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Introduced a new prompt for content amplification that integrates multi-step workflows using official Goose extensions. Closes Issue #4998 (#5050)

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Signed-off-by: Anudhyan Datta <127120520+Anudhyan@users.noreply.github.com>
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Anudhyan Datta
2025-10-08 22:34:14 +05:30
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documentation/src/pages/prompt-library/data/prompts/content-amplifier-pipeline.json
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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": []
}
]
}