# tg-history

> Use this tool when you need to extract and read Telegram group chat history efficiently, bypassing tedious screenshot and OCR processes. It solves the problem of manually retrieving chat logs, providing a zero-token-waste solution for text extraction. The tool takes Telegram group chat data as input and outputs the chat history as readable text.

Canonical page: https://skillsregistry.net/skills/ls18166407597-design-tg-history  
JSON: https://api.skillsregistry.net/v1/skills/ls18166407597-design-tg-history

## Description

Efficiently extract and read Telegram group chat history as text, bypassing screenshots/OCR for zero-token-waste.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** communication
- **Updated:** 2026-05-16

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/ls18166407597-design-tg-history)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ls18166407597-design-tg-history"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ls18166407597-design-tg-history` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ls18166407597-design-tg-history/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt