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async-jobs

Async 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.

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yonatangross/orchestkit
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29 de septiembre de 2026 a las 15:03
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SKILL.md
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name
async-jobs
license
MIT
compatibility
Claude Code 2.1.277+.
description
Async 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.
context
fork
agent
python-performance-engineer
user-invocable
false
disable-model-invocation
true
metadata
{"category":"workflow-automation","version":"2.0.0","author":"OrchestKit","complexity":"medium","tags":"async, jobs, celery, background-tasks, scheduling, queues"}
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# Async Jobs Background task processing with Celery, ARQ, Redis and Temporal. This skill is a wrapper, not a manual: Celery and ARQ document their own product well, so what lives here is our delta, the thresholds, working config, ordering constraints and tool-choice rules we picked. Product mechanics are linked, not restated. Start with `Read("references/ork-delta.md")`. ## Quick Reference | Topic | Where our part lives | |-------|----------------------| | [Configuration](#configuration) | `references/celery-config.md`, `rules/jobs-task-queue.md` | | [Task Routing](#task-routing) | `references/ork-delta.md` (queue taxonomy, prefetch tiers, Redis priority) | | [Canvas Workflows](#canvas-workflows) | `rules/celery-canvas.md` | | [Retry Strategies](#retry-strategies) | `references/ork-delta.md` (backoff cap, idempotency layers, lock TTLs) | | [Scheduling](#scheduling) | `rules/jobs-scheduling.md`, `references/ork-delta.md` (beat process model) | | [Monitoring](#monitoring) | `references/ork-delta.md` (alert thresholds, histogram buckets) | | [Result Backends](#result-backends) | `rules/jobs-monitoring.md`, `references/ork-delta.md` (return contract) | | [ARQ Patterns](#arq-patterns) | `rules/jobs-task-queue.md`, `references/ork-delta.md` (budgets, pool ownership) | | [Temporal Workflows](#temporal-workflows) | `rules/temporal-workflows.md` | | [Temporal Activities](#temporal-activities) | `rules/temporal-activities.md` | 10 topic areas, 6 rule files in `rules/`, house delta in `references/ork-delta.md`. ## Quick Start ```python @app.task(bind=True, max_retries=3, default_retry_delay=60) def process_payment(self, order_id: str): try: return gateway.charge(order_id) except TransientError as exc: raise self.retry(exc=exc, countdown=2 ** self.request.retries * 60) ``` Load more examples: `Read("references/quick-start-examples.md")` for Celery retry task and ARQ/FastAPI integration patterns. ## Upstream coverage (do not restate) Fetch these when you need product mechanics. The right-hand column is the part we keep, because it is a house threshold, a working config or an ordering constraint that upstream cannot know. | Topic | First-party source | House subset stays in | |-------|--------------------|-----------------------| | Celery settings, serializers, time limits, worker flags | https://docs.celeryq.dev/en/stable/userguide/configuration.html and .../optimizing.html | `references/celery-config.md`, `rules/jobs-task-queue.md` | | Queue declarations, router classes, Redis priority mechanics | https://docs.celeryq.dev/en/stable/userguide/routing.html | `references/ork-delta.md` | | chain / group / chord / signature semantics | https://docs.celeryq.dev/en/stable/userguide/canvas.html | `rules/celery-canvas.md` keeps the house canvas subset. Its `si()`-in-chords guidance is UNVERIFIED and contested: confirm the argument-passing behaviour against the upstream canvas page before relying on it | | `autoretry_for`, `retry_backoff`, `Reject`, task base classes | https://docs.celeryq.dev/en/stable/userguide/tasks.html | `references/ork-delta.md`, `rules/jobs-task-queue.md` | | Beat schedules, crontab syntax, DatabaseScheduler | https://docs.celeryq.dev/en/stable/userguide/periodic-tasks.html and https://django-celery-beat.readthedocs.io/en/latest/ | `rules/jobs-scheduling.md` keeps our `beat_schedule` shapes; `references/ork-delta.md` keeps the process model | | Flower flags, `inspect`, signal names | https://docs.celeryq.dev/en/stable/userguide/monitoring.html, https://docs.celeryq.dev/en/stable/userguide/signals.html, https://flower.readthedocs.io/en/latest/config.html | `references/ork-delta.md` | | Result backend, `AsyncResult`, custom states | https://docs.celeryq.dev/en/stable/userguide/configuration.html | `rules/jobs-monitoring.md` keeps our status endpoints and `update_state()` usage | | Per-task `rate_limit`, `control.rate_limit`, Redis Lua | https://docs.celeryq.dev/en/stable/userguide/workers.html, https://redis.io/docs/latest/develop/programmability/eval-intro/ | `references/ork-delta.md` | | ARQ `WorkerSettings`, `enqueue_job`, `_defer_by` / `_defer_until`, `Job` status | https://arq-docs.helpmanual.io/ | `rules/jobs-task-queue.md` keeps the worker skeleton; `references/ork-delta.md` keeps the budgets | | FastAPI lifespan and dependency wiring | https://fastapi.tiangolo.com/advanced/events/ | `references/ork-delta.md` | | Distributed locks with `SET NX EX` | https://redis.io/docs/latest/commands/set/ | `references/ork-delta.md` | ## Configuration Load: `Read("references/celery-config.md")`. | Decision | Recommendation | |----------|----------------| | Serializer | JSON (never pickle) | | Ack mode | Late ack (`task_acks_late=True`) | | Prefetch | 1 for fair, 4-8 for throughput | | Time limit | soft < hard (540 / 600) | | Timezone | UTC always | ## Task Routing | Decision | Recommendation | |----------|----------------| | Queue count | 5: critical / high / default / low / bulk | | Priority levels | 0-9, with all four Redis priority switches set together | | Worker assignment | Dedicated worker per queue | | Prefetch | 1 critical, 2 high, 4 default, 8 low/bulk | | Routing | Router class once past 5 routing rules | ## Canvas Workflows Load: `Read("rules/celery-canvas.md")`. | Decision | Recommendation | |----------|----------------| | Sequential | Chain with `s()` | | Parallel | Group for independent tasks | | Fan-in | Chord (all header tasks must succeed for the body to run) | | Ignore input | Use `si()` immutable signature | | Error in chain | `Reject` stops the chain, `retry` continues it | | Partial failures | Return an error dict from chord header tasks | ## Retry Strategies | Decision | Recommendation | |----------|----------------| | Retry delay | Exponential backoff, jitter on, capped at 600s | | Max retries | 3-5 for transient, 0 for permanent | | Idempotency | Redis marker (86400s TTL) plus the vendor idempotency key | | Failed tasks | DLQ for manual review | | Singleton | Redis lock with a TTL longer than the hard time limit | ## Scheduling Load: `Read("rules/jobs-scheduling.md")`. | Decision | Recommendation | |----------|----------------| | Schedule type | Crontab for time-based, float interval for frequency | | Dynamic | DatabaseScheduler (`django-celery-beat`) | | Overlap | Redis lock, 3600s default and 7200s for long jobs | | Beat process | Separate process; embedded `--beat` is development only | | Timezone | UTC always | ## Monitoring | Decision | Recommendation | |----------|----------------| | Dashboard | Flower with persistent storage | | Metrics | Prometheus wired to `task_prerun` / `task_postrun` / `task_failure` | | Health | Broker reachable, at least one worker, queue depths | | Alerting | critical > 100, default > 5000, workers < 1 | | Autoscale | Queue depth > 500 | ## Result Backends Load: `Read("rules/jobs-monitoring.md")`. | Decision | Recommendation | |----------|----------------| | Status storage | Redis result backend, status and small JSON only | | Large results | S3 or database, task returns a reference dict | | Progress | Custom states with `update_state()` | | Result query | `AsyncResult` with state checks | ## ARQ Patterns Load: `Read("rules/jobs-task-queue.md")`. | Decision | Recommendation | |----------|----------------| | Simple async | ARQ (native async), `max_jobs=10`, `job_timeout=300` | | Pool ownership | FastAPI lifespan, never a per-request `create_pool` | | Complex workflows | Celery (chains, chords, DLQ, per-task rate limits) | | In-process quick | FastAPI BackgroundTasks, under 30s, non-critical only | | LLM workflows | LangGraph, not Celery | ## Tool Selection Load: `Read("references/quick-start-examples.md")` for the full tool comparison table (ARQ, Celery, RQ, Dramatiq, FastAPI BackgroundTasks). ## Anti-Patterns (FORBIDDEN) Load details: `Read("references/anti-patterns.md")` for the full list. Key rules: never run long tasks in request handlers, never block on results inside tasks, never store large results in Redis, always use idempotency for retried tasks. ## Temporal Workflows Load: `Read("rules/temporal-workflows.md")`. | Decision | Recommendation | |----------|----------------| | Workflow ID | Business-meaningful, idempotent | | Determinism | Use `workflow.random()`, `workflow.now()` | | I/O | Always via activities, never directly | ## Temporal Activities Load: `Read("rules/temporal-activities.md")`. | Decision | Recommendation | |----------|----------------| | Activity timeout | `start_to_close` for most cases | | Error handling | Non-retryable for business errors | | Testing | `WorkflowEnvironment.start_local()` for integration tests | ## Related Skills - `ork:python-backend` - FastAPI, asyncio, SQLAlchemy patterns - `ork:langgraph` - LangGraph workflow patterns (use for LLM workflows, not Celery) - `ork:distributed-systems` - Resilience patterns, circuit breakers - `ork:monitoring-observability` - Metrics and alerting ## Capability Details Load details: `Read("references/capability-details.md")` for the keyword index and problem-to-capability mapping.
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