← All Commands 📥 Capture

/note-meeting

Meeting Notes

Dump your meeting notes and AI extracts structured sections: Decisions (highest priority), Key Points, and Action Items with @Owner assignments and deadline parsing. Attendees auto-detected from mentions.

Quick Example

Claude Code
/note-meeting Decided to use JWT for auth. @Alex: implement by Friday. @Sam: write tests next week. Key point: we need to support refresh tokens.

1 decision, 1 key point, 2 action items with owners and deadlines.

Screenshot Placeholder

Result: Meeting Notes sticky note (blue color) created from the command above

Key Features

Decision Extraction

Finds phrases like "decided to", "agreed on", "going with" and highlights them as top-priority items.

👤

Action Items with Owners

Creates @Owner: task (by deadline) format. Owners auto-detected from mentions.

📅

Deadline Parsing

Extracts dates and timeframes from natural language — "by Friday", "next week", "end of sprint".

📌

Smart Limits

Max 5 decisions, 7 key points, 7 action items. Keeps notes scannable and actionable.

Real-World Examples

Sprint planning

/note-meeting Decided to use JWT for auth. @Alex: implement by Friday. @Sam: write tests next week. Key point: we need to support refresh tokens.

1 decision, 1 key point, 2 action items with owners and deadlines.

Quick sync

/note-meeting Going with React Query instead of SWR. Need to update all fetch hooks.

1 decision extracted, 1 key point, implicit action item.

Retrospective

/note-meeting Agreed on 2-week sprints. Too many context switches last month. @Team: limit WIP to 3 items.

Decision, observation, and team-wide action item.

Smart Extraction

Dump your raw meeting notes and AI extracts three categories:

Decisions (Highest Priority)

Phrases that trigger decision extraction:

  • “decided to”, “agreed on”, “chose”, “going with”, “settled on”

Key Points

Discussion topics, observations, and important context that doesn’t fit into decisions or actions.

Action Items

Converted to checkboxes with owner and deadline:

- [ ] @Alex: Implement JWT auth (by Friday)
- [ ] @Sam: Write integration tests (next week)

Attendee Detection

Attendees are auto-detected from:

  • Explicit mentions: “With @Alex, @Sam, and @Jordan”
  • Action item owners: anyone assigned a task
  • No need to list attendees separately

Output Limits

To keep notes scannable and useful:

SectionMax Items
Decisions5
Key Points7
Action Items7

Section Priority

When the input is ambiguous:

  1. Decisions — always extracted first (highest business value)
  2. Key Points — supporting context
  3. Action Items — as checkboxes for tracking

Tips for Best Results

  • Mention names with @ prefix for cleaner owner detection
  • Include explicit deadlines (“by Friday”, “next sprint”)
  • Use decision language (“we decided”, “agreed on”) for clear extraction

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Full demo: typing /note-meeting in the terminal, AI processing the input, and a blue sticky note appearing on screen with the formatted result

Try It Now

Download SlashNote and install the Claude Code plugin

Download on the App Store