andara-meeting-minutes

Capture meeting summaries and action items from voice or text

3,891 stars

Best use case

andara-meeting-minutes is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Capture meeting summaries and action items from voice or text

Teams using andara-meeting-minutes should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/andara-meeting-minutes/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/atiati82/andara-meeting-minutes/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/andara-meeting-minutes/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How andara-meeting-minutes Compares

Feature / Agentandara-meeting-minutesStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Capture meeting summaries and action items from voice or text

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Meeting Minutes Skill

When ATTi or a team member sends a meeting summary (voice or text), save it as a structured record.

## Trigger
When user says something like "Meeting Notes:", "Besprechungsnotizen:", or "save meeting" — parse the content and store it.

## Steps

1. Extract the meeting topic, attendees, decisions, and action items from the message.

2. Save to PostgreSQL using bash + psql:
```bash
psql "$DATABASE_URL" -c "
INSERT INTO team_meetings (title, summary, attendees, meeting_date, created_at)
VALUES ('TOPIC', 'SUMMARY', ARRAY['ATTENDEE1','ATTENDEE2'], NOW(), NOW())
RETURNING id;"
```

3. For each action item, insert into meeting_action_items:
```bash
psql "$DATABASE_URL" -c "
INSERT INTO meeting_action_items (meeting_id, assignee, description, due_date, status, created_at)
VALUES (MEETING_ID, 'ASSIGNEE', 'TASK DESCRIPTION', 'DUE_DATE', 'pending', NOW());"
```

4. Confirm to the user: "Meeting gespeichert ✅ — [X] Action Items erstellt."

## Output Format
Reply in German with a structured summary:
- 📋 Meeting: [Title]
- 👥 Teilnehmer: [Names]
- ✅ Action Items: [List with assignees]
- 📅 Nächstes Treffen: [if mentioned]

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