# quotly-style-sticker

> quotly-style-sticker — sakullla-quotly-style-sticker. Use this tool when you need to generate visually appealing stickers from text quotes, solving the problem of creating engaging social media content. It takes OpenClaw context as input and returns a MEDIA output for auto-send, streamlining the content creation process. Ideal for use in social media automation and content generation workflows.

Canonical page: https://skillsregistry.net/skills/sakullla-quotly-style-sticker  
JSON: https://api.skillsregistry.net/v1/skills/sakullla-quotly-style-sticker

## Description

Generate QuotLy-style stickers from OpenClaw context and return MEDIA for auto-send.

## 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:** media
- **Updated:** 2026-09-22

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/sakullla-quotly-style-sticker)

## 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": "sakullla-quotly-style-sticker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sakullla-quotly-style-sticker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sakullla-quotly-style-sticker/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