Tencent Meeting Export for Openclaw

A specialized tool to automate the extraction of transcripts, AI summaries, and meeting events from public Tencent Meeting recording links.

snow-dust
v1.0.1
Feb 22, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install tencent-meeting-export

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install tencent-meeting-export using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Tencent Meeting Export?

Tencent Meeting Export is a robust utility designed to bridge the gap between cloud-based video recordings and actionable text data. This skill enables developers and researchers to programmatically retrieve full transcription data from Tencent Meeting (腾讯会议) public share links without requiring manual login. By leveraging advanced browser automation, it captures not only the spoken word but also the intelligent metadata generated by the platform.

As a part of the Openclaw Skills library, this tool is essential for teams looking to integrate meeting intelligence into their existing documentation workflows. It specifically handles the complexities of lazy-loading and API interception to ensure that every segment of the conversation, including speaker identification and timestamps, is accurately preserved in developer-friendly formats.

Tencent Meeting Export Use Cases

  • Converting public Tencent Meeting recordings into searchable Markdown documentation.
  • Exporting AI-generated meeting summaries for integration into project management tools.
  • Archiving smart chapters and critical meeting events (like screen sharing) for compliance or review.
  • Extracting raw JSON meeting data for custom natural language processing and sentiment analysis.

How Tencent Meeting Export Works

  1. The tool initializes a headless Chromium browser via Playwright to load the provided public sharing URL.
  2. It intercepts specific API responses from the Tencent Meeting backend, including meeting details, summaries, and transcript paragraphs.
  3. The skill automatically interacts with the page, switching to the transcript tab and scrolling to trigger the lazy-loading of all dialogue segments.
  4. It parses the intercepted JSON payloads to extract speaker names, avatars, timestamps, and the text content of every sentence.
  5. The gathered data is formatted into a structured Markdown or JSON file and saved to the user's local directory.

Tencent Meeting Export Setup

To use this skill from Openclaw Skills, ensure you have Python installed and then set up the Playwright environment:

pip install playwright
playwright install chromium

Run the export script by passing a valid public share link:

python scripts/tencent_meeting_export.py <YOUR_SHARE_LINK>

Tencent Meeting Export Data Schema & Taxonomy

The exported data is organized into a detailed hierarchy to maintain context and attribution. The primary data points include:

Element Description
AI Full Summary The comprehensive summary generated by the platform's AI.
Smart Chapters Theme-based segments with associated timestamps and brief descriptions.
Critical Nodes Log of events such as screen sharing starts/stops and participant entry/exit.
Transcript Paragraphs The core dialogue containing speaker details, start/end timestamps (ms), and the raw text string.

Tencent Meeting Export Advanced Features

  • Dual-format export allowing users to generate Markdown and JSON files simultaneously using the --json flag.
  • Programmatic Python interface for importing TranscriptCapture directly into larger automation scripts.
  • Configurable timeout parameters to handle varying network conditions or large meeting files.
  • Support for speaker identification mapping, ensuring each paragraph is attributed to the correct participant.
  • Headless execution capability, making it suitable for server-side environments and automated Openclaw Skills pipelines.

SKILL.md


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