Does this skill support Telegram forum topics?

Yes, it includes specialized support for forum topics; you can use the --topic flag to isolate and sync specific threads within a forum-enabled group.

How does the sync handle privacy for DMs?

DMs are synced by default but include a lower default message limit (100) for privacy. You can also exclude them entirely using the --no-dms flag.

What should I do if I get a rate limit error?

The tool handles rate limits automatically. If you see a FloodWait error, simply wait for the specified duration before retrying the sync.

Can I sync only specific Telegram groups?

Yes, you can use the --group flag followed by the specific group ID to sync only that conversation instead of your entire history.

Telegram Message Sync

Name: Telegram Message Sync
Author: lycfyi

bylycfyi

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Collaboration Tools

Syncs Telegram group messages and direct messages to local Markdown files for easy archival and AI analysis.

About

The telegram-sync skill allows Claude Code to bridge the gap between real-time chat platforms and local development environments by downloading Telegram conversations into a structured, LLM-friendly Markdown format. It supports both public groups and private DMs, offering granular control over sync periods, message limits, and forum topics. This tool is particularly useful for developers and researchers who need to analyze community feedback, archive project discussions, or provide historical chat context to AI agents for advanced data processing and summarization.

Key Features

Supports incremental sync to fetch only new messages since the last update
Handles complex Telegram forum structures and specific topic filtering
Configurable privacy settings with customizable message limits for DMs
Built-in rate limiting and FloodWait handling to respect Telegram API constraints
Syncs groups and DMs to structured, human-readable Markdown files
3 GitHub stars

Use Cases

Creating local backups of important project-related Telegram threads
Feeding Telegram discussions into LLMs for sentiment analysis or summarization
Archiving community chat history for offline search and documentation

About

Key Features

Supports incremental sync to fetch only new messages since the last update
Handles complex Telegram forum structures and specific topic filtering
Configurable privacy settings with customizable message limits for DMs
Built-in rate limiting and FloodWait handling to respect Telegram API constraints
Syncs groups and DMs to structured, human-readable Markdown files
3 GitHub stars

Use Cases

Creating local backups of important project-related Telegram threads
Feeding Telegram discussions into LLMs for sentiment analysis or summarization
Archiving community chat history for offline search and documentation