# Meeting Autopilot

> >

- **Type:** Skill
- **Install:** `agentstack add skill-cacheforge-ai-cacheforge-skills-meeting-autopilot`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [cacheforge-ai](https://agentstack.voostack.com/s/cacheforge-ai)
- **Installs:** 0
- **Category:** [Cloud & Infrastructure](https://agentstack.voostack.com/c/cloud-infrastructure)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [cacheforge-ai](https://github.com/cacheforge-ai)
- **Source:** https://github.com/cacheforge-ai/cacheforge-skills/tree/main/skills/meeting-autopilot
- **Website:** https://clawhub.com

## Install

```sh
agentstack add skill-cacheforge-ai-cacheforge-skills-meeting-autopilot
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# ✈️ 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

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

Or from stdin:
```bash
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

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [cacheforge-ai](https://github.com/cacheforge-ai)
- **Source:** [cacheforge-ai/cacheforge-skills](https://github.com/cacheforge-ai/cacheforge-skills)
- **License:** MIT
- **Homepage:** https://clawhub.com

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** yes
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-cacheforge-ai-cacheforge-skills-meeting-autopilot
- Seller: https://agentstack.voostack.com/s/cacheforge-ai
- Browse the marketplace: https://agentstack.voostack.com/browse

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