# genpark-loyalty-points-redemption-arbitrage-calculator-skill

> genpark-loyalty-points-redemption-arbitrage-calculator-skill — alpha-park-genpark-loyalty-points-redemption-arbitrage-calculator-skill. Use this tool when you need to optimize loyalty points redemption and tier progression for maximum value. It solves problems of inefficient points usage and missed tier benefits by calculating arbitrage opportunities and optimal redemption strategies. The tool takes in loyalty program details and points balances as inputs and outputs personalized redemption plans and tier progression forecasts.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-loyalty-points-redemption-arbitrage-calculator-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-loyalty-points-redemption-arbitrage-calculator-skill

## Description

Loyalty points redemption arbitrage & tier progression calculator (Smile.io)

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-loyalty-points-redemption-arbitrage-calculator-skill)

## 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": "alpha-park-genpark-loyalty-points-redemption-arbitrage-calculator-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-loyalty-points-redemption-arbitrage-calculator-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-loyalty-points-redemption-arbitrage-calculator-skill/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
