Podcast Episode Fetcher
Get & manage Xiaoyuzhou or Apple Podcasts
Description
Why we love this skill
This skill accurately fetches podcast episodes, using pre-checking, multi-platform parsing, and intelligent deduplication to ensure complete and duplicate-free data. It excels in managing episodes in complex scenarios.
Easily fetch and manage your favorite podcast episodes from Xiaoyuzhou or Apple Podcasts, covering newly discovered channels and long-followed content alike. This tool intelligently identifies and retrieves the complete episode list based on the podcast name, host name, or social media ID you provide. We have specially optimized the fetching strategy, prioritizing data from Apple Podcasts for comprehensive results. For Xiaoyuzhou, despite its page loading limitations, we use multiple searches and smart matching to overcome constraints and collect as many historical episodes as possible. Fetched episodes are intelligently compared with your existing content, automatically identifying and removing duplicates to keep your podcast library tidy. Whether it's a series with uniform numbering or live recordings distinguished only by date and title, deduplication is precise. Finally, all new episode links are saved to your specified board or group, accompanied by a detailed save report that includes the source platform and potential data overwrite warnings.
Related Skills
View all
Podcast Summary
This skill provides structured summaries and analysis of podcast content, helping users quickly grasp the core ideas and value of any episode. Whether you're a listener, researcher, or content creator, you can efficiently organize and review podcast episodes using this tool. The skill can extract information from a podcast link (supports major platforms including Xiaoyuzhou, Apple Podcasts, Spotify, YouTube, and Ximalaya) or from user-provided transcripts. It intelligently retrieves metadata such as the episode title, guests, publication date, and show description, and attempts to fetch the full transcript or subtitles. Even if the original page lacks complete information, it will try to supplement content through web searches or cross-platform lookups to ensure comprehensive analysis. After content acquisition, the skill performs an in-depth analysis and generates a detailed note containing an overview, timeline, key quote highlights, and a reasoning progression. The overview summarizes the podcast topic in concise language, the timeline helps you quickly locate key discussions, the key quote highlights distill the guest's unique insights and core viewpoints, and the reasoning progression maps out the podcast's argument logic and thought development. Ultimately, you receive a clean, easy-to-read Markdown-format podcast note that supports direct download.
Materials to Viral Content
Intelligently transform various materials in your hands—whether articles, web content, video transcripts, course notes, meeting minutes, or even scattered ideas—into viral content suitable for multi-platform publishing. This assistant deeply explores the core perspectives, key information, and shareable golden quotes from your materials, and tailors a content strategy for you based on the characteristics of different platforms such as Xiaohongshu, WeChat Official Accounts, Zhihu, Douyin, and WeChat Moments. You will receive a detailed material transformation report, including a core summary, diverse communication angles, and specific content versions optimized for each platform. Whether you need a relatable experience sharing, a well-structured in-depth article, rigorous knowledge popularization, or fast-paced short video scripts and personalized WeChat Moments copy, this tool provides comprehensive support from a headline library to full content. At the same time, it also provides a self-check checklist to ensure that the content is faithful to the original text while precisely reaching the target audience, helping you easily create engaging content.
ResearchPodcast Insights Extractor
Decompose the analysis of a podcast episode into seven progressive layers: from basic information identification and topic module division, to in-depth analysis of each module, to global perspective knowledge integration, and finally to actionable summaries. It not only helps you extract 'what the guest said', but also guides you to ask 'why did they say that', 'what else was not said', and 'what can I do from this'.
Podcast Episode Fetcher
Get & manage Xiaoyuzhou or Apple Podcasts
Description
Why we love this skill
This skill accurately fetches podcast episodes, using pre-checking, multi-platform parsing, and intelligent deduplication to ensure complete and duplicate-free data. It excels in managing episodes in complex scenarios.
Easily fetch and manage your favorite podcast episodes from Xiaoyuzhou or Apple Podcasts, covering newly discovered channels and long-followed content alike. This tool intelligently identifies and retrieves the complete episode list based on the podcast name, host name, or social media ID you provide. We have specially optimized the fetching strategy, prioritizing data from Apple Podcasts for comprehensive results. For Xiaoyuzhou, despite its page loading limitations, we use multiple searches and smart matching to overcome constraints and collect as many historical episodes as possible. Fetched episodes are intelligently compared with your existing content, automatically identifying and removing duplicates to keep your podcast library tidy. Whether it's a series with uniform numbering or live recordings distinguished only by date and title, deduplication is precise. Finally, all new episode links are saved to your specified board or group, accompanied by a detailed save report that includes the source platform and potential data overwrite warnings.
Related Skills
View allPodcast Summary
This skill provides structured summaries and analysis of podcast content, helping users quickly grasp the core ideas and value of any episode. Whether you're a listener, researcher, or content creator, you can efficiently organize and review podcast episodes using this tool. The skill can extract information from a podcast link (supports major platforms including Xiaoyuzhou, Apple Podcasts, Spotify, YouTube, and Ximalaya) or from user-provided transcripts. It intelligently retrieves metadata such as the episode title, guests, publication date, and show description, and attempts to fetch the full transcript or subtitles. Even if the original page lacks complete information, it will try to supplement content through web searches or cross-platform lookups to ensure comprehensive analysis. After content acquisition, the skill performs an in-depth analysis and generates a detailed note containing an overview, timeline, key quote highlights, and a reasoning progression. The overview summarizes the podcast topic in concise language, the timeline helps you quickly locate key discussions, the key quote highlights distill the guest's unique insights and core viewpoints, and the reasoning progression maps out the podcast's argument logic and thought development. Ultimately, you receive a clean, easy-to-read Markdown-format podcast note that supports direct download.
Materials to Viral Content
Intelligently transform various materials in your hands—whether articles, web content, video transcripts, course notes, meeting minutes, or even scattered ideas—into viral content suitable for multi-platform publishing. This assistant deeply explores the core perspectives, key information, and shareable golden quotes from your materials, and tailors a content strategy for you based on the characteristics of different platforms such as Xiaohongshu, WeChat Official Accounts, Zhihu, Douyin, and WeChat Moments. You will receive a detailed material transformation report, including a core summary, diverse communication angles, and specific content versions optimized for each platform. Whether you need a relatable experience sharing, a well-structured in-depth article, rigorous knowledge popularization, or fast-paced short video scripts and personalized WeChat Moments copy, this tool provides comprehensive support from a headline library to full content. At the same time, it also provides a self-check checklist to ensure that the content is faithful to the original text while precisely reaching the target audience, helping you easily create engaging content.
ResearchPodcast Insights Extractor
Decompose the analysis of a podcast episode into seven progressive layers: from basic information identification and topic module division, to in-depth analysis of each module, to global perspective knowledge integration, and finally to actionable summaries. It not only helps you extract 'what the guest said', but also guides you to ask 'why did they say that', 'what else was not said', and 'what can I do from this'.
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