NetEase Music Life Chronicle
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Please install @user_50487699/netease-music-chronicle according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
A long NetEase Cloud Music favorite playlist can be hard to read as a coherent personal history. This skill turns a public or link-visible My Favorite Music playlist into a structured chronicle report, outputting Markdown, multi-page HTML, and PDF.
How It Works
- Inputs: playlist link, current age, and optional context such as profession, city, or music history.
- Data fetch: the script extracts the playlist
id, retrieves song details in batches, and records title, artist, album, duration, add time, and release time with a 0.8 second interval. - Analysis: it measures yearly collection trends, top artists, language or region mix, duration preference, release era, high-frequency collection months, late-night saves, and single-day spikes.
- Writing: it combines age-stage context and personal details into a second-person narrative covering musical core, era divisions, taste coordinates, life arc, and song predictions.
- Delivery: it generates an A4-paginated
HTMLreport and attempts to convert it toPDFwith Playwright; if no browser is available, it can fall back to a ReportLab dark-theme PDF or direct HTML printing.
Boundaries
The playlist must be public or link-visible; fetching more than 5000 songs may take longer; NetEase Music API rate limits apply. Reported data should come from actual analysis results and should not be invented manually.
Use Cases
- Organize a public NetEase favorite playlist and generate a readable report on yearly trends and artist preferences.
- Turn multi-year music choices into a life-stage story for a milestone anniversary or personal review.
- Convert a liked-music playlist into multi-page HTML and PDF for printing or sharing a personal music archive.
- Extract late-night saves, high-frequency dates, and taste shifts from playlist data without manual spreadsheets.
Best For
- Personal users with a public NetEase favorite playlist who want to turn years of saves into a story
- Content creators who need to convert personal music data into Markdown and HTML reports
- Personal-data reviewers who want to analyze collection trends and artist preferences by life stage
- Users producing printable PDF music archives for memorial books or shareable pages
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