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🦀 ClawHub

Smart Spawn

by @deeflect

Pick the best AI model for any task using the Smart Spawn API. No plugin needed — just HTTP requests to ss.deeflect.com/api.

Versionv1.0.0
Downloads963
Installs3
TERMINAL
clawhub install smart-spawn

📖 About This Skill


name: smart-spawn-api description: "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=&budget=
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:

1. Decide budgetlow 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

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

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

    💡 Examples

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