# Brand Me Please

> Use this tool when you need to create consistent on-brand content and ensure voice, tone, and design alignment. It analyzes input content, scores consistency, and provides actionable recommendations to maintain brand integrity. Ideal for content creators, marketers, and publishers who require quick checks or in-depth reviews to guarantee on-brand output.

Canonical page: https://skillsregistry.net/skills/osamah96-ssded  
JSON: https://api.skillsregistry.net/v1/skills/osamah96-ssded

## Description

Create on-brand content with end-to-end analysis, clear scoring, and actionable recommendations. Retrieve your brand guidelines and visual assets to keep voice, tone, and design consistent. Run quick checks or deep reviews to catch inconsistencies before publishing.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/osamah96/ssded)

## 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": "osamah96-ssded"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/osamah96-ssded` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/osamah96-ssded/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