Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Zoom Meeting Assistance Rtms Unofficial Community
Zoom RTMS Meeting Assistant — start on-demand to capture meeting audio, video, transcript, screenshare, and chat via Zoom Real-Time Media Streams. Handles meeting.rtms_started and meeting.rtms_stopped webhook events. Provides AI-powered dialog suggestions, sentiment analysis, and live summaries with WhatsApp notifications. Use when a Zoom RTMS webhook fires or the user asks to record/analyze a meeting.
skill openclawclawhub Free
Zoom RTMS Meeting Assistant — start on-demand to capture meeting audio, video, transcript, screenshare, and chat via Zoom Real-Time Media Streams. Handles meeting.rtms_started and meeting.rtms_stopped webhook events. Provides AI-powered dialog suggestions, sentiment analysis, and live summaries with WhatsApp notifications. Use when a Zoom RTMS webhook fires or the user asks to record/analyze a meeting.
⬇ 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
- README.md, SKILL.md, chatWithClawdbot.js, convertMeetingMedia.js, index.js, muxMixedAudioAndActiveSpeakerVideo.js
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
- 0.1.3
Provenance
- Publisher
- tanchunsiong
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Zoom RTMS Meeting Assistant
Headless capture service for Zoom meetings using Real-Time Media Streams (RTMS). Receives webhook events, connects to RTMS WebSockets, records all media, and runs AI analysis via OpenClaw.
Webhook Events Handled
This skill processes two Zoom webhook events: meeting.rtms_started — Zoom sends this when RTMS is activated for a meeting. Contains server_urls, rtms_stream_id, and meeting_uuid needed to connect to the RTMS WebSocket. meeting.rtms_stopped — Zoom sends this when RTMS ends (meeting ended or RTMS disabled). Triggers cleanup: closes WebSocket connections, generates screenshare PDF, sends summary notification.
Webhook Dependency
This skill needs a public webhook endpoint to receive these events from Zoom. Preferred: Use the ngrok-unofficial-webhook-skill (skills/ngrok-unofficial-webhook-skill). It auto-discovers this skill via webhookEvents in skill.json, notifies the user, and offers to route events here. Other webhook solutions (e.g. custom servers, cloud functions) will work but require additional integration to forward payloads to this service.
Prerequisites
cd skills/zoom-meeting-assistance-rtms-unofficial-community npm install Requires ffmpeg for post-meeting media conversion.
Environment Variables
Set these in the skill's .env file: Required: ZOOM_SECRET_TOKEN — Zoom webhook secret token ZOOM_CLIENT_ID — Zoom app Client ID ZOOM_CLIENT_SECRET — Zoom app Client Secret Optional: PORT — Server port (default: 3000) AI_PROCESSING_INTERVAL_MS — AI analysis frequency in ms (default: 30000) AI_FUNCTION_STAGGER_MS — Delay between AI calls in ms (default: 5000) AUDIO_DATA_OPT — 1 = mixed stream, 2 = multi-stream (default: 2) OPENCLAW_NOTIFY_CHANNEL — Notification channel (default: whatsapp) OPENCLAW_NOTIFY_TARGET — Phone number / target for notifications
Starting the Service
cd skills/zoom-meeting-assistance-rtms-unofficial-community node index.js This starts an Express server listening for Zoom webhook events on PORT. ⚠️ Important: Before forwarding webhooks to this service, always check if it's running: # Check if service is listening on port 3000 lsof -i :3000 If nothing is returned, start the service first before forwarding any webhook events. Typical flow: Start the server as a background process Zoom sends meeting.rtms_started webhook → service connects to RTMS WebSocket Media streams in real-time: audio, video, transcript, screenshare, chat AI processing runs periodically (dialog suggestions, sentiment, summary) meeting.rtms_stopped → service closes connections, generates screenshare PDF
Recorded Data
