meeting-autopilot

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name: meeting-autopilot description: > Turn meeting transcripts into operational outputs — action items, decisions, follow-up email drafts, and ticket drafts. Not a summarizer. An operator. Accepts VTT, SRT, or plain text. Multi-pass LLM extraction. version: 0.1.1 author: Anvil AI tags: [meetings, productivity, action-items, email-drafts, transcripts, operations, discord, discord-v2]

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✈️ Meeting Autopilot

Turn meeting transcripts into structured operational outputs — NOT just summaries.

Activation

This skill activates when the user mentions:

"meeting transcript", "meeting notes", "meeting autopilot"

"action items from meeting", "meeting follow-up"

"process this transcript", "analyze this meeting"

"extract decisions from meeting", "meeting email draft"

Uploading or pasting a VTT, SRT, or text transcript

Permissions

permissions:
  exec: true          # Run extraction scripts
  read: true          # Read transcript files
  write: true         # Save history and reports
  network: true       # LLM API calls (Anthropic or OpenAI)

Requirements

bash, jq, python3, curl (typically pre-installed)

ANTHROPIC_API_KEY or OPENAI_API_KEY environment variable

Agent Workflow

Step 1: Get the Transcript

Ask the user for their meeting transcript. Accept any of:

A file path to a VTT, SRT, or TXT file

Pasted text directly in the conversation

A file upload

The skill auto-detects the format (VTT, SRT, or plain text).

Important: This skill does NOT do audio transcription. If the user has an audio/video file, suggest they use:

Zoom/Google Meet/Teams built-in transcription

Otter.ai or Fireflies.ai for recording + transcription

whisper.cpp for local transcription

Step 2: Get Optional Context

Ask for (but don't require):

Meeting title — helps with email subject lines and report headers

If not provided, the skill derives it from the filename or uses "Meeting [date]"

Step 3: Run the Autopilot

Save the transcript to a temporary file if pasted, then run:

bash "$SKILL_DIR/scripts/meeting-autopilot.sh"  --title "Meeting Title"

Or from stdin:

echo "$TRANSCRIPT" | bash "$SKILL_DIR/scripts/meeting-autopilot.sh" - --title "Meeting Title"

The script handles all three passes automatically: 1. Parse — normalize the transcript format 2. Extract — pull out decisions, action items, questions via LLM 3. Generate — create email drafts, ticket drafts, beautiful report

Step 4: Present the Report

The script outputs a complete Markdown report to stdout. Present it directly — the formatting is designed to look great in Slack, email, or any Markdown renderer.

The report includes:

📊 Overview table (counts by category)

✅ Decisions with rationale

📋 Action items table (owner, deadline, status)

❓ Open questions

🅿️ Parking lot items

📧 Follow-up email draft(s) — ready to send

🎫 Ticket/issue drafts — ready to file

Discord v2 Delivery Mode (OpenClaw v2026.2.14+)

When the conversation is happening in a Discord channel:

Send a compact first summary (decision count, action-item count, top owners), then ask if the user wants full report sections.

Keep the first response under ~1200 characters and avoid long tables in the first message.

If Discord components are available, include quick actions:

- Show Action Items - Show Follow-Up Email Draft - Show Ticket Drafts

If components are not available, provide the same follow-ups as a numbered list.

Prefer short follow-up chunks (<=15 lines per message) for long reports.

Step 5: Offer Next Steps

After presenting the report, offer: 1. "Want me to refine any of the email drafts?" 2. "Should I adjust any action item assignments?" 3. "Want to save this report to a file?" 4. "I can also process another meeting — transcripts from different meetings build up a tracking history."

Error Handling

| Situation | Behavior | |-----------|----------| | No API key set | Print branded error with setup instructions | | Transcript too short (<20 chars) | Suggest pasting more content or checking file path | | Empty LLM response | Report API issue, suggest checking key/network | | No items extracted | Report "meeting may not have had actionable content" — still show key points if any | | Unsupported file format | Suggest --format txt to force plain text parsing |

Notes for the Agent

The report is the star. Present it in full. Don't summarize the summary.

Follow-up emails are the WOW moment. Highlight them — they're ready to copy and send.

Be proactive: After the report, suggest specific improvements based on what was found.

Cross-meeting tracking: Items are automatically saved to ~/.meeting-autopilot/history/. Mention this — it's a preview of the v1.1 feature that tracks commitments across meetings.

If the transcript has no speaker labels, mention that adding "Speaker: text" format improves attribution accuracy.

References

scripts/meeting-autopilot.sh — Main orchestrator (the only entry point you need)

scripts/parse-transcript.sh — Transcript parser (VTT/SRT/TXT → JSONL)

scripts/extract-items.sh — LLM extraction + classification

scripts/generate-outputs.sh — Operational output generation + report formatting