# emotionwise

> emotionwise — timexicali-emotionwise. Use this tool when you need to analyze text for emotional tone and sarcasm, solving problems such as sentiment analysis and opinion mining in English and Spanish languages. It takes text input and outputs emotional labels from a set of 28 categories, helping to understand the emotional context of user-generated content. Ideal for use cases where nuanced emotional understanding is required, such as customer feedback analysis or social media monitoring.

Canonical page: https://skillsregistry.net/skills/timexicali-emotionwise  
JSON: https://api.skillsregistry.net/v1/skills/timexicali-emotionwise

## Description

Analyze text for emotions and sarcasm using the EmotionWise API (28 labels, EN/ES).

## 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:** api-integration
- **Updated:** 2026-09-16

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/timexicali-emotionwise)

## 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": "timexicali-emotionwise"
    }
  }
}
```

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