# smart-spawn

> smart-spawn — deeflect-smart-spawn. Use this tool when you need to automate the selection of optimal AI models for various tasks, solving problems of model compatibility and performance. It takes in task specifications as input and outputs the most suitable AI model, streamlining the model selection process. Ideal for use cases where multiple AI models are available, and the best fit needs to be determined for efficient task execution.

Canonical page: https://skillsregistry.net/skills/deeflect-smart-spawn  
JSON: https://api.skillsregistry.net/v1/skills/deeflect-smart-spawn

## Description

Pick the best AI model for any task using the Smart Spawn API.

## 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:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/deeflect-smart-spawn)

## 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": "deeflect-smart-spawn"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deeflect-smart-spawn` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deeflect-smart-spawn/pull`

---
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