Rank Telegram posts by engagement and write a weekly recap article.
npx skills add https://github.com/anajuliabit/aeon --skill channel-recap-anajuliabit
Please help me install this Agent Skill. Skill: Channel Recap Source: https://github.com/anajuliabit/aeon/tree/main/skills/channel-recap Command: npx skills add https://github.com/anajuliabit/aeon --skill channel-recap-anajuliabit
Channel Recap automatically scans a public Telegram channel’s last week, ranks posts by engagement, expands the most insightful ones into a coherent article, and saves you from manually curating and writing the recap yourself.
Ask the AI to generate a weekly recap for the Telegram channel by setting var to the channel username (without @) and running the skill so it produces a saved article and a notification.
High-intent search queries and answers about installing and using this skill.
To generate a weekly recap, the Skill fetches public Telegram channel posts over a 7-day window, ranks them by an engagement score of views plus reactions multiplied by 50, and expands the top posts into a saved markdown article.
Engagement ranking scores each Telegram post by calculating views plus reactions multiplied by 50, selecting the most interesting 6 to 12 items based on these signals rather than relying on chronological order.
No, you cannot monitor channels without public previews. The Skill validates that the Telegram channel exists and has public previews enabled before fetching and parsing the t.me/s pages with pagination.
The best way to curate Telegram content is using context-aware expansion, which fetches linked tweets and articles to turn raw engagement-ranked posts into a deeper, opinionated narrative for your weekly recap.
The generated weekly recap articles are saved as markdown files formatted as channel-recap-variable-today.md, while a condensed notification summary is saved to the notify directory for operational automation.
No specific dependencies are required to run the Telegram weekly digest workflow. The Skill autonomously handles fetching, pagination, retries, and deduplication of posts by text within its own processing logic.
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