# emotion-detector

> emotion-detector — daisuke134-emotion-detector. Use this tool when you need to analyze text-based user input to determine the underlying emotional tone, helping AI agents to provide empathetic and personalized responses. It solves problems such as sentiment analysis, customer service chatbots, and social media monitoring by identifying emotions like happiness, sadness, or anger. The emotion-detector takes in text input and outputs the primary detected emotion, enabling AI agents to respond accordingly.

Canonical page: https://skillsregistry.net/skills/daisuke134-emotion-detector  
JSON: https://api.skillsregistry.net/v1/skills/daisuke134-emotion-detector

## Description

Detects the primary emotion in text input for AI agents.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/daisuke134-emotion-detector)

## 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": "daisuke134-emotion-detector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/daisuke134-emotion-detector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/daisuke134-emotion-detector/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