Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add glebis/claude-skills --skill "telegram-telethon"
Install specific skill from multi-skill repository
# Description
This skill should be used for comprehensive Telegram automation via Telethon API. Use for sending/receiving messages, monitoring chats, running a background daemon that triggers Claude Code sessions, managing channels/groups, and downloading media. Triggers on "telegram daemon", "monitor telegram", "telegram bot", "spawn Claude from telegram", or any Telethon-related request. IMPORTANT: Use `draft` command for "драфт/draft", use `send` for "отправь/send"; if ambiguous, ASK before sending.
# SKILL.md
name: telegram-telethon
description: This skill should be used for comprehensive Telegram automation via Telethon API. Use for sending/receiving messages, monitoring chats, running a background daemon that triggers Claude Code sessions, managing channels/groups, and downloading media. Triggers on "telegram daemon", "monitor telegram", "telegram bot", "spawn Claude from telegram", or any Telethon-related request. IMPORTANT: Use draft command for "драфт/draft", use send for "отправь/send"; if ambiguous, ASK before sending.
Claude Behavior Guidelines
Draft vs Send: Follow User's Intent
| User says | Claude does | Clarify? |
|---|---|---|
| "драфт", "draft", "сделай драфт" | draft |
No |
| "отправь", "пошли", "send" | send |
No |
| "напиши сообщение" (ambiguous) | Ask what user wants | Yes |
Key Rules
- Explicit draft → draft: "драфт", "draft" → use
draftcommand immediately - Explicit send → send: "отправь", "пошли", "send" → use
sendcommand immediately - Ambiguous → clarify: If neither "draft" nor "send" verb present, ask: "Создать драфт или сразу отправить?"
Examples
User: "сделай драфт для lv: привет"
Claude: Uses draft --chat "lv" --text "привет" immediately
User: "отправь сообщение Маше: встретимся в 5?"
Claude: Uses send --chat "Маша" --text "встретимся в 5?" immediately
User: "напиши сообщение для Маши: встретимся в 5?"
Claude: Asks "Создать драфт или сразу отправить?"
Telegram Telethon Skill
Full Telethon API wrapper with daemon mode and Claude Code integration. Supports interactive setup, background message monitoring, and automatic Claude session spawning per chat.
Prerequisites
Interactive Setup (Terminal)
Run setup wizard on first use:
python3 scripts/tg.py setup
This guides through:
1. Getting API credentials from https://my.telegram.org/auth
2. Phone number verification
3. 2FA (if enabled)
4. Optional daemon trigger configuration
Non-Interactive Setup (Claude Code)
For use from Claude Code or scripts without TTY:
# Step 1: Provide credentials and trigger code send
python3 scripts/tg.py setup --api-id 12345678 --api-hash abc123... --phone +1234567890
# Step 2: User receives code on phone, then complete auth
python3 scripts/tg.py setup --api-id 12345678 --api-hash abc123... --phone +1234567890 --code 12345
# If 2FA enabled, add password
python3 scripts/tg.py setup --api-id 12345678 --api-hash abc123... --phone +1234567890 --code 12345 --password mypassword
The script auto-detects TTY and switches between interactive/non-interactive modes.
Quick Start
# Check connection status
python3 scripts/tg.py status
# List chats
python3 scripts/tg.py list
# Get recent messages from a chat
python3 scripts/tg.py recent "John Doe" --limit 20
# Search messages
python3 scripts/tg.py search "meeting notes"
# Configure daemon triggers interactively
python3 scripts/tg.py daemon-config
# Start daemon (foreground with logs)
python3 scripts/tgd.py start --foreground
# Start daemon (background)
python3 scripts/tgd.py start
# View daemon logs
python3 scripts/tgd.py logs
CLI Commands
Message Operations
# List all chats
python3 scripts/tg.py list [--limit 30] [--search "term"]
# Fetch recent messages
python3 scripts/tg.py recent [CHAT] [--limit 50] [--days 7] [--format markdown|json] [--output file.md]
# Search messages by content
python3 scripts/tg.py search QUERY [--chat "Chat Name"] [--limit 50] [--format markdown|json]
# Fetch unread messages
python3 scripts/tg.py unread [--chat "Chat Name"] [--format markdown|json]
# Fetch forum thread
python3 scripts/tg.py thread CHAT_ID THREAD_ID [--limit 100]
# Send message
python3 scripts/tg.py send --chat "Chat Name" --text "Message text" [--reply-to MSG_ID] [--file path] [--topic TOPIC_ID]
# Edit message
python3 scripts/tg.py edit --chat "Chat Name" --message-id MESSAGE_ID --text "New text"
# Delete messages
python3 scripts/tg.py delete --chat "Chat Name" --message-ids 123 456 789 [--no-revoke]
# Forward messages
python3 scripts/tg.py forward --from "Source" --to "Dest" --message-ids 123 456
# Mark messages as read
python3 scripts/tg.py mark-read --chat "Chat Name" [--max-id MSG_ID]
Draft Operations
# Save/update a draft message
python3 scripts/tg.py draft --chat "Chat Name" --text "Draft text" [--reply-to MSG_ID] [--no-preview]
# Clear a draft (save empty text)
python3 scripts/tg.py draft --chat "Chat Name" --text ""
# Clear all drafts
python3 scripts/tg.py draft --clear-all
# List all drafts
python3 scripts/tg.py drafts [--limit 50]
# Send a draft as a message (clears the draft)
python3 scripts/tg.py draft-send --chat "Chat Name"
Note: Use "me" as the chat name to target Saved Messages (your own chat). The literal name "Saved Messages" doesn't work as it's localized differently per user.
