Skip to main content Startseite Ersteller bayramannakov telegram-assistant-skill telegram-assistant
telegram-assistant Telegram automation assistant using telegram-mcp. Use when users want to:
(1) Get a digest of unread Telegram messages
(2) Analyze their writing style from channel posts
(3) Draft and publish posts to Telegram channels
(4) Search and reply to messages across chats
Triggers: "telegram digest", "unread messages", "morning summary",
"post to channel", "draft telegram post", "analyze writing style",
"extract style from channel", "telegram workflow"
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Verwandte Berufe SOC
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name telegram-assistant description Telegram automation assistant using telegram-mcp. Use when users want to:
(1) Get a digest of unread Telegram messages
(2) Analyze their writing style from channel posts
(3) Draft and publish posts to Telegram channels
(4) Search and reply to messages across chats
Triggers: "telegram digest", "unread messages", "morning summary",
"post to channel", "draft telegram post", "analyze writing style",
"extract style from channel", "telegram workflow"
license MIT compatibility Requires telegram-mcp server configured in Claude Code.
See references/setup.md for installation instructions.
metadata {"author":"Bayram Annakov (onsa.ai)","version":"1.0.0","category":"productivity","telegram-mcp-repo":"https://github.com/chigwell/telegram-mcp"} allowed-tools mcp__telegram-mcp__* Read Write Edit Glob
Telegram Assistant
Automate Telegram workflows with AI: digests, channel posting, and style-matched drafts.
Quick Start
Need morning digest? → Use Digest Workflow
Want to post to channel? → Use Style + Post Workflow
Replying to messages? → Use Reply Workflow
Workflow 1: Digest Goal : Summarize unread messages across all chats.
Step 1: Get Unread Chats Use list_chats to find chats with unread messages.
Look for "Unread:" in the output (both count and "marked" flag).
Step 2: Read Recent Messages For each chat with unread:
Use get_messages or list_messages to fetch recent messages
Focus on messages since last read
Step 3: Summarize
Priority items : Direct mentions, questions needing responseUpdates : News, announcements from channelsLow priority : General chatter, FYI items
Step 4: Draft Replies (Optional) For messages needing response:
Draft a reply
Use save_draft to save it for user review
User can review and send manually in Telegram app
Safety : Never send messages directly. Always save as draft first.
Workflow 2: Style Extraction Goal : Analyze channel posts to capture user's writing style.
Step 1: Fetch Posts Use list_messages with the channel name/ID.
Fetch last 15-20 posts (skip media-only posts).
Step 2: Analyze Patterns Extract these characteristics:
Language mix : Ratio of Russian to English termsStructure : Use of hooks, tldr, bullets, numbered lists, sectionsTone : Formal (вы) vs casual (ты), first-person usage (я/мы)Length : Average post length in wordsEmoji : Frequency and types usedCall-to-action : How posts typically end
Step 3: Generate Style Guide Create references/style-guide.md with:
# [Channel Name] Style Guide
## Language
- Primary: Russian with English tech terms
- Formality: [formal/casual]
- Person: [я/мы usage]
## Structure
- Hook: [question/statement/story]
- Sections: [yes/no, with headers?]
- Lists: [bullets/numbered]
- tldr: [yes/no]
## Formatting
- Average length: ~[X] words
- Emoji: [frequent/occasional/rare]
- Common emojis: [list]
## Endings
- Call-to-action style: [question/invitation/resource link]
## Example Patterns
[Include 2-3 anonymized structure examples]
Step 4: Save for Future Use The style guide is now available for the Post workflow.
Workflow 3: Post to Channel Goal : Draft a post matching user's writing style.
Pre-requisite Run Style Extraction workflow first if references/style-guide.md doesn't exist.
Step 1: Read Style Guide Read references/style-guide.md to understand the target style.
Step 2: Understand Topic
Topic/subject matter
Key points to cover
Target audience (if different from usual)
Any specific call-to-action
Step 3: Draft Post Write the post following the style guide:
Match language mix ratio
Use the same structural patterns
Maintain consistent tone
Include appropriate emoji (if style uses them)
End with typical call-to-action pattern
Step 4: User Review Present the draft to user for feedback. Iterate if needed.
Step 5: Save as Draft Use save_draft(chat_id="ChannelName", message="draft content")
Open Telegram app
Go to the channel
See the draft in the input field
Review and send when ready
Safety : Always use save_draft, never send_message for channel posts.
Workflow 4: Search & Reply Goal : Find specific messages and draft contextual replies.
Step 1: Search Use search_messages(chat_id, query) to find relevant messages.
Or list recent messages and filter manually.
Step 2: Get Context Use get_message_context(chat_id, message_id) to see surrounding messages.
Step 3: Draft Reply Write a contextual reply based on the conversation flow.
Step 4: Save as Draft Reply Use save_draft(chat_id, message, reply_to_msg_id=message_id)
User reviews and sends from Telegram app.
Safety Guidelines
Draft First : Never use send_message for important communications. Always save_draft.
Verify Chat ID : Double-check you're targeting the right chat before any action.
Rate Limits : Avoid rapid-fire API calls. Space out requests if processing many chats.
Privacy : The AI sees all accessible chats. Be mindful of sensitive conversations.
Session Security : The session string provides full account access. Treat it like a password.
On macOS: Store in Keychain (see setup.md) rather than .env files
Never commit credentials to git
Troubleshooting
"Could not find the input entity"
Use channel username (without @) or numeric ID
For supergroups, try prepending -100 to the ID
"Chat not found"
Ensure the account has access to the chat
Try using the exact chat title from list_chats
Draft not appearing
Open the specific chat in Telegram app
Drafts are saved per-chat
Resources 