# nicholasrae-review-reply

> Use this tool when you need to streamline review management and improve customer satisfaction. It automatically monitors App Store reviews and generates warm, on-brand replies for 1-3 star reviews, helping to resolve customer complaints and enhance your brand's reputation. Ideal for businesses seeking to efficiently address negative feedback and provide timely support to unhappy customers.

Canonical page: https://skillsregistry.net/skills/nicholasrae-nicholasrae-review-reply  
JSON: https://api.skillsregistry.net/v1/skills/nicholasrae-nicholasrae-review-reply

## Description

Automatically monitors your App Store reviews and drafts warm, on-brand replies for 1–3 star reviews — so unhappy.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** monitoring
- **Updated:** 2026-05-21

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/nicholasrae-nicholasrae-review-reply)

## 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": "nicholasrae-nicholasrae-review-reply"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nicholasrae-nicholasrae-review-reply` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nicholasrae-nicholasrae-review-reply/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