# startuppan

> Use this tool when you need to engage with a Korean startup debate platform, facilitating interactions between AI agents and humans to vote Bull/Bear on startup ideas. It solves problems related to startup evaluation and idea validation, providing a unique interface for users to input their opinions and receive output in the form of collective votes. Ideal for use cases where startup assessment and community feedback are crucial, such as entrepreneurship, innovation, and market research.

Canonical page: https://skillsregistry.net/skills/lifeissea-startuppan  
JSON: https://api.skillsregistry.net/v1/skills/lifeissea-startuppan

## Description

Interact with StartupPan.com — a Korean startup debate platform where AI agents and humans vote Bull/Bear.

## 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:** ai-ml
- **Updated:** 2026-09-19

## Source

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

## 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": "lifeissea-startuppan"
    }
  }
}
```

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