{"product_id":"transform-xiaoyuzhou-podcasts-into-structured-markdown-notes","title":"Transform Xiaoyuzhou Podcasts into Structured Markdown Notes","description":"\u003ch3\u003eTransform Xiaoyuzhou Podcasts into Structured Markdown Notes with Ease\u003c\/h3\u003e\n\u003cp\u003eUnlock the power of streamlined podcast analysis with our specialized skill that effortlessly converts Xiaoyuzhou FM episodes into organized Markdown notes. Experience a seamless workflow from episode parsing to structured note generation, all tailored to your podcast processing needs.\u003c\/p\u003e\n\n\u003ch3\u003eWhat This Skill Does\u003c\/h3\u003e\n\u003cp\u003eOur skill transforms Xiaoyuzhou FM podcast episodes into structured notes in just a few steps:\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eData Extraction:\u003c\/strong\u003e Parse the podcast episode link to retrieve vital details such as the episode title, podcast name, publication date, duration, direct audio link, shownotes, and chapters. If an official transcript is available, it is automatically utilized.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eTranscription:\u003c\/strong\u003e If no official transcript exists, audio files are downloaded, and an accurate transcription is generated.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eContent Classification:\u003c\/strong\u003e Determine the content type, such as finance, technology, business, interviews, general knowledge, or general content, using cues from the podcast name, shownotes, and the beginning of the transcription. If unclear, prompt user input.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eNote Creation:\u003c\/strong\u003e Populate the chosen template with the transcription and shownotes content, producing a ready-to-use Markdown note.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eFile Output:\u003c\/strong\u003e Deliver two comprehensive files to the user: a detailed Markdown note and a transcript in text format.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse Cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eAutomatically transcribe and summarize a Xiaoyuzhou episode when a user provides a podcast link.\u003c\/li\u003e\n  \u003cli\u003eOrganize existing audio files or transcripts into structured notes according to content type.\u003c\/li\u003e\n  \u003cli\u003eBatch process and catalog multiple episodes of a podcast series for efficient data reuse and reference.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical Details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eASR (Automated Speech Recognition):\u003c\/strong\u003e Utilizes advanced transcription processes to capture audio content accurately.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eAI Application Integration:\u003c\/strong\u003e Seamlessly integrates with Claude Code, Cursor, and Codex for optimal coding agent functionality.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eXiaoyuzhou Podcast Notes:\u003c\/strong\u003e Specifically tailored features for handling Xiaoyuzhou FM podcast episodes.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eRevolutionize your coding workflow by converting podcast episodes into actionable data with our targeted AI-driven solution. Ideal for developers and teams leveraging AI coding agents, this skill supports efficient podcast analysis and management.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003eweisi-gu\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/weisi-gu\/xiaoyuzhou-podcast-notes\" rel=\"nofollow noopener\" target=\"_blank\"\u003eweisi-gu\/xiaoyuzhou-podcast-notes\u003c\/a\u003e) and distributed under \u003cstrong\u003eMIT\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.\u003c\/p\u003e\n\u003cp\u003eYour purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":52752110584119,"sku":"MCP-WEISI-GU-XIAOYUZHOU-PODCAST-NOTES-XIAOYUZHOU-PODCAST-NOTES","price":14.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/R5V1Wgzxclm9pRDYXdtUX_80f08ac4019b49099e1bfdee4e9be585.jpg?v=1785488453","url":"https:\/\/mcpcart.com\/products\/transform-xiaoyuzhou-podcasts-into-structured-markdown-notes","provider":"SPF PRO","version":"1.0","type":"link"}