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+{
+  "id": "content-amplifier-pipeline",
+  "title": "Content Amplifier Pipeline",
+  "description": "Transform YouTube educational content into multi-platform learning materials: extract transcripts, generate visual summaries, create dev.to articles, and deploy a companion website.",
+  "category": "Content Transformation & Education",
+  "job": "content-automation",
+  "example_prompt": "Take this YouTube video about machine learning fundamentals and create a comprehensive learning package with article, visuals, and deployed website.",
+  "example_result": "Content transformation complete! Here's what I created:\n\n1. Transcript Extraction (YouTube Transcript Extension):\n   - Extracted full transcript from 45-minute ML fundamentals video\n   - Identified key concepts and timestamps\n\n2. Visual Summary Creation (Auto Visualiser Extension):\n   - Generated 5 concept diagrams (neural networks, gradient descent, etc.)\n   - Created learning progress chart\n   - Saved visualizations to cloud\n\n3. Article Generation (Dev.to Extension):\n   - Published comprehensive article with code examples\n   - Added generated visualizations inline\n   - Article URL: dev.to/user/ml-fundamentals-explained\n\n4. Website Deployment (Vercel Extension):\n   - Created interactive learning site with transcript sections\n   - Embedded visualizations and code playground\n   - Live at: ml-fundamentals.vercel.app\n\nFeatures:\n✓ End-to-end content transformation\n✓ Multi-format output (visual, written, interactive)\n✓ Automated deployment\n✓ Cross-platform distribution\n\nNext steps:\n1. Share on Reddit's r/learnmachinelearning?\n2. Create PDF study guide?\n3. Generate speech narration?",
+  "extensions": [
+    {
+      "name": "YouTube Transcript Extension",
+      "description": "Extracts and processes YouTube video transcripts for analysis and transformation.",
+      "is_builtin": false,
+      "environmentVariables": []
+    },
+    {
+      "name": "Auto Visualiser Extension",
+      "description": "Automatically generates data visualizations and concept diagrams from text content.",
+      "is_builtin": true,
+      "environmentVariables": []
+    },
+    {
+      "name": "Dev.to Extension",
+      "description": "Creates and publishes technical articles on the Dev.to platform.",
+      "is_builtin": false,
+      "environmentVariables": []
+    },
+    {
+      "name": "Vercel Extension",
+      "description": "Deploys websites and web applications to Vercel's hosting platform.",
+      "is_builtin": false,
+      "environmentVariables": []
+    }
+  ]
+}
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