# social-sentiment

> social-sentiment — atyachin-social-sentiment. Use this tool when you need to analyze public opinion and sentiment towards a brand or product on social media platforms like Twitter, Reddit, and Instagram. It solves problems related to reputation management, market research, and customer feedback by providing insights into online conversations and sentiment trends. The tool takes in brand or product names as input and outputs sentiment analysis reports, helping you make informed decisions in context of marketing, customer service, or competitive analysis.

Canonical page: https://skillsregistry.net/skills/atyachin-social-sentiment  
JSON: https://api.skillsregistry.net/v1/skills/atyachin-social-sentiment

## Description

Sentiment analysis for brands and products across Twitter, Reddit, and Instagram.

## 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:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/atyachin-social-sentiment)

## 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": "atyachin-social-sentiment"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atyachin-social-sentiment` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atyachin-social-sentiment/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