Identify action items and unanswered questions in Beeper messages.
npx skills add https://github.com/DavidTeju/shared-skills --skill message-review
Please help me install this Agent Skill. Skill: message-review Source: https://github.com/DavidTeju/shared-skills/tree/main/skills/message-review Command: npx skills add https://github.com/DavidTeju/shared-skills --skill message-review
Scan Beeper messages across platforms to identify action items, unanswered questions, and unfulfilled plans, helping you surface priorities and reduce follow-up fatigue.
Ask the assistant to run /message-review to identify action items and unfulfilled plans across Beeper messages and export results to Notion and Markdown.
High-intent search queries and answers about installing and using this skill.
Run message extraction by scanning Beeper messages across platforms to identify action items, unanswered questions, and unfulfilled plans, then exporting the categorized results to a Notion Todo List and Markdown with priority signals.
Track unanswered questions by scanning Beeper message content to detect inquiries needing your response, flagging them as time-sensitive items, and categorizing them for follow-up to reduce follow-up fatigue.
Yes, you can export detected action items to a Notion Todo List. The message review process resolves contacts and outputs categorized priorities and unanswered questions directly to Notion and Markdown formats.
Beeper message review works for morning briefings and inbox reminders by analyzing chat text to surface others' proposals you may have overlooked and highlighting immediate actions like appointments or deadlines.
Identify time-sensitive deadlines by applying robust text analysis to your message history to flag appointments, deadlines, and others' proposals requiring immediate confirmation and scheduling.
Automating message parsing for unfulfilled plans relies on robust text analysis, meaning its accuracy depends on clear text patterns and contact resolution, potentially struggling with ambiguous chat context or implicit scheduling.
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