# telegram-media

> telegram-media — ryandeangraves-telegram-media. Use this tool when you need to send or receive media files, such as photos or voice notes, via Telegram. It solves the problem of automating media sharing and receiving in Telegram, allowing for seamless interaction with the platform. The tool takes shell commands as input and outputs the sent or received media files, making it ideal for automating Telegram media interactions.

Canonical page: https://skillsregistry.net/skills/ryandeangraves-telegram-media  
JSON: https://api.skillsregistry.net/v1/skills/ryandeangraves-telegram-media

## Description

**You MUST actually execute every command using your shell/exec tool.** Never pretend you sent a photo, voice note.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** communication
- **Updated:** 2026-09-16

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/ryandeangraves-telegram-media)

## 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": "ryandeangraves-telegram-media"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ryandeangraves-telegram-media` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ryandeangraves-telegram-media/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