Background Job Persona

SkillMonitoring & ops

Use when running the full background-job loop: design, TDD, retry, monitor. Trigger words: background job, async processing, Sidekiq, Solid Queue, Active Job, worker.

Available today. Use it from your connected AI after setup.

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Then ask your AI: use the Background Job Persona skill

What this skill tells your AI

The instructions your AI receives, as published by igmarin/rails-agent-skills in skills/background-job/SKILL.md and read by ahel’s review.

Orchestrates robust background job implementation with TDD discipline, proper retry/discard strategies, comprehensive failure scenario testing, and production monitoring to ensure reliable async processing.


Phase 1: Job Design

Objective: Define job responsibilities, idempotency strategy, and error classification before writing code.

Steps:

  1. Job Purpose — Define trigger conditions, input parameters, expected output/side effects, and criticality.
  2. Idempotency — Design job to be safely re-runnable: use unique job keys, status checks, or sentinel timestamps.
  3. Error Classification — Classify all anticipated errors:
    • Transient (network timeouts, rate limits) → retry
    • Permanent (invalid data, record not found) → discard
    • Configuration (missing credentials) → alert
  4. Queue & Timeout — Assign queue priority and set execution timeout.

HARD GATE — Job Design Complete:

  • Purpose, trigger, input/output defined
  • Idempotency strategy specified
  • All errors classified as transient/permanent
  • Queue and timeout values chosen

If gate fails: Clarify requirements before implementation.


Phase 2: TDD Implementation

Objective: Implement job logic under TDD discipline.

Steps:

  1. Choose unit vs. integration test approach.
  2. Write failing tests covering: successful execution, idempotency (run twice = same result), transient error raises, permanent error discards.
  3. Confirm tests FAIL for the right reason (job not yet implemented).
  4. Propose implementation approach and wait for explicit user approval.
  5. Implement job using the structure shown in Phase 3 (retry/discard declarations included from the start); confirm tests PASS.
  6. Run full test suite — confirm no regressions.

HARD GATE — Tests Pass:

  • Tests exist and run
  • Tests failed before implementation
  • All tests pass after implementation
  • Full suite green

Example job test skeleton (for OrderConfirmationEmailJob — see Phase 3 for the matching implementation):

# spec/jobs/order_confirmation_email_job_spec.rb
RSpec.describe OrderConfirmationEmailJob do
  let(:order) { create(:order, :completed) }

  it 'sends confirmation email' do
    expect(EmailService).to receive(:send_confirmation).with(order.id, order.customer_email, order.total)
    described_class.perform_now(order.id, order.customer_email, order.total)
  end

  it 'is idempotent' do
    expect(EmailService).to receive(:send_confirmation).once
    2.times { described_class.perform_now(order.id, order.customer_email, order.total) }
  end

  it 'raises on transient errors so retry triggers' do
    allow(EmailService).to receive(:send_confirmation).and_raise(EmailService::TimeoutError)
    expect { described_class.perform_now(order.id, order.customer_email, order.total) }.to raise_error(EmailService::TimeoutError)
  end

  it 'logs and re-raises on transient error' do
    allow(EmailService).to receive(:send_confirmation).and_raise(EmailService::TimeoutError)
    expect(Rails.logger).to receive(:error).with(/transient error/)
    expect { described_class.perform_now(order.id, order.customer_email, order.total) }
      .to raise_error(EmailService::TimeoutError)
  end

  it 'discards silently on permanent error' do
    allow(EmailService).to receive(:send_confirmation).and_raise(EmailService::InvalidEmailError)
    expect { described_class.perform_now(order.id, "bad", order.total) }.not_to raise_error
  end
end

Phase 3: Retry/Discard Configuration

Objective: Harden job for production with correct retry backoff, discard rules, timeouts, and monitoring hooks.

Steps:

  1. Choose backend (Solid Queue for Rails 8+, Sidekiq for high scale) and configure worker concurrency.
  2. Apply retry_on with exponential backoff and a capped attempt count (3–5) for every transient error class.
  3. Apply discard_on for every permanent error class; log discards.
  4. Set job execution timeout and queue timeout at the worker/config level.
  5. Wire error tracking (e.g., Sentry) and metrics (e.g., StatsD/Datadog) in ApplicationJob callbacks.

