# customer-feedback

> customer-feedback — jk-0001-customer-feedback. Use this tool when you need to gather and understand customer opinions to identify areas for improvement and optimize your product or service. It solves problems related to customer satisfaction, retention, and loyalty by providing insights through collected feedback. The tool accepts customer input and outputs actionable recommendations for business growth and development.

Canonical page: https://skillsregistry.net/skills/jk-0001-customer-feedback  
JSON: https://api.skillsregistry.net/v1/skills/jk-0001-customer-feedback

## Description

Collect, analyze, and act on customer feedback to improve your product and business.

## 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/jk-0001-customer-feedback)

## 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": "jk-0001-customer-feedback"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jk-0001-customer-feedback` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jk-0001-customer-feedback/pull`

---
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