python-background-jobs
Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.
Profile →npx skills add wshobson/agents --skill python-background-jobs --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Python Background Jobs & Task Queues Decouple long-running or unreliable work from request/response cycles. Return immediately to the user while background workers handle the heavy lifting asynchronously. ## When to Use This Skill - Processing tasks that take longer than a few seconds - Sending emails, notifications, or webhooks - Generating reports or exporting data - Processing uploads or media transformations - Integrating with unreliable external services - Building event-driven architectures ## Core Concepts ### 1. Task Queue Pattern API accepts request, enqueues a job, returns immediately with a job ID. Workers process jobs asynchronously. ### 2. Idempotency Tasks may be retried on failure. Design for safe re-execution. ### 3. Job State Machine Jobs transition through states: pending → running → succeeded/failed. ### 4. At-Least-Once Delivery Most queues guarantee at-least-once delivery. Your code must handle duplicates. ## Quick Start This skill uses Celery for examples, a widely adopted task queue. Alternatives like RQ, Dramatiq, and cloud-native solutions (AWS SQS, GCP Tasks) are equally valid choices. ```python from celery import Celery app = Celery("tasks", broker="red
- When to Use This Skill
- Core Concepts
- 1. Task Queue Pattern
- 2. Idempotency
- 3. Job State Machine
- 4. At-Least-Once Delivery
- Quick Start
- Fundamental Patterns
- Pattern 1: Return Job ID Immediately
- Pattern 2: Celery Task Configuration
- Pattern 3: Make Tasks Idempotent
- Pattern 4: Job State Management
- Detailed worked examples and patterns
- Best Practices Summary
What does the python-background-jobs skill do?
Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.
How do I install it?
Run `npx skills add wshobson/agents --skill python-background-jobs --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From wshobson/agents, a repository with 38,479 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.