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davidcastagnetoa/skills

celery_flower

Dashboard de monitorización de Celery para estado de workers y colas

First seen Mar 3, 2026

Installation

$ npx skills add davidcastagnetoa/skills --skill celery_flower
View on skills.sh ↗ GitHub repository ↗

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 1
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,230 B
  • docs SUMMARY.md 90 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 13 installs

SKILL.md

celery_flower

Flower es el dashboard web de monitorización para Celery. Muestra en tiempo real el estado de workers, tareas en curso, profundidad de colas y métricas de rendimiento.

When to use

Usar en el workerpoolagent para visibilidad operativa de las colas de tareas. Especialmente útil en desarrollo y debugging, y como complemento a Grafana en producción.

Instructions

  1. Instalar: pip install flower.
  2. Arrancar: celery -A verifid flower --port=5555.
  3. Acceder al dashboard en http://localhost:5555.
  4. Configurar autenticación: --basic-auth=admin:password.
  5. Habilitar API REST para integración con alertas: GET /api/workers.
  6. Configurar persistencia de datos: --persistent=True --db=flower.db.
  7. En producción, proteger con Nginx reverse proxy y autenticación.

Notes

  • Flower consume poca memoria (~50MB) y se puede desplegar como sidecar.
  • No exponer Flower directamente a internet; siempre detrás de Nginx con auth.
  • Para métricas duraderas, exportar a Prometheus; Flower es mejor para debugging puntual.