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voice-telegram

Transcribe Telegram voice messages and forward to agents. Use when user sends voice/audio message via Telegram.

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Overview

Transcribe Telegram voice messages and forward to agents. Use when user sends voice/audio message via Telegram.

Install command

npx skills add https://github.com/borodich/personal-os-skills --skill voice-telegram

Copy and paste this command into Claude Code to install the skill

Source

borodich/personal-os-skills

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Forks0

UpdatedMarch 31, 2026 at 13:49

SKILL.md

readonly

name	voice-telegram
description	Transcribe Telegram voice messages and forward to agents. Use when user sends voice/audio message via Telegram.

Voice Telegram — голосовые сообщения в Telegram

Транскрибирует входящие войсы через faster-whisper и передаёт текст агенту как обычный запрос.

Как использует Pron

Когда приходит voice message из Telegram:

Файл уже скачан в /Users/abserver/.openclaw/media/inbound/
Транскрибируй через faster-whisper (локально, офлайн)
Обработай транскрипт как обычное текстовое сообщение

Команда транскрипции

cd ~/Projects/voice-bridge && source .venv/bin/activate && python3 -c "
from stt.faster_whisper import FasterWhisperSTT
import sys, pathlib

path = sys.argv[1]
audio = pathlib.Path(path).read_bytes()
stt = FasterWhisperSTT(model_size='base', language='ru')
result = stt.transcribe(audio)
print(result or '')
" <PATH_TO_FILE>

Superflow + голос

Если транскрипт содержит "superflow" или "суперфлоу" — читай ~/clawd/skills/superflow/SKILL.md и запускай фазу 1.

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Source

borodich

borodich/personal-os-skills

View GitHub Repository View Creator Repositories

Install command

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Run Skill in Manus

Useful forSOC

Software DevelopersComputer and Mathematical Occupations15-1252L4

name	voice-telegram
description	Transcribe Telegram voice messages and forward to agents. Use when user sends voice/audio message via Telegram.

Voice Telegram — голосовые сообщения в Telegram

Транскрибирует входящие войсы через faster-whisper и передаёт текст агенту как обычный запрос.

Как использует Pron

Когда приходит voice message из Telegram:

Файл уже скачан в /Users/abserver/.openclaw/media/inbound/
Транскрибируй через faster-whisper (локально, офлайн)
Обработай транскрипт как обычное текстовое сообщение

Команда транскрипции

cd ~/Projects/voice-bridge && source .venv/bin/activate && python3 -c "
from stt.faster_whisper import FasterWhisperSTT
import sys, pathlib

path = sys.argv[1]
audio = pathlib.Path(path).read_bytes()
stt = FasterWhisperSTT(model_size='base', language='ru')
result = stt.transcribe(audio)
print(result or '')
" <PATH_TO_FILE>

Superflow + голос

Если транскрипт содержит "superflow" или "суперфлоу" — читай ~/clawd/skills/superflow/SKILL.md и запускай фазу 1.