bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Telegram voice-to-voice for macOS Apple Silicon: transcribe inbound .ogg voice notes with yap (Speech.framework) and reply with Telegram voice notes via say+ffmpeg. Not compatible with Linux/Windows.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install fiberian1981/telegram-voice-to-voice-macosInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
This is an OpenClaw skill.
yap CLI available in PATH (Speech.framework transcription).
ffmpeg available in PATH.This skill is macOS-only (uses say + Speech.framework). The skill registry cannot enforce OS restrictions, so installing/running it on Linux/Windows will result in runtime failures.
Store a small per-user preference file in the workspace:
voice_state/telegram.json
"voice" (default): reply with a Telegram voice note"text": reply with a single text messageIf the file does not exist or the sender id is missing: assume "voice".
If an inbound text message is exactly:
/audio off → set state to "text" and confirm with a short text reply./audio on → set state to "voice" and confirm with a short text reply.Telegram voice notes often show up as <media:audio> in message text.
OpenClaw saves the attachment to disk (typically .ogg) under:
~/.openclaw/media/inbound/
Recommended approach:
*.ogg from ~/.openclaw/media/inbound/.Default locale: macOS system locale.
Optional env:
YAP_LOCALE — override the transcription locale (e.g. it-IT, en-US).Preferred:
yap transcribe --locale "${YAP_LOCALE:-<system>}" <path.ogg>
YAP_LOCALE is not set, the helper script will use the macOS system locale (from defaults read -g AppleLocale).If transcription fails or is empty: ask the user to repeat or send text.
Helper script:
scripts/transcribe_telegram_ogg.sh [path.ogg]
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
An OpenClaw skill for a Telegram voice-to-voice workflow on macOS Apple Silicon only.
It handles inbound Telegram voice notes (.ogg), transcribes locally with yap (Speech.framework), generates a reply, and sends the reply back as a Telegram voice note using macOS say + ffmpeg.
yap in PATH (Speech.framework transcription)
ffmpeg in PATH
This skill is macOS-only (uses say and Speech.framework). The registry cannot enforce OS restrictions, so running it on Linux/Windows will fail at runtime.
YAP_LOCALE is set, it will be used (e.g. it-IT, en-US).YAP_LOCALE is not set, the helper script falls back to the macOS system locale (from defaults read -g AppleLocale).SYSTEM (uses the current macOS system voice).~/.openclaw/media/inbound/
voice_state/telegram.json
voice
/audio off → reply in text/audio on → reply with voice noteSee SKILL.md for the full, canonical behavior description used by OpenClaw.
# Telegram voice-to-voice (macOS Apple Silicon only)
This is an **OpenClaw skill**.
## Requirements
- macOS on Apple Silicon.
- `yap` CLI available in `PATH` (Speech.framework transcription).
- Project: https://github.com/finnvoor/yap (by finnvoor)
- `ffmpeg` available in `PATH`.
## Compatibility note (important)
This skill is **macOS-only** (uses `say` + Speech.framework). The skill registry cannot enforce OS restrictions, so installing/running it on Linux/Windows will result in runtime failures.
## Persistent reply mode (voice vs text)
Store a small per-user preference file in the workspace:
- State file: `voice_state/telegram.json`
- Key: Telegram sender user id (string)
- Values:
- `"voice"` (default): reply with a Telegram voice note
- `"text"`: reply with a single text message
If the file does not exist or the sender id is missing: assume `"voice"`.
### Toggle commands
If an inbound **text** message is exactly:
- `/audio off` → set state to `"text"` and confirm with a short text reply.
- `/audio on` → set state to `"voice"` and confirm with a short text reply.
## Getting the inbound audio (.ogg)
Telegram voice notes often show up as `<media:audio>` in message text.
OpenClaw saves the attachment to disk (typically `.ogg`) under:
- `~/.openclaw/media/inbound/`
Recommended approach:
1) If the inbound message context includes an attachment path, use it.
2) Otherwise, take the most recent `*.ogg` from `~/.openclaw/media/inbound/`.
## Transcription
Default locale: **macOS system locale**.
Optional env:
- `YAP_LOCALE` — override the transcription locale (e.g. `it-IT`, `en-US`).
Preferred:
- `yap transcribe --locale "${YAP_LOCALE:-<system>}" <path.ogg>`
- If `YAP_LOCALE` is not set, the helper script will use the macOS system locale (from `defaults read -g AppleLocale`).
If transcription fails or is empty: ask the user to repeat or send text.
Helper script:
- `scripts/transcribe_telegram_ogg.sh [path.ogg]`
## Reply behavior
### Mode...# telegram-voice-to-voice-macos An **OpenClaw skill** for a Telegram voice-to-voice workflow on **macOS Apple Silicon only**. It handles inbound Telegram voice notes (`.ogg`), transcribes locally with `yap` (Speech.framework), generates a reply, and sends the reply back as a Telegram **voice note** using macOS `say` + `ffmpeg`. ## Requirements - macOS on Apple Silicon - `yap` in `PATH` (Speech.framework transcription) - https://github.com/finnvoor/yap - `ffmpeg` in `PATH` ## Compatibility This skill is **macOS-only** (uses `say` and Speech.framework). The registry cannot enforce OS restrictions, so running it on Linux/Windows will fail at runtime. ## Configuration ### Transcription locale - If `YAP_LOCALE` is set, it will be used (e.g. `it-IT`, `en-US`). - If `YAP_LOCALE` is not set, the helper script falls back to the **macOS system locale** (from `defaults read -g AppleLocale`). ### TTS voice - Default is `SYSTEM` (uses the current macOS system voice). - You can pass a specific voice name to the TTS helper script if needed. ## Files and paths - Inbound Telegram audio is typically saved by OpenClaw under: - `~/.openclaw/media/inbound/` - Per-user reply mode state: - `voice_state/telegram.json` ## Behavior - Default reply mode: `voice` - Toggle per user via Telegram text messages: - `/audio off` → reply in text - `/audio on` → reply with voice note ## Skill instructions See `SKILL.md` for the full, canonical behavior description used by OpenClaw.
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