# hinge-liker

> hinge-liker — mattttman-hinge-liker. Use this tool when you need to automate liking Hinge dating profiles, saving time and increasing visibility. It solves the problem of manually browsing and liking profiles, using an Android emulator and Gemini vision AI to streamline the process. The tool takes Hinge profile preferences as input and outputs automated likes, ideal for users seeking to expand their dating pool efficiently.

Canonical page: https://skillsregistry.net/skills/mattttman-hinge-liker  
JSON: https://api.skillsregistry.net/v1/skills/mattttman-hinge-liker

## Description

Automated Hinge dating profile liker using Android emulator + Gemini vision AI.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** file-system
- **Updated:** 2026-09-16

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/mattttman-hinge-liker)

## 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": "mattttman-hinge-liker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mattttman-hinge-liker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mattttman-hinge-liker/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