# prediction-examples

> Use this tool when you need to predict annual GMV and evaluate business growth trends, or analyze comment sentiments to identify positive and negative feedback. It solves problems related to market trend forecasting and customer feedback analysis, providing key insights to inform marketing and product decisions. The tool takes in data and outputs predictive models and sentiment analysis results, ideal for use in business growth strategy and customer feedback assessment contexts.

Canonical page: https://skillsregistry.net/skills/xiaobenyang-com-prediction-examples  
JSON: https://api.skillsregistry.net/v1/skills/xiaobenyang-com-prediction-examples

## Description

预测年度GMV，快速评估业务增长趋势。分析评论情感，识别正负面反馈。整合关键洞察，提升营销与产品决策效率。

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/xiaobenyang-com/prediction-examples)
- **Repository:** <https://github.com/xiaobenyang-com/1804079084099594>

## 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": "xiaobenyang-com-prediction-examples"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-prediction-examples` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-prediction-examples/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