# wildcard-mcp

> wildcard-mcp — shyndman-wildcard-mcp. Use this tool when you need to refine language model outputs by resisting gravity wells that cause overfitting to common responses. It solves problems of output diversity and creativity, particularly in applications where unique and varied responses are essential. The wildcard-mcp tool accepts language model outputs as input and generates more diverse and creative responses as output, ideal for use in natural language generation and text synthesis tasks.

Canonical page: https://skillsregistry.net/skills/shyndman-wildcard-mcp  
JSON: https://api.skillsregistry.net/v1/skills/shyndman-wildcard-mcp

## Description

Resisting gravity wells in LLM output

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/shyndman/wildcard-mcp)

## 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": "shyndman-wildcard-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shyndman-wildcard-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shyndman-wildcard-mcp/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