Complete job implementation (matches the test skeleton in Phase 2):

# app/jobs/order_confirmation_email_job.rb
class OrderConfirmationEmailJob < ApplicationJob
  queue_as :default

  retry_on  EmailService::TimeoutError,    wait: :exponentially_longer, attempts: 5
  retry_on  EmailService::RateLimitError,  wait: :exponentially_longer, attempts: 3
  discard_on ActiveRecord::RecordNotFound
  discard_on EmailService::InvalidEmailError

  def perform(order_id, customer_email, order_total)
    order = Order.find(order_id)
    return if order.email_sent_at.present?   # idempotency guard

    EmailService.send_confirmation(order_id, customer_email, order_total)
    order.update!(email_sent_at: Time.current)
  rescue EmailService::TimeoutError, EmailService::RateLimitError => e
    Rails.logger.error("[#{self.class}] transient error: #{e.message}")
    raise
  end
end

Solid Queue (Rails 8+) snippet:

# config/initializers/solid_queue.rb
SolidQueue.configure { |c| c.worker = { processes: 2, threads: 5, polling_interval: 1 } }

Sidekiq snippet:

# config/initializers/sidekiq.rb
Sidekiq.configure_server { |c| c.redis = { url: ENV['REDIS_URL'] } }

Monitoring hook in ApplicationJob:

class ApplicationJob < ActiveJob::Base
  around_perform do |job, block|
    start = Time.current
    block.call
    StatsD.timing("jobs.#{job.class.name.underscore}.duration", Time.current - start)
    StatsD.increment("jobs.#{job.class.name.underscore}.success")
  rescue StandardError
    StatsD.increment("jobs.#{job.class.name.underscore}.failure")
    raise
  end
end

HARD GATE — Retry Strategy Configured:

  • retry_on declared for every transient error with backoff and attempt cap
  • discard_on declared for every permanent error with logging
  • Timeouts configured at job and worker level
  • Metrics/alerting wired

If gate fails: Job is not production-ready.


Phase 4: Failure Scenario Testing & Monitoring

Objective: Verify retry/discard behaviour under injected failures at the integration/production level and confirm observability.

Steps:

  1. Inject transient errors at the integration level → assert job raises and the queue backend schedules a retry (not just that the error propagates in a unit test).
  2. Inject permanent errors → assert job does not raise, error is logged, and the job is not re-enqueued.
  3. Confirm timeout handling by stubbing slow operations and verifying the worker-level timeout fires correctly.
  4. Verify metrics increment on success and failure paths (assert StatsD/Datadog counters, not just that no exception is raised).
  5. Confirm queue-depth alerts fire when queue backs up.

HARD GATE — Failure Scenarios Tested:

  • Retry path tested end-to-end (job raises on transient error and backend re-enqueues)
  • Discard path tested (no raise on permanent error, job not re-enqueued)
  • Error logging assertions pass
  • Metrics verified on success and failure
  • Performance acceptable under expected load

If gate fails: Address failure scenarios before deploying.


HARD GATE: Production Readiness

Never deploy a background job without:

  • Idempotency guard implemented and tested
  • All transient errors covered by retry_on with backoff
  • All permanent errors covered by discard_on with logging
  • Failure scenario tests passing
  • Metrics and error-tracking wired
  • Timeouts configured

Error Recovery

Job fails repeatedly in production:

  1. Check retry patterns and error rates in monitoring.
  2. Review logs for error class and stack trace.
  3. Classify error (transient vs. permanent) and adjust retry_on/discard_on if mis-classified.
  4. Fix root cause; redeploy.

Queue backs up:

  1. Scale worker processes/threads.
  2. Promote critical jobs to a higher-priority queue.
  3. Optimise job execution time or batch size.

Output Style

When completing a background job implementation, output MUST include:

# Background Job Report — [Job Name]

## Design
- Job class: <path>
- Purpose: <one-line description>
- Idempotency strategy: <database unique constraint / Redis lock / conditional check>
- Error classification: transient (<list>) / permanent (<list>)

## TDD
- Spec: <spec file path>
- RED: <failure message confirming job behavior missing>
- GREEN: <spec passes after implementation>

## Retry Configuration
- retry_on: <error classes, backoff strategy, attempt cap>
- discard_on: <error classes, logging>
- Timeouts: <job-level and worker-level>

## Failure Scenarios Tested
- Transient error → retries: ✓
- Permanent error → discards: ✓
- Idempotency → no duplicate side effects: ✓
- Timeout handling: ✓

## Monitoring
- Metrics: <StatsD/Datadog counters for success/failure/duration>
- Error tracking: <Sentry/Honeybadger integration>
- Queue depth alerts: <configured threshold>

Integration

PredecessorThis PersonaSuccessor
load-contextbackground-jobcode-review
tddbackground-jobquality
None (standalone)background-jobPR submission

Use implement-background-job alone if the job design is already decided and you only need to implement the job class and specs.

Signals

GitHub stars
25
Forks
7
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
background-job
Source
github.com/igmarin/rails-agent-skills