How do I install the Smart Spawn API skill?

Run npx skillmds@latest add modbender/smart-spawn-api in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Smart Spawn API safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Smart Spawn API?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Smart Spawn API free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Smart Spawn API?

modbender (@modbender) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Smart Spawn API by modbender — Agent Skill

Name: Smart Spawn API
Rating: 4.2 (5 reviews)
Author: modbender

File contents

Smart Spawn API

Pick the best AI model for any task. Call the API, get a model recommendation, spawn with it.

No plugin required. Works with any OpenClaw instance or any HTTP client.

Quick Start

1. GET ss.deeflect.com/api/pick?task=<description>&budget=<tier>
2. Use the returned model ID in sessions_spawn

Pick Best Model

GET https://ss.deeflect.com/api/pick?task=build+a+react+dashboard&budget=medium

Response:

{
  "data": {
    "id": "anthropic/claude-opus-4.6",
    "name": "Claude Opus 4.6",
    "score": 86,
    "pricing": { "prompt": 5, "completion": 25 },
    "reason": "Best general model at medium budget ($0-5/M) — score: 86"
  }
}

Then spawn:

sessions_spawn(task="Build a React dashboard with auth", model="anthropic/claude-opus-4.6")

Parameters

Param	Required	Description
`task`	Yes	Task description or category: `coding`, `reasoning`, `creative`, `vision`, `research`, `fast-cheap`, `general`
`budget`	No	`low` ($0-1/M), `medium` ($0-5/M, default), `high` ($2-20/M), `any`
`exclude`	No	Comma-separated model IDs to skip
`context`	No	Tags like `vision,long-context` for routing boost

Get Multiple Recommendations

GET https://ss.deeflect.com/api/recommend?task=coding&budget=low&count=3

Returns diverse models from different providers. Use for collective/parallel spawning.

Compare Models

GET https://ss.deeflect.com/api/compare?models=anthropic/claude-opus-4.6,openai/gpt-5.2

Side-by-side scores, pricing, capabilities.

Browse All Models

GET https://ss.deeflect.com/api/models?category=coding&sort=score&limit=10

Sort by score, cost, efficiency, or any category name.

Decompose Complex Tasks

POST https://ss.deeflect.com/api/decompose
{"task": "Build and deploy a SaaS app", "budget": "medium"}

Returns sequential steps with optimal model per step.

Swarm (Parallel DAG)

POST https://ss.deeflect.com/api/swarm
{"task": "Research competitors and build pitch deck", "budget": "low"}

Returns a dependency graph of parallel tasks with models assigned.

Usage Pattern

For any task that needs a sub-agent:

Decide budget — low for cheap/fast, medium for quality, high for best available
Call /api/pick with the task description
Use the returned id as the model parameter in sessions_spawn
If task is complex — use /api/decompose or /api/swarm to break it into subtasks, spawn each with its recommended model

Error Handling

API down → skip model selection, use sessions_spawn without a model (falls back to default)
No model found (404) → widen budget to any and retry
Rate limited (429) → wait and retry, or fall back to default

API Status

GET https://ss.deeflect.com/api/status

Shows model count, data freshness, source health. Data refreshes every 6 hours from 5 benchmark sources.

---name: smart-spawn-apidescription: Pick the best AI model for any task using the Smart Spawn API. No plugin needed — just HTTP requests to ss.deeflect.com/api.--- # Smart Spawn API Pick the best AI model for any task. Call the API, get a model recommendation, spawn with it. **No plugin required.** Works with any OpenClaw instance or any HTTP client. ## Quick Start ``` 1. GET ss.deeflect.com/api/pick?task=<description>&budget=<tier> 2. Use the returned model ID in sessions_spawn ``` ## Pick Best Model ```bash GET https://ss.deeflect.com/api/pick?task=build+a+react+dashboard&budget=medium ``` Response: ```json { "data": { "id": "anthropic/claude-opus-4.6", "name": "Claude Opus 4.6", "score": 86, "pricing": { "prompt": 5, "completion": 25 }, "reason": "Best general model at medium budget ($0-5/M) — score: 86" } } ``` Then spawn: ``` sessions_spawn(task="Build a React dashboard with auth", model="anthropic/claude-opus-4.6") ``` ## Parameters | Param | Required | Description | |-------|----------|-------------| | `task` | Yes | Task description or category: `coding`, `reasoning`, `creative`, `vision`, `research`, `fast-cheap`, `general` | | `budget` | No | `low` ($0-1/M), `medium` ($0-5/M, default), `high` ($2-20/M), `any` | | `exclude` | No | Comma-separated model IDs to skip | | `context` | No | Tags like `vision,long-context` for routing boost | ## Get Multiple Recommendations ```bash GET https://ss.deeflect.com/api/recommend?task=coding&budget=low&count=3 ``` Returns diverse models from different providers. Use for collective/parallel spawning. ## Compare Models ```bash GET https://ss.deeflect.com/api/compare?models=anthropic/claude-opus-4.6,openai/gpt-5.2 ``` Side-by-side scores, pricing, capabilities. ## Browse All Models ```bash GET https://ss.deeflect.com/api/models?category=coding&sort=score&limit=10 ``` Sort by `score`, `cost`, `efficiency`, or any category name. ## Decompose Complex Tasks ```bash POST https://ss.deeflect.com/api/decompose {"task": "Build and deploy a SaaS app", "budget": "medium"} ``` Returns sequential steps with optimal model per step. ## Swarm (Parallel DAG) ```bash POST https://ss.deeflect.com/api/swarm {"task": "Research competitors and build pitch deck", "budget": "low"} ``` Returns a dependency graph of parallel tasks with models assigned. ## Usage Pattern For any task that needs a sub-agent: 1. **Decide budget** — `low` for cheap/fast, `medium` for quality, `high` for best available 2. **Call /api/pick** with the task description 3. **Use the returned `id`** as the `model` parameter in `sessions_spawn` 4. **If task is complex** — use `/api/decompose` or `/api/swarm` to break it into subtasks, spawn each with its recommended model ## Error Handling - API down → skip model selection, use `sessions_spawn` without a model (falls back to default) - No model found (404) → widen budget to `any` and retry - Rate limited (429) → wait and retry, or fall back to default ## API Status ```bash GET https://ss.deeflect.com/api/status ``` Shows model count, data freshness, source health. Data refreshes every 6 hours from 5 benchmark sources.

Frequently asked questions

Smart Spawn API

File contents

Smart Spawn API

Quick Start

Pick Best Model

Parameters

Get Multiple Recommendations

Compare Models

Browse All Models

Decompose Complex Tasks

Swarm (Parallel DAG)

Usage Pattern

Error Handling

API Status

Related skills

Frequently asked questions

How do I install the Smart Spawn API skill?

What does the Smart Spawn API skill do?

Is Smart Spawn API safe to use?

Which AI agents work with Smart Spawn API?

Is Smart Spawn API free to use?

Who published Smart Spawn API?