celery

Plugin celery from marketplace ai-dev-marketplace in vanman2024/ai-dev-marketplace. Commands read from the repo's manifest — 1 month ago.

Skills (10)

• beat-scheduling

  Periodic task scheduling patterns with Celery Beat (crontab, interval, solar). Use when configuring periodic tasks, setting up task schedules, implementing recurring jobs, configuring django-celery-beat, or creating dynamic schedules.

• broker-configurations

  Message broker setup patterns (Redis, RabbitMQ, SQS) for Celery including connection strings, SSL configuration, high availability, and production best practices. Use when configuring message brokers, setting up Redis/RabbitMQ/SQS, troubleshooting broker connections, implementing HA/failover, securi

• celery-config-patterns

  Celery configuration templates for all frameworks (Django, Flask, FastAPI, standalone). Use when configuring Celery, setting up task queues, creating Celery apps, integrating with frameworks, or when user mentions Celery configuration, task queue setup, broker configuration, or framework integration

• deployment-configs

  Production deployment configurations for Celery workers and beat schedulers across Docker, Kubernetes, and systemd environments. Use when deploying Celery to production, containerizing workers, orchestrating with Kubernetes, setting up systemd services, configuring health checks, implementing gracef

• framework-integrations

  Django, Flask, FastAPI integration patterns for Celery. Use when integrating Celery with Django, Flask, or FastAPI, setting up framework-specific configurations, handling application contexts, managing database transactions with tasks, configuring async workers, or when user mentions Django Celery,

• monitoring-flower

  Flower monitoring setup and configuration for Celery including real-time monitoring, authentication, custom dashboards, and Prometheus metrics integration. Use when setting up Celery monitoring, configuring Flower web UI, implementing authentication, creating custom dashboards, integrating with Prom

• result-backend-patterns

  Result backend configuration patterns for Celery including Redis, Database, and RPC backends with serialization, expiration policies, and performance optimization. Use when configuring result storage, troubleshooting result persistence, implementing custom serializers, migrating between backends, op

• routing-strategies

  Task routing and queue management patterns for Celery including priority queues, topic exchanges, worker-specific routing, and advanced queue configurations. Use when configuring task routing, managing queues, setting up priority queues, implementing worker routing, configuring topic exchanges, or w

• task-patterns

  Production-ready Celery task templates with error handling, retries, rate limiting, time limits, and custom task classes. Use when creating Celery tasks, implementing retry logic, adding rate limiting, setting time limits, building custom task classes, validating task inputs with Pydantic, handling

• workflow-canvas

  Celery canvas patterns for workflow composition including chains, groups, chords, signatures, error handling, and nested workflows. Use when building complex task workflows, parallel execution patterns, task synchronization, callback handling, or when user mentions canvas primitives, workflow compos

Slash commands (2)

• /celery:add

  Add a specific feature to an existing Celery project. Features include task, beat, workflow, monitoring, deploy.

• /celery:build

  Build complete Celery task queue system for new or existing projects with workers, beat scheduler, monitoring, and deployment

Subagents (12)

• backend-specialist

  Configure result backends (Redis, Database, RPC)

• beat-scheduler-agent

  Configure periodic task scheduling with Celery Beat

• broker-specialist

  Configure message brokers (RabbitMQ, Redis, Amazon SQS)

• celery-setup-agent

  Initialize Celery in projects with framework detection, broker selection, and configuration

• deployment-architect

  Production deployment configurations (Docker, K8s, systemd)

• django-integrator

  Integrate Celery with Django projects

• fastapi-integrator

  Integrate Celery with FastAPI with async support

• flask-integrator

  Integrate Celery with Flask applications

• monitoring-integrator

  Set up Flower monitoring and observability with event tracking and Prometheus

• task-generator-agent

  Create production-ready Celery tasks with retries and validation

• worker-architect

  Design worker configurations and pool management

• workflow-specialist

  Design and implement task workflows (chains, groups, chords)

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