Media Operations
# Download media from chat
python3 scripts/tg.py download "Chat Name" [--limit 5] [--output-dir ~/Downloads] [--message-id ID] [--type voice|video|photo]
# Transcribe voice messages
python3 scripts/tg.py transcribe "Chat Name" MESSAGE_ID [--method telegram|groq|whisper]
# Batch transcribe voice messages
python3 scripts/tg.py transcribe "Chat Name" --batch [--limit 10]
Obsidian Integration
# Append messages to today's daily note
python3 scripts/tg.py to-daily "Chat Name" [--vault ~/Brains/brain] [--section "Telegram"]
# Append messages to a person's note
python3 scripts/tg.py to-person "Chat Name" "Person Name" [--vault ~/Brains/brain]
Voice Transcription
The skill supports three transcription methods with automatic fallback:
- Telegram API (default) - Uses Telegram Premium's server-side transcription
- Groq - Uses Groq's Whisper API (requires
GROQ_API_KEYenvironment variable) - Whisper - Uses local OpenAI Whisper model (requires
pip install openai-whisper)
# Use Telegram's transcription (Premium feature)
python3 scripts/tg.py transcribe "Chat" 123
# Force Groq transcription
python3 scripts/tg.py transcribe "Chat" 123 --method groq
# Force local Whisper
python3 scripts/tg.py transcribe "Chat" 123 --method whisper
Daemon Mode
The daemon monitors Telegram for messages matching configured triggers and can:
- Reply with static text
- Spawn Claude Code sessions to handle requests
- Resume existing Claude sessions per-chat
- Queue requests to prevent rate limiting
Trigger Configuration
Triggers are stored in ~/.config/telegram-telethon/daemon.yaml:
triggers:
# Respond to /claude command in DMs
- chat: "@myusername"
pattern: "^/claude (.+)$"
action: claude
reply_mode: inline
# Respond to @Bot mentions in a group
- chat: "AI Assistants"
pattern: "@Bot (.+)$"
action: claude
reply_mode: new
# Simple ping-pong in any chat
- chat: "*"
pattern: "^/ping$"
action: reply
reply_text: "pong"
claude:
allowed_tools:
- Read
- Edit
- Bash
- WebFetch
max_turns: 10
timeout: 300
queue:
max_concurrent: 1
timeout: 600
Trigger Fields
| Field | Description |
|---|---|
chat |
Chat name, @username, or * for all chats |
pattern |
Regex pattern (capture group 1 becomes Claude prompt) |
action |
claude, reply, or ignore |
reply_mode |
inline (reply to message) or new (separate message) |
reply_text |
Static text for reply action |
Claude Integration
When action is claude:
1. Text captured by regex group 1 is sent to Claude Code via claude -p "..." --output-format json
2. Claude sessions persist per-chat in sessions.json
3. Subsequent messages from same chat resume session via --resume <session_id>
4. Responses are sent back to Telegram as reply or new message
Session Persistence
Claude sessions are saved to ~/.config/telegram-telethon/sessions.json:
- Each chat_id maps to a Claude session_id
- Sessions survive daemon restarts
- Track message count and last used timestamp
To reset: delete chat entry from sessions.json or configure a /reset trigger.
Example Configurations
Personal AI Assistant
Respond to all DMs to yourself:
triggers:
- chat: "@yourusername"
pattern: "(.+)"
action: claude
reply_mode: inline
Group Bot with Mention Trigger
Only respond when @mentioned:
triggers:
- chat: "Dev Team"
pattern: "@AssistantBot (.+)"
action: claude
reply_mode: inline
Multi-Action Setup
triggers:
- chat: "*"
pattern: "^/ask (.+)"
action: claude
reply_mode: inline
- chat: "*"
pattern: "^/ping$"
action: reply
reply_text: "pong"
- chat: "Noisy Group"
pattern: ".*"
action: ignore
File Structure
~/.config/telegram-telethon/
├── config.yaml # API credentials (api_id, api_hash, phone)
├── daemon.yaml # Daemon triggers and Claude config
├── session.session # Telethon session file
├── sessions.json # Claude session persistence
└── daemon.log # Daemon log file
Development
# Install with dev dependencies
cd telegram-telethon
pip install -e ".[dev]"
# Run all tests
pytest
# Run with coverage
pytest --cov=telegram_telethon
# Run specific test file
pytest tests/unit/test_claude_bridge.py -v
Troubleshooting
| Issue | Solution |
|---|---|
| "Config not found" | Run python3 scripts/tg.py setup |
| "Session expired" | Delete session.session and re-run setup |
| "Claude timeout" | Increase timeout in daemon.yaml |
| "Queue full" | Reduce request rate or wait |
| "No trigger matched" | Check pattern regex and chat name match |
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.