Complete management of cron jobs with cron expressions. Create, list, update, pause, resume, delete, trigger, and view history. Use for reminders, automated reports, periodic checks.

2026-04-1949

name	agent_spawner
description	Create and manage specialized worker agents with optimal tool assignments and lifecycle control
version	1.1.0
author	Hive Team
icon	🤖
category	agents
permissions	["agent_manage"]
dependencies	[]
tools	["get_available_models","find_agent","create_agent","archive_agent"]
triggers	["creá un agente","create agent","creá un worker","create worker","nuevo agente","new agent","agente especializado","specialized agent","buscá un agente","find agent","archivá agente","archive agent","worker inactivo","inactive worker"]
preferred_agents	[]
steps	[{"step":1,"action":"find_agent","instruction":"Search for existing agents before creating new one","params":{"search":"agent name or specialty","status":"idle"},"output":"existing_agents"},{"step":2,"action":"decision_reuse_or_create","instruction":"If suitable agent exists, reuse it. Otherwise, proceed to create","output":"decision"},{"step":3,"action":"get_available_models","instruction":"Query available providers and models from database to select optimal model for the agent","params":{"capabilities":"required capability (coding, chat, analysis, vision)","modelType":"llm (default)"},"output":"available_models"},{"step":4,"action":"create_agent","instruction":"Create new worker with focused system_prompt, minimal tools, and optimal provider/model","params":{"name":"specialty_name","description":"Clear specialty description","system_prompt":"Focused instructions for role","tools_json":["minimal","required","tools"],"providerId":"selected from get_available_models","modelId":"selected from get_available_models"},"output":"new_agent_id"},{"step":5,"action":"archive_agent (if needed)","instruction":"Archive workers that are no longer needed or inactive >14 days","params":{"agent_id":"agent to archive","reason":"no longer needed"},"output":"archived"}]
rules	["ALWAYS use find_agent BEFORE create_agent — never duplicate workers","ALWAYS use get_available_models BEFORE create_agent — providerId y modelId son OBLIGATORIOS","Workers have role='worker', coordinator has role='coordinator'","Assign MINIMUM required tools (principle of least privilege)","system_prompt must be specific and focused on specialty","Use descriptive names that indicate agent's purpose","Archive agents inactive >14 days (Curator does this automatically)"]
output_format	{"structure":"markdown","sections":["action_taken","agent_name","specialty","tools_assigned","status"],"max_length":"Agent creation/management summary"}
examples	[{"user_input":"creá un agente para investigación web","expected_behavior":"find_agent('researcher') → if not exists, create_agent({ name: 'ai_researcher', tools: ['web_search', 'web_fetch'] })"},{"user_input":"hay un worker para escribir contenido","expected_behavior":"find_agent({ search: 'writer' }) → return existing writer agents"},{"user_input":"archivá los agentes inactivos","expected_behavior":"find_agent({ status: 'idle' }) → archive_agent for those inactive >14 days"}]

Agent Spawner Skill

Cuándo se Activa

Para crear nuevos workers especializados o gestionar el ciclo de vida de agents existentes.

Herramientas Disponibles

Tool	Qué hace	Cuándo usarla
`get_available_models`	Consulta providers y modelos activos de la BD	ANTES de crear — seleccionar modelo óptimo
`find_agent`	Busca agents existentes	PRIMERO — antes de crear
`create_agent`	Crea nuevo worker	Si no existe apto
`archive_agent`	Archiva worker	Limpieza, inactivos

Workflow

Crear Agent

Buscar → find_agent({ search }) — ¿existe?
Si existe → Reutilizar
Si no existe → get_available_models({ capabilities }) — seleccionar modelo óptimo
Crear → create_agent({...}) con providerId y modelId seleccionados

Create Agent Config

// 1. Consultar modelos disponibles para coding
get_available_models({ capabilities: "coding" })
// → [{ providerId: "openai", modelId: "gpt-4o", contextWindow: 128000 }, ...]

// 2. Crear agente con modelo óptimo (providerId y modelId son OBLIGATORIOS)
create_agent({
  name: "ai_coder",
  description: "Especialista en código y refactorización",
  system_prompt: `
    Sos desarrollador experto. Tu rol:
    1. Escribir código limpio y testeable
    2. Refactorizar código existente
    3. Revisar PRs y sugerir mejoras
  `,
  tools_json: ["fs_read", "fs_write", "fs_edit", "cli_exec"],
  providerId: "openai",  // OBLIGATORIO - seleccionado de get_available_models
  modelId: "gpt-4o",     // OBLIGATORIO - seleccionado de get_available_models
  tone: "professional",
  max_iterations: 15
})

Mejores Prácticas

Buscar primero: Nunca duplicar workers
Consultar modelos: Usar get_available_models ANTES de crear para seleccionar provider/model óptimo
System prompt específico: Enfocado en especialidad
Mínimo privilegio: Solo tools necesarias
Nombres descriptivos: Que indiquen propósito
Modelo adecuado: Seleccionar según capacidad requerida (coding, chat, analysis, vision)

Errores a Evitar

❌ Crear sin buscar primero
❌ Crear sin consultar modelos disponibles (get_available_models)
❌ Usar modelo inadecuado para la tarea (ej: modelo pequeño para coding complejo)
❌ Tools en exceso ("por las dudas")
❌ System prompt genérico
❌ Nombres vagos ("worker1", "agent1")