# deck-builder

> deck-builder — teamolab-deck-builder. Use this tool when you need to create and optimize custom card decks for various games and applications. It solves problems such as deck imbalance, card synergy, and strategy development by generating and refining deck configurations based on input parameters like card pools and game rules. The deck-builder tool accepts game-specific data and constraints as inputs and produces optimized deck lists and strategies as outputs.

Canonical page: https://skillsregistry.net/skills/teamolab-deck-builder  
JSON: https://api.skillsregistry.net/v1/skills/teamolab-deck-builder

## Description

AI agent for deck builder tasks.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/teamolab-deck-builder)

## 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": "teamolab-deck-builder"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/teamolab-deck-builder` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/teamolab-deck-builder/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