# tg-sticker-emoji-mood

> tg-sticker-emoji-mood — dandysuper-tg-sticker-emoji-mood. Use this tool when you need to enhance Telegram conversations with relevant stickers and emojis that reflect the mood and tone of the discussion. It solves the problem of manually searching for suitable stickers and emojis, saving time and effort. This tool takes conversation text as input and outputs matching stickers and emojis to add a personal touch to interactions.

Canonical page: https://skillsregistry.net/skills/dandysuper-tg-sticker-emoji-mood  
JSON: https://api.skillsregistry.net/v1/skills/dandysuper-tg-sticker-emoji-mood

## Description

Automatically send Telegram stickers and emojis that match the mood and vibe of the conversation.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** communication
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/dandysuper-tg-sticker-emoji-mood)

## 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": "dandysuper-tg-sticker-emoji-mood"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dandysuper-tg-sticker-emoji-mood` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dandysuper-tg-sticker-emoji-mood/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