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telegram-stickers-brain

Sync Telegram sticker sets and repair descriptions for semantic search.

1|Updated Mar 9, 2026
Search Tags:#ai#search#maintenance#sync#telegram#stickers
One-click install
npx skills add https://github.com/Rosist-Sallina/alma-telegram-stickers --skill telegram-stickers-brain
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: telegram-stickers-brain
Source: https://github.com/Rosist-Sallina/alma-telegram-stickers/tree/main/skills/telegram-stickers-brain
Command: npx skills add https://github.com/Rosist-Sallina/alma-telegram-stickers --skill telegram-stickers-brain

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the management of Telegram sticker sets, including syncing, repairing descriptions, and enabling semantic search, streamlining sticker organization and retrieval.

Core Features & Use Cases

  • Sticker Set Syncing: Add or update entire sticker sets from Telegram URLs.
  • Description Repair: Fixes outdated or fallback descriptions for better semantic search.
  • Semantic Search: Enables natural language queries to find specific stickers.
  • Status Checks: Provides insights into the indexed sticker data and system readiness.

Quick Start

Use the telegram-stickers-brain skill to sync the sticker set from the provided URL.

Frequently Asked Questions about telegram-stickers-brain

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I sync and manage Telegram sticker sets from a URL?▼

To sync Telegram sticker sets, provide the sticker set URL to the CLI tool. The system automatically fetches and indexes the entire sticker collection for subsequent management and retrieval.

Can I search for Telegram stickers using natural language queries?▼

Yes, you can perform semantic search for Telegram stickers using natural language. The system uses QMD for indexing and retrieval, allowing you to discover specific stickers based on meaning rather than exact tags.

How does sticker description repair work for semantic search?▼

Sticker description repair fixes outdated or fallback descriptions by using Gemini Vision. This process generates accurate visual descriptions, which enhances the accuracy and relevance of subsequent semantic search queries.

Do I need Node.js to run this Telegram sticker management tool?▼

Yes, you need Node.js to run this Telegram sticker management tool. The Skill relies on a Node.js CLI tool to interface with Gemini Vision for descriptions and QMD for indexing and retrieval operations.

What is the best way to check the status of indexed Telegram sticker data?▼

The best way to check indexed Telegram sticker data is by using the status check feature. This provides insights into the currently indexed sticker sets and verifies overall system readiness for search queries.

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