All recordings are stored organized by date: skills/zoom-meeting-assistance-rtms-unofficial-community/recordings/YYYY/MM/DD/{streamId}/ Each stream folder contains: FileContentSearchablemetadata.jsonMeeting metadata (UUID, stream ID, operator, start time)✅transcript.txtPlain text transcript with timestamps and speaker names✅ Best for searching — grep-friendly, one line per utterancetranscript.vttVTT format transcript with timing cues✅transcript.srtSRT format transcript✅events.logParticipant join/leave, active speaker changes (JSON lines)✅chat.txtChat messages with timestamps✅ai_summary.mdAI-generated meeting summary (markdown)✅ Key document — read this first for meeting overviewai_dialog.jsonAI dialog suggestions✅ai_sentiment.jsonSentiment analysis per participant✅mixedaudio.rawMixed audio stream (raw PCM)❌ Binaryactivespeakervideo.h264Active speaker video (raw H.264)❌ Binaryprocessed/screenshare.pdfDeduplicated screenshare frames as PDF❌ Binary All summaries are also copied to a central folder for easy access: skills/zoom-meeting-assistance-rtms-unofficial-community/summaries/summary_YYYY-MM-DDTHH-MM-SS_{streamId}.md
Searching & Querying Past Meetings
To find and review past meeting data: # List all recorded meetings by date ls -R recordings/ # List meetings for a specific date ls recordings/2026/01/28/ # Search across all transcripts for a keyword grep -rl "keyword" recordings/*/*/*/*/transcript.txt # Search for what a specific person said grep "Chun Siong Tan" recordings/*/*/*/*/transcript.txt # Read a meeting summary cat recordings/YYYY/MM/DD/<streamId>/ai_summary.md # Search summaries for a topic grep -rl "topic" recordings/*/*/*/*/ai_summary.md # Check who attended a meeting cat recordings/YYYY/MM/DD/<streamId>/events.log # Get sentiment for a meeting cat recordings/YYYY/MM/DD/<streamId>/ai_sentiment.json The .txt, .md, .json, and .log files are all text-based and searchable. Start with ai_summary.md for a quick overview, then drill into transcript.txt for specific quotes or details.
API Endpoints
# Toggle WhatsApp notifications on/off curl -X POST http://localhost:3000/api/notify-toggle -H "Content-Type: application/json" -d '{"enabled": false}' # Check notification status curl http://localhost:3000/api/notify-toggle
Post-Meeting Processing
When meeting.rtms_stopped fires, the service automatically: Generates PDF from screenshare images Converts mixedaudio.raw → mixedaudio.wav Converts activespeakervideo.h264 → activespeakervideo.mp4 Muxes mixed audio + active speaker video into final_output.mp4 Manual conversion scripts are available but note that auto-conversion runs on meeting end, so manual re-runs are rarely needed.
Reading Meeting Data
After or during a meeting, read files from recordings/YYYY/MM/DD/{streamId}/: # List recorded meetings by date ls -R recordings/ # Read transcript cat recordings/YYYY/MM/DD/<streamId>/transcript.txt # Read AI summary cat recordings/YYYY/MM/DD/<streamId>/ai_summary.md # Read sentiment analysis cat recordings/YYYY/MM/DD/<streamId>/ai_sentiment.json
Prompt Customization
Want different summary styles or analysis? Customize the AI prompts to fit your needs! Edit these files to change AI behavior: FilePurposeExample Customizationssummary_prompt.mdMeeting summary generationBullet points vs prose, focus areas, lengthquery_prompt.mdQuery response formattingResponse style, detail levelquery_prompt_current_meeting.mdReal-time meeting analysisWhat to highlight during meetingsquery_prompt_dialog_suggestions.mdDialog suggestion styleFormal vs casual, suggestion countquery_prompt_sentiment_analysis.mdSentiment scoring logicCustom sentiment categories, thresholds Tip: Back up the originals before editing, so you can revert if needed.
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 Scripts2 Docs
- SKILL.md
- README.md
- chatWithClawdbot.js
- convertMeetingMedia.js
- index.js
- muxMixedAudioAndActiveSpeakerVideo.js