[POC] Add Hugo landing page in website subdirectory

.github/workflows/hugo.yml

@@ -0,0 +1,64 @@
+name: Deploy Hugo site to Pages
+
+on:
+  push:
+    branches:
+      - main
+  workflow_dispatch:
+
+permissions:
+  contents: read
+  pages: write
+  id-token: write
+
+concurrency:
+  group: "pages"
+  cancel-in-progress: false
+
+defaults:
+  run:
+    shell: bash
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    env:
+      HUGO_VERSION: 0.139.0
+    steps:
+      - name: Install Hugo CLI
+        run: |
+          wget -O ${{ runner.temp }}/hugo.deb https://github.com/gohugoio/hugo/releases/download/v${HUGO_VERSION}/hugo_extended_${HUGO_VERSION}_linux-amd64.deb \
+          && sudo dpkg -i ${{ runner.temp }}/hugo.deb
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          submodules: recursive
+          fetch-depth: 0
+      - name: Setup Pages
+        id: pages
+        uses: actions/configure-pages@v5
+      - name: Build with Hugo
+        env:
+          HUGO_CACHEDIR: ${{ runner.temp }}/hugo_cache
+          HUGO_ENVIRONMENT: production
+        working-directory: ./website
+        run: |
+          hugo \
+            --gc \
+            --minify \
+            --baseURL "${{ steps.pages.outputs.base_url }}/"
+      - name: Upload artifact
+        uses: actions/upload-pages-artifact@v3
+        with:
+          path: ./website/public
+
+  deploy:
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+    runs-on: ubuntu-latest
+    needs: build
+    steps:
+      - name: Deploy to GitHub Pages
+        id: deployment
+        uses: actions/deploy-pages@v4

.gitignore

@@ -44,4 +44,9 @@ docs/_spelling/
 *.db
 
 # uv lock files
-uv.lock
+uv.lock
+
+# Hugo build output
+/website/public/
+/website/resources/
+/website/.hugo_build.lock

website/LANDING_PAGE.md

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+# SkyRL Landing Page
+
+This directory contains a Hugo-based landing page for SkyRL.
+
+## Local Development
+
+### Prerequisites
+Install Hugo (extended version recommended):
+```bash
+# macOS
+brew install hugo
+
+# Or download from https://github.com/gohugoio/hugo/releases
+```
+
+### Running Locally
+```bash
+hugo server -D
+```
+
+Then visit http://localhost:1313/SkyRL/
+
+### Building
+```bash
+hugo --gc --minify
+```
+
+The built site will be in the `public/` directory.
+
+## Deployment
+
+The landing page automatically deploys to GitHub Pages when you push to the main branch.
+
+### Setup GitHub Pages (one-time)
+1. Go to repository Settings → Pages
+2. Under "Source", select "GitHub Actions"
+3. The workflow in `.github/workflows/hugo.yml` will handle deployment
+
+The site will be available at: https://novasky-ai.github.io/SkyRL/
+
+## Structure
+
+- `content/_index.md` - Landing page markdown content
+- `layouts/` - Hugo templates and layouts
+- `hugo.toml` - Hugo configuration
+- `.github/workflows/hugo.yml` - Automated deployment workflow

website/content/_index.md

@@ -0,0 +1,68 @@
+---
+title: "SkyRL - Full-Stack RL for LLMs"
+---
+
+<header class="site-header">
+  <h1>SkyRL</h1>
+  <p class="subheadline">
+    A modular full-stack reinforcement learning library for training real-world, long-horizon agents with LLMs
+  </p>
+</header>
+
+## Why SkyRL?
+
+<div class="value-props">
+  <div class="value-prop">
+    <h3>🏗️ Modular</h3>
+    <p>Composable training framework, environment library, and agent pipelines. Use what you need, extend what you want.</p>
+  </div>
+  <div class="value-prop">
+    <h3>⚡ Performant</h3>
+    <p>Optimized for distributed RL training at scale. Built for real-world production workloads.</p>
+  </div>
+  <div class="value-prop">
+    <h3>🌍 Real-World Tasks</h3>
+    <p>Designed for long-horizon, multi-turn tool use on complex environments like SWE-Bench and Text-to-SQL.</p>
+  </div>
+</div>
+
+## Get Started
+
+<div class="code-section">
+  <h3>Quick Start</h3>
+
+```python
+from skyrl.gym import make_env
+from skyrl.train import RLTrainer
+
+# Create environment and configure trainer
+env = make_env("math-solver")
+trainer = RLTrainer(
+    model="meta-llama/Llama-3-8B",
+    env=env,
+    algorithm="ppo"
+)
+
+# Train your agent
+trainer.train(num_iterations=1000)
+```
+
+</div>
+
+<div class="traction">
+  <h3>Trusted By</h3>
+  <div class="companies">
+    <div class="company">Anyscale</div>
+    <div class="company">Scale AI</div>
+    <div class="company">Datadog</div>
+  </div>
+</div>
+
+<div class="cta-section">
+  <a href="https://github.com/NovaSky-AI/SkyRL" class="button">View on GitHub</a>
+  <a href="https://skyrl.readthedocs.io/" class="button button-secondary">Documentation</a>
+</div>
+
+<footer>
+  <p>Built at <a href="https://sky.cs.berkeley.edu/">Berkeley Sky Computing Lab</a></p>
+</footer>

website/hugo.toml

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+baseURL = 'https://novasky-ai.github.io/SkyRL/'
+languageCode = 'en-us'
+title = 'SkyRL'
+
+[params]
+  description = 'A modular full-stack RL library for training real-world agents with LLMs'
+
+[markup]
+  [markup.goldmark]
+    [markup.goldmark.renderer]
+      unsafe = true
+  [markup.highlight]
+    style = 'github'
+    lineNos = false
+    lineNumbersInTable = false