# reveal-feedback

> reveal-feedback — tolulopeayo-reveal-feedback. Use this tool when you need to manage products and create review tasks, and want to leverage AI-analyzed user feedback to inform your decisions. It solves problems related to product improvement and user feedback analysis, providing valuable insights to enhance customer satisfaction. The tool accepts product and task inputs, and outputs AI-generated feedback and review task results.

Canonical page: https://skillsregistry.net/skills/tolulopeayo-reveal-feedback  
JSON: https://api.skillsregistry.net/v1/skills/tolulopeayo-reveal-feedback

## Description

Interact with Reveal feedback infrastructure to manage products, create review tasks, read AI-analyzed user.

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

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/tolulopeayo-reveal-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": "tolulopeayo-reveal-feedback"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tolulopeayo-reveal-feedback` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tolulopeayo-reveal-feedback/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