# ReviseMy

> ReviseMy — heyderekj-revisemy. Use this tool when you need to refine UI designs with human input, as it enables AI agents to upload screenshots for feedback and utilizes MCP tools for creating and managing reviews. It solves problems of design inconsistencies and user experience issues by providing a platform for structured feedback. The tool takes UI screenshots as input and outputs actionable feedback through pinned notes and reviews.

Canonical page: https://skillsregistry.net/skills/heyderekj-revisemy  
JSON: https://api.skillsregistry.net/v1/skills/heyderekj-revisemy

## Description

Open-source human-in-the-loop design review tool that enables AI agents to upload UI screenshots for human feedback, with MCP tools for creating reviews, pinning notes, and getting structured feedback.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zvf7gj52yh)
- **Repository:** <https://github.com/heyderekj/revisemy>

## 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": "heyderekj-revisemy"
    }
  }
}
```

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