agentleFS
lsongdevlsongdev/skills/tg-hub/SKILL.md

tg-hub

Skill0 starsChanged 2 months agoNo licenceView on GitHub

A skill for reading and writing Telegram data with Python and UV. It depends only on Telethon and uses a local-first architecture: messages are synced to SQLite and then queried offline. On first use, you must log in from the terminal with a phone number verification code. After that, the session is persisted and you do not need to log in again. Supports syncing group and channel messages locally, keyword search, multi-keyword filtering, today's messages, recent messages, speaker rankings, timeline statistics, and more. This skill must be triggered whenever the user mentions "Telegram", "TG", "Telegram", "tg-hub", "sync Telegram messages", "search TG groups", "Telegram keywords", "get TG messages", or any scenario that requires programmatically reading or writing Telegram data.

  • Reads credentials

1 other project uses a version of this, 1 of them edited.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.