# echo

> echo — palemoky-echo. Use this tool when you need to extract product insights and pain points from customer comments across multiple platforms. It analyzes feedback to identify key trends and issues, providing valuable Voice of Customer (VOC) data to inform product development and improvement. Input customer comments from various sources, and output actionable product insights to enhance customer satisfaction and experience.

Canonical page: https://skillsregistry.net/skills/palemoky-echo  
JSON: https://api.skillsregistry.net/v1/skills/palemoky-echo

## Description

AI-powered Voice of Customer (VOC) engine built on MCP. Extract product insights & pain points from multi-platform comments.

## Trust

- **Trust score (0–1):** 0.28
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/palemoky/echo)

## 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": "palemoky-echo"
    }
  }
}
```

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