Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
meeting-autopilot
Turn meeting transcripts into operational outputs — action items, decisions, follow-up email drafts, and ticket drafts. Not a summarizer. An operator. Accept...
skill openclawclawhub Free
Turn meeting transcripts into operational outputs — action items, decisions, follow-up email drafts, and ticket drafts. Not a summarizer. An operator. Accept...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- CHANGELOG.md, README.md, SECURITY.md, SKILL.md, scripts/common.sh, scripts/extract-items.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.2
Provenance
- Publisher
- tkuehnl
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
✈️ 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
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 "$SKILL_DIR/scripts/meeting-autopilot.sh" <transcript_file> --title "Meeting Title" Or from stdin: echo "$TRANSCRIPT" | bash "$SKILL_DIR/scripts/meeting-autopilot.sh" - --title "Meeting Title" The script handles all three passes automatically: Parse — normalize the transcript format Extract — pull out decisions, action items, questions via LLM 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: "Want me to refine any of the email drafts?" "Should I adjust any action item assignments?" "Want to save this report to a file?" "I can also process another meeting — transcripts from different meetings build up a tracking history."
Error Handling
SituationBehaviorNo API key setPrint branded error with setup instructionsTranscript too short (<20 chars)Suggest pasting more content or checking file pathEmpty LLM responseReport API issue, suggest checking key/networkNo items extractedReport "meeting may not have had actionable content" — still show key points if anyUnsupported file formatSuggest --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
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs2 Scripts
- SKILL.md
- CHANGELOG.md
- README.md
- SECURITY.md
- scripts/common.sh
- scripts/extract-items.sh