docs: add ecosystem section linking all Skill Seekers repos

Add cross-repo discoverability for the 6 related repositories
(website, configs, GitHub Action, plugin, Homebrew tap, MCP servers).

- README.md: ecosystem table, Trendshift badge, pepy.tech downloads badge
- All 11 translated READMEs: translated ecosystem sections
- CONTRIBUTING.md: related repositories table for contributors
- pyproject.toml: ecosystem URLs in [project.urls] for PyPI sidebar

Addresses contributor feedback about difficulty finding the website repo.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

README.md

@@ -18,6 +18,9 @@ English | [简体中文](README.zh-CN.md) | [日本語](README.ja.md) | [한국
 [![Website](https://img.shields.io/badge/Website-skillseekersweb.com-blue.svg)](https://skillseekersweb.com/)
 [![Twitter Follow](https://img.shields.io/twitter/follow/_yUSyUS_?style=social)](https://x.com/_yUSyUS_)
 [![GitHub Repo stars](https://img.shields.io/github/stars/yusufkaraaslan/Skill_Seekers?style=social)](https://github.com/yusufkaraaslan/Skill_Seekers)
+[![PyPI Downloads](https://static.pepy.tech/personalized-badge/skill-seekers?period=total&units=INTERNATIONAL_SYSTEM&left_color=BLACK&right_color=GREEN&left_text=downloads)](https://pepy.tech/projects/skill-seekers)
+
+<a href="https://trendshift.io/repositories/18329" target="_blank"><img src="https://trendshift.io/api/badge/repositories/18329" alt="yusufkaraaslan%2FSkill_Seekers | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 
 **🧠 The data layer for AI systems.** Skill Seekers turns documentation sites, GitHub repos, PDFs, videos, notebooks, wikis, and 10+ more source types into structured knowledge assets—ready to power AI Skills (Claude, Gemini, OpenAI), RAG pipelines (LangChain, LlamaIndex, Pinecone), and AI coding assistants (Cursor, Windsurf, Cline) in minutes, not hours.
 
@@ -25,6 +28,22 @@ English | [简体中文](README.zh-CN.md) | [日本語](README.ja.md) | [한국
 
 > 📋 **[View Development Roadmap & Tasks](https://github.com/users/yusufkaraaslan/projects/2)** - 134 tasks across 10 categories, pick any to contribute!
 
+## 🌐 Ecosystem
+
+Skill Seekers is a multi-repo project. Here's where everything lives:
+
+| Repository | Description | Links |
+|-----------|-------------|-------|
+| **[Skill_Seekers](https://github.com/yusufkaraaslan/Skill_Seekers)** | Core CLI & MCP server (this repo) | [PyPI](https://pypi.org/project/skill-seekers/) |
+| **[skillseekersweb](https://github.com/yusufkaraaslan/skillseekersweb)** | Website & documentation | [Live](https://skillseekersweb.com/) |
+| **[skill-seekers-configs](https://github.com/yusufkaraaslan/skill-seekers-configs)** | Community config repository | |
+| **[skill-seekers-action](https://github.com/yusufkaraaslan/skill-seekers-action)** | GitHub Action for CI/CD | |
+| **[skill-seekers-plugin](https://github.com/yusufkaraaslan/skill-seekers-plugin)** | Claude Code plugin | |
+| **[homebrew-skill-seekers](https://github.com/yusufkaraaslan/homebrew-skill-seekers)** | Homebrew tap for macOS | |
+| **[awesome-mcp-servers](https://github.com/yusufkaraaslan/awesome-mcp-servers)** | Curated MCP servers list | |
+
+> **Want to contribute?** The website and configs repos are great starting points for new contributors!
+
 ## 🧠 The Data Layer for AI Systems
 
 **Skill Seekers is the universal preprocessing layer** that sits between raw documentation and every AI system that consumes it. Whether you are building Claude skills, a LangChain RAG pipeline, or a Cursor `.cursorrules` file — the data preparation is identical. You do it once, and export to all targets.