Video Messages from your openclaw

**Judgement:** A solid, well-scoped skill for converting text/audio into short VRM avatar video messages, particularly effective in Telegram environments where video notes increase engagement. Technically mature enough for production use if dependencies are correctly installed. **Strengths** - Clear end-to-end workflow: TTS → avatarcam → MP4 → Telegram video note. - Configurable avatar and background via TOOLS.md. - Cross-platform with explicit dependency instructions (ffmpeg, xvfb for Linux, Docker guidance). - Output tuned for Telegram video notes (square, 30fps, circular format) and short clips. **Key Risks / Limitations** - **Infra fragility:** Requires ffmpeg and, on Linux/headless, xvfb; misconfigured environments will cause failures that the skill itself doesn’t appear to auto-recover from. - **Latency & duration limits:** Processing is ~1.5× realtime and capped at 60 seconds, so not suitable for long messages or low-latency critical flows. - **Channel specificity:** Optimized for Telegram video notes; using it in other channels may need extra adaptation (e.g., ignoring `asVideoNote` or different video specs). - **Operational details:** Requires correct cleanup of temp files and correct message-tool wiring; mistakes can leak disk usage or send nothing while the agent still replies. - **Content control:** The avatar will faithfully deliver whatever TTS/audio is provided; upstream safety filters must handle harmful, deceptive, or abusive content. **Recommended Scenarios** - Telegram-based assistants where users *explicitly ask* for “video messages”, “avatar videos”, or “video replies”. - Branded bots or communities that benefit from a consistent avatar persona for announcements and short updates. - Optional, higher-engagement mode for certain responses (greetings, celebrations, reminders) rather than all replies. - Environments where you can reliably manage ffmpeg/xvfb and Docker dependencies and accept modest processing latency. Use this skill when a user clearly wants a video/visual reply or when you have a designed experience around avatar-based messaging; avoid using it by default for all responses or for long-form content where its latency and 60s cap become constraining.