chore(templates): update modules to latest commits

content/blog/notebook-onboarding/hugoblox-onboarding.ipynb

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+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "id": "2f21e4c5",
+      "metadata": {},
+      "source": [
+        "# Ship Notebook Stories in Minutes\n",
+        "Hugo Blox Notebook renderer turns your `.ipynb` experiments into beautiful long-form posts.\n",
+        "Use this sample to see how markdown, code, and outputs flow together."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "3078072c",
+      "metadata": {},
+      "source": [
+        "1. Drop notebooks inside `assets/notebooks/` (or import them as page resources).\n",
+        "2. Reference them with `{{</* notebook src=\"your.ipynb\" */>}}`.\n",
+        "3. Control code, outputs, metadata badges, and download links via shortcode params."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "id": "7b29b28a",
+      "metadata": {
+        "tags": [
+          "demo",
+          "quickstart"
+        ]
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Collecting data...\n",
+            "Training notebook-ready block...\n",
+            "Done!\n"
+          ]
+        },
+        {
+          "data": {
+            "text/plain": [
+              "0.982"
+            ]
+          },
+          "execution_count": 1,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "import math\n",
+        "accuracy = 0.982\n",
+        "print(\"Collecting data...\")\n",
+        "print(\"Training notebook-ready block...\")\n",
+        "print(\"Done!\")\n",
+        "accuracy"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "id": "ceecfe89",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "<div style='font-family:Inter,ui-sans-serif;'><strong>Launch Readiness:</strong> <span style='color:#22c55e;'>98.2% confidence</span><br><em>Notebook blocks are theme-aware and dark-mode friendly.</em></div>"
+            ],
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "from IPython.display import HTML\n",
+        "HTML(\"<div style='font-family:Inter,ui-sans-serif;'><strong>Launch Readiness:</strong> <span style='color:#22c55e;'>98.2% confidence</span><br><em>Notebook blocks are theme-aware and dark-mode friendly.</em></div>\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "id": "664e49ca",
+      "metadata": {
+        "tags": [
+          "metrics"
+        ]
+      },
+      "outputs": [
+        {
+          "data": {
+            "application/json": {
+              "metrics": {
+                "engagement_rate": 0.73,
+                "read_time_minutes": 4.6,
+                "subscribers": 1280
+              }
+            },
+            "text/plain": [
+              "{'metrics': {'engagement_rate': 0.73, 'read_time_minutes': 4.6, 'subscribers': 1280}}"
+            ]
+          },
+          "execution_count": 3,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "metrics = {\n",
+        "    'metrics': {\n",
+        "        'engagement_rate': 0.73,\n",
+        "        'read_time_minutes': 4.6,\n",
+        "        'subscribers': 1280\n",
+        "    }\n",
+        "}\n",
+        "metrics"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "0f761ba1",
+      "metadata": {},
+      "source": [
+        "> Tip: Pair this block with Call-to-Action cards or the Embed shortcode to link to GitHub repos, datasets, or ARXIV preprints."
+      ]
+    }
+  ],
+  "metadata": {
+    "authors": [
+      {
+        "name": "HugoBlox Studio"
+      }
+    ],
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.11"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 5
+}

content/blog/notebook-onboarding/index.md

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+---
+title: ⚡️ Turn Jupyter Notebooks into Blog Posts
+summary: Publish your data science and research directly from Jupyter Notebooks. No screenshots required.
+date: 2024-07-15
+authors:
+  - admin
+tags:
+  - Hugo Blox
+  - Jupyter
+  - Open Science
+  - Tutorials
+cover:
+  # image: cover.jpg  # Auto-detected from cover image in this folder
+  icon:
+    name: "📔"
+image:
+  caption: "Image credit: [HugoBlox](https://hugoblox.com)"
+  focal_point: Center
+  placement: 1
+content_meta:
+  trending: true
+---
+
+As a researcher or data scientist, your work often lives in Jupyter Notebooks. But sharing those insights effectively usually means taking screenshots, messy copy-pasting, or exporting to PDF.
+
+Hugo Blox changes that. With the `{{</* notebook */>}}` shortcode, you can render your actual `.ipynb` files directly as beautiful, interactive blog posts or project pages. Keep your code, outputs, and narrative in one place.
+
+{{< toc mobile_only=true is_open=true >}}
+
+## Why publish notebooks?
+
+> [!TIP]
+> **Reproducible Research**: By publishing the actual notebook, you allow others to download and run your code, verifying your results and building upon your work.
+
+- **No more screenshots** – Render crisp code and vector plots directly from your source.
+- **Theme consistent** – Notebooks automatically adapt to your site's theme (including dark mode).
+- **Flexible sourcing** – Display notebooks from your `assets/` folder, page bundles, or even directly from a remote GitHub URL.
+- **Interactive** – Users can copy code blocks or download the full notebook to run locally.
+
+## Example: Data Science Workflow
+
+Below is a live example of a notebook rendered right here in this post. Notice how the markdown, code, and outputs (text, HTML, and JSON) are all preserved and styled.
+
+{{< notebook
+    src="hugoblox-onboarding.ipynb"
+    title="Launch Readiness Analysis"
+    show_metadata=true
+    line_numbers=true
+    dense=false
+    download_label="Download notebook"
+    show_outputs=true
+>}}
+
+## How to add a notebook
+
+1. **Save your notebook.** Place your `.ipynb` file in `assets/notebooks/` (for global access) or inside a page bundle (like `content/blog/my-post/analysis.ipynb`).
+2. **Add the shortcode.** In any Markdown page, simply use:
+   `{{</* notebook src="analysis.ipynb" */>}}`
+3. **Customize.** You can hide code cells for non-technical audiences (`show_code=false`) or just show the output (`show_outputs=true`).
+
+> [!IMPORTANT]
+> Hugo Blox respects your privacy. Notebook rendering happens statically at build time—no third-party services required.
+
+## Next steps
+
+- **Try it out:** Drop one of your existing notebooks into this site and see how it looks.
+- **Link your papers:** Use the Embed shortcode to link your notebook to your latest arXiv preprint or GitHub repository.
+- **Get help:** Join the community on [Discord](https://discord.gg/z8wNYzb) or check the [documentation](https://docs.hugoblox.com).
+
+Happy researching! 🚀