django-pro
sickn33Master Django 5.x with async views, DRF, Celery, and Django Channels. Build scalable web applications with proper architecture, testing, and deployment.
rag-skills
llama-farmRAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and performance.
server-skills
llama-farmServer-specific best practices for FastAPI, Celery, and Pydantic. Extends python-skills with framework-specific patterns.
enferno-dev
level09Development skill for Enferno Flask framework. Use when implementing features, fixing bugs, or writing code for Enferno-based applications. This includes creating models, API endpoints, Vue.js frontend components, database operations, or any development task within the Enferno ecosystem. Triggers: creating blueprints, adding models, building APIs, Vue/Vuetify components, Celery tasks, database migrations.
using-message-queues
ancolemanAsync communication patterns using message brokers and task queues. Use when building event-driven systems, background job processing, or service decoupling. Covers Kafka (event streaming), RabbitMQ (complex routing), NATS (cloud-native), Redis Streams, Celery (Python), BullMQ (TypeScript), Temporal (workflows), and event sourcing patterns.
async-jobs
yonatangrossAsync job processing patterns for background tasks, Celery workflows, task scheduling, retry strategies, and distributed task execution. Use when implementing background job processing, task queues, or scheduled task systems.
background-job-orchestrator
curiositechExpert in background job processing with Bull/BullMQ (Redis), Celery, and cloud queues. Implements retries, scheduling, priority queues, and worker management. Use for async task processing, email campaigns, report generation, batch operations. Activate on "background job", "async task", "queue", "worker", "BullMQ", "Celery". NOT for real-time WebSocket communication, synchronous API calls, or simple setTimeout operations.
message_queues
vuralserhat86Async communication patterns using message brokers and task queues. Use when building event-driven systems, background job processing, or service decoupling. Covers Kafka (event streaming), RabbitMQ (complex routing), NATS (cloud-native), Redis Streams, Celery (Python), BullMQ (TypeScript), Temporal (workflows), and event sourcing patterns.
background-jobs
cosmixBackground job processing patterns including job queues, scheduled jobs, worker pools, and retry strategies. Use when implementing async processing, job queues, workers, task queues, async tasks, delayed jobs, recurring jobs, scheduled tasks, ETL pipelines, data processing, ML training jobs, Celery, Bull, Sidekiq, Resque, cron jobs, retry logic, dead letter queues, DLQ, at-least-once delivery, exactly-once delivery, job monitoring, or worker management.
celery-expert
martinholovskyExpert Celery distributed task queue engineer specializing in async task processing, workflow orchestration, broker configuration (Redis/RabbitMQ), Celery Beat scheduling, and production monitoring. Deep expertise in task patterns (chains, groups, chords), retries, rate limiting, Flower monitoring, and security best practices. Use when designing distributed task systems, implementing background job processing, building workflow orchestration, or optimizing task queue performance.
Django Celery Expert
vintasoftwareExpert Django Celery guidance for asynchronous task processing. Use when designing background tasks, configuring Celery workers, handling task retries and errors, optimizing Celery performance, implementing periodic tasks with Celery Beat, or setting up production monitoring for Celery. Do not use for general Django questions unrelated to Celery, non-Celery task systems (Django Q, Huey, RQ), ML/data pipeline orchestration (Airflow, Prefect), or frontend and API-only concerns. Follows Vinta's Django Celery best practices.
Celery
bobmatnycDistributed task queue system for Python enabling asynchronous execution of background jobs, scheduled tasks, and workflows across multiple workers with Django, Flask, and FastAPI integration.
background-jobs-designer
patricio0312revDesigns background job processing systems with queue integration (BullMQ/Celery), job definitions, retry policies, exponential backoff, idempotent execution, and monitoring hooks. Use when implementing "background jobs", "task queues", "async processing", or "job workers".
trigger-dev
TerminalSkillsBuild reliable background jobs with Trigger.dev. Use when a user asks to run long-running tasks in the background, process webhooks reliably, build async job queues for serverless, schedule recurring tasks, run AI/LLM pipelines in the background, process file uploads asynchronously, or replace BullMQ or Celery with a serverless-native solution. Covers task definition, triggers, scheduling, retries, concurrency control, and integration with Next.js, Remix, and Express.
