Meeting Lifecycle Management
Orchestrates the meeting lifecycle, from pre-meeting context analysis to automated capture of decisions and action items.
Prompt Example
Use the skill 'meeting-prep-followup' to orchestrate the meeting: [MEETING TOPIC]. Focus parameters (optional): [CORE POINTS].
Concrete examples
Use the skill 'meeting-prep-followup' to orchestrate the meeting: Q3 2026 Quarterly Planning. Focus parameters: resource allocation and milestone review.
This skill orchestrates the complete meeting lifecycle: pre-meeting briefing, real-time documentation, and systematic follow-up. It prioritizes information density and actionable outcomes over raw data collection.
Phase 1: Pre-Meeting Briefing. Aggregates context from message chains (`search_message_chains`), long-term memory (`search_longterm_memory`), indexed documentation, and web research to generate a concise briefing covering status, critical open questions, risks, and objectives.
Phase 2: Documentation & Extraction. Captures key discussion points and decisions during the meeting. It employs structured decision rules to strictly differentiate between transient notes (AI Notes) and durable, persistent facts (Long-Term Memory).
Phase 3: Follow-up Automation. Transforms decisions into structured long-term memory episodes and converts explicit action items into scheduled jobs or delegated subagent tasks, ensuring continuity and accountability.