)** - A Claude Code plugin that adds composable traits on top of Spec Kit with [Superpowers](https://github.com/obra/superpowers)-based quality gates, spec/code review, git worktree isolation, and parallel implementation via agent teams.
 
 - **[Spec Kit Assistant](https://marketplace.visualstudio.com/items?itemName=rfsales.speckit-assistant)** — A VS Code extension that provides a visual orchestrator for the full SDD workflow (constitution → specification → planning → tasks → implementation) with phase status visualization, an interactive task checklist, DAG visualization, and support for Claude, Gemini, GitHub Copilot, and OpenAI backends. Requires the `specify` CLI in your PATH.
 
@@ -784,14 +785,6 @@ rm gcm-linux_amd64.2.6.1.deb
 
 For support, please open a [GitHub issue](https://github.com/github/spec-kit/issues/new). We welcome bug reports, feature requests, and questions about using Spec-Driven Development.
 
-## 🤝 Community Friends
-
-Projects that extend, visualize, or build on Spec Kit:
-
-| Project | Description |
-|---------|-------------|
-| [cc-sdd](https://github.com/rhuss/cc-sdd) | Claude Code plugin that adds composable traits on top of Spec Kit: [Superpowers](https://github.com/obra/superpowers)-based quality gates, spec/code review, git worktree isolation, and parallel implementation via agent teams. |
-
 ## 🙏 Acknowledgements
 
 This project is heavily influenced by and based on the work and research of [John Lam](https://github.com/jflam).