# clawver-reviews

> clawver-reviews — nwang783-clawver-reviews. Use this tool when you need to manage and analyze customer reviews for Clawver, solving problems such as review tracking, sentiment analysis, and feedback collection. It takes in customer review data as input and outputs summarized insights and trends, helping businesses improve their products and services. Ideal for use in customer feedback loops, reputation management, and product development contexts.

Canonical page: https://skillsregistry.net/skills/nwang783-clawver-reviews  
JSON: https://api.skillsregistry.net/v1/skills/nwang783-clawver-reviews

## Description

Handle Clawver customer reviews.

## 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:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/nwang783-clawver-reviews)

## 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": "nwang783-clawver-reviews"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nwang783-clawver-reviews` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nwang783-clawver-reviews/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