# windfall-inference

> windfall-inference — papa-raw-windfall-inference. Use this tool when you need to perform efficient and cost-effective large language model (LLM) inference for spatially-routed requests. It solves problems related to processing and analyzing location-based data, providing insights at a low cost of $0.004 per request. The tool takes in spatially-routed input data and outputs inferred results, making it ideal for applications requiring geospatial analysis and LLM capabilities.

Canonical page: https://skillsregistry.net/skills/papa-raw-windfall-inference  
JSON: https://api.skillsregistry.net/v1/skills/papa-raw-windfall-inference

## Description

Spatially-routed LLM inference at $0.004/req.

## 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/papa-raw-windfall-inference)

## 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": "papa-raw-windfall-inference"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/papa-raw-windfall-inference` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/papa-raw-windfall-inference/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