Autonomously collect and structure a user's personal content history from Chinese and international platforms (豆瓣, 小红书, B站, 微信读书, 抖音, Kindle, etc.) using browser automation, local file parsing, and system share-sheet intake. Use this skill whenever the user wants to: build a personal knowledge base from their consumption history, sync reading/watching/collecting records into a local database, set up an automated pipeline to continuously harvest their data from social or reading platforms, or feed their content history into an AI agent for analysis. Trigger even if the user just says "帮我把豆瓣数据导进来", "同步我的读书记录", or "抓取我收藏的内容" — any phrase implying cross-platform personal data ingestion should use this skill.
$npx -y skills add spacezephyr/read-buddy --skill read-personal-data-harvesterInstalls into the current project.
Run `npx skills use "https://github.com/spacezephyr/read-buddy" --skill "spacezephyr/read-buddy/read-personal-data-harvester"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/spacezephyr/read-buddy" that are relevant to the current task. Run `npx skills add "https://github.com/spacezephyr/read-buddy"` and select the relevant skills, then follow their instructions.