What problem does it solve? Manually reviewing a week of Telegram channel posts to identify what mattered is time-consuming, and raw post dumps lack the context and narrative readers expect from a recap article. ## Core Features & Use Cases - Engagement-based ranking: Fetches 7 days of posts from the public t.me/s/ preview, parses views and reactions, and scores each post with views + (reactions Γ 50) to surface what actually landed. - Themed article generation: Selects 6β12 standout posts, researches linked tweets and articles, and writes a 750β1500 word article grouped by theme with inline engagement counts and post links. - Resilient fetching: Handles missing or private channels, paginates up to 15 pages, retries failed fetches, deduplicates forwarded posts, and falls back to a short recap on quiet weeks. - Use Case: A content curator follows a crypto research Telegram channel and wants a publishable weekly digest; the skill scans the week, ranks posts, expands the best ones with external context, saves the article, and sends a condensed notification. ## Quick Start Run the channel-recap skill with var set to a public Telegram channel username to generate this week's recap article.