inngest
TerminalSkillsBuild reliable background jobs and workflows with Inngest. Use when a user asks to run background tasks, create event-driven workflows, build reliable job queues, set up step functions for long-running processes, schedule recurring jobs, handle webhook processing, build multi-step async workflows, add retries and error handling to background jobs, or replace BullMQ/Celery with a serverless-friendly alternative. Covers event sending, function definition, step orchestration, retries, scheduling, and fan-out patterns.
celery
TerminalSkillsRun background tasks in Python with Celery. Use when a user asks to process tasks asynchronously, schedule periodic jobs, run background workers, build task queues in Python, or offload heavy processing from web requests.
job-queue
TerminalSkillsBuild job queues and background worker systems using BullMQ, Celery, or Sidekiq. Use when you need to offload slow tasks from request handlers — email sending, PDF generation, image processing, data exports, or any work that takes more than a few hundred milliseconds. Covers job priorities, concurrency control, scheduled jobs, progress tracking, and graceful shutdown. Trigger words: background job, worker, queue, async task, BullMQ, Celery, cron job, scheduled task, job retry.
hatchet
TerminalSkillsOrchestrate background jobs and workflows with Hatchet — open-source distributed task queue with DAG workflows. Use when someone asks to "run background jobs", "Hatchet", "workflow orchestration", "distributed task queue", "durable execution", "replace Celery/Bull", or "DAG workflow engine". Covers workflow definition, step functions, retries, concurrency control, and event-driven triggers.
django-pro
agent-skills-hubMaster Django 5.x with async views, DRF, Celery, and Django Channels. Build scalable web applications with proper architecture, testing, and deployment. Use PROACTIVELY for Django development, ORM optimization, or complex Django patterns.
new-task
vadim7j7Generate a Celery task with retry configuration
python-messaging
mindcockpit-aiAsync messaging and middleware patterns for Python — in-process events, background tasks, Redis queues, Celery, Redis Streams, and Kafka. Graduated complexity from simple to enterprise scale.
django-design
Travis-GilbertThis skill should be used when the user asks to build a Django project, design Django models or database schemas, create views and APIs, configure deployment or settings, set up authentication and permissions, customize the Django admin, optimize query performance, configure background tasks with Celery or django-rq, build CMS or content management features, integrate external APIs, create Django forms or templates, integrate HTMX or Unpoly, review Django migrations, or scaffold a new Django app. It covers the full Django backend lifecycle from project structure through production deployment. It does NOT cover pure frontend work (use frontend-design for that) unless Django templates are involved.
task-scheduling
sharp-skillsRuns recurring tasks (cron jobs), delayed tasks, and periodic background work reliably without missing executions or running duplicates. Use when you need to send daily emails, clean up stale data, run nightly reports, or trigger any action on a schedule. Triggers on: cron, scheduled task, periodic task, background job, Celery beat, APScheduler, cron job, daily report, cleanup job, reminder.
setup-celery-task-queue
Snehal707Set up and configure Celery distributed task queue for asynchronous job processing
async-job-status-tracking
sharp-skillsProvides clients with real-time status updates for long-running background jobs via polling or webhooks. Use when operations take longer than a few seconds, when synchronous timeouts are a problem, or when clients need to track progress. Triggers on: async job, background task, job status, polling endpoint, webhook callback, long-running operation, task ID, progress tracking, job queue, 202 Accepted, Celery task status.
django-pro
oki3505FMaster Django 5.x with async views, DRF, Celery, and Django Channels. Build scalable web applications with proper architecture, testing, and deployment. Use PROACTIVELY for Django development, ORM optimization, or complex Django patterns.
Celery
sharp-skillsWork with Celery — integrate, configure, and automate. Use when asked to set up Celery, use the Celery API, integrate Celery into a project, troubleshoot Celery errors, or build Celery automation.
django-pro
haniakrim21Master Django 5.x with async views, DRF, Celery, and Django Channels. Build scalable web applications with proper architecture, testing, and deployment. Use PROACTIVELY for Django development, ORM optimization, or complex Django patterns.
background-job-patterns
sharp-skillsImplements reliable background job processing for long-running tasks, scheduled work, and async operations that shouldn't block HTTP responses. Triggers on: background job, async task, queue, Celery, worker, cron job, job processing, task queue, deferred work, email sending, report generation.