digest▌

Automated tech news digest system with unified data source model, quality scoring pipeline, and template-based output generation. \n \n Collects from six sources in parallel: RSS feeds, Twitter/X KOLs, GitHub releases and trending repos, Reddit posts, and web search, with deduplication and quality scoring across all sources \n Includes 151 pre-configured sources (62 RSS feeds, 48 Twitter accounts, 28 GitHub repos, 13 subreddits, plus web search) covering AI, crypto, and frontier tech topics \n S

Weekly summary combining this week's calendar meetings and unread email count. \n \n Aggregates two data sources: upcoming meetings from Google Calendar and unread message count from Gmail \n Read-only operation that never modifies any data \n Supports multiple output formats: JSON (default), table, YAML, and CSV for flexible integration with other tools \n Requires prior authentication setup via the shared gws-shared skill module \n

Help the user quickly distill a Yuque document into a structured reading digest with key takeaways, core arguments, and actionable insights.

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

콘텐츠 → Quiz-First 학습 → 선택적 깊이 탐색 → 근본 개념 확장.

AI-curated daily digest from 90 top tech blogs with scoring, filtering, and Markdown output with Chinese translations, category grouping, and visual statistics. \n \n Fetches RSS feeds from Karpathy-recommended blogs (Hacker News Popularity Contest 2025), scores articles via Gemini or OpenAI API, and generates daily summaries with trend highlights and key metrics \n Outputs include Top 3 previews, category-grouped article lists, Mermaid charts, tag clouds, and ASCII-friendly terminal statistics

Build three content-fetching and learning skills by creating fetch-tweet, fetch-youtube, and content-digest from scratch. \n \n Learn a two-phase workflow (EXPLAIN + EXECUTE in turn 1, QUIZ in turn 2) that enforces hands-on practice before assessment \n Create fetch-tweet to retrieve and translate X/Twitter content via API, then fetch-youtube to extract and correct YouTube captions using yt-dlp and web search \n Build content-digest with Quiz-First learning methodology, which improves retention

funding-digest

Use this skill to build a current reading list from the feed bundle in references/feeds.opml. Default to the most recent 7 days ending on the current date in Asia/Shanghai, and narrow to a single day only when the user explicitly asks for it.