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iii-queue-processing

iii-queue-processing

github.com/iii-hqDevelopment221 installs
Repository

About iii-queue-processing

A queue-processing skill for iii engine developers who need reliable asynchronous job execution. It covers named queues, FIFO ordering, retries, and dead letter queues, with JavaScript, Python, and Rust examples.

Key features

  1. 01Configure named queues
  2. 02Use concurrency and FIFO queues
  3. 03Retry failures with exponential backoff
  4. 04Route exhausted jobs to a dead letter queue
  5. 05Examples in multiple languages

Use cases

  1. 01Run retryable background jobs
  2. 02Process pipeline jobs in order
  3. 03Build multi-stage queue workflows

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/iii-hq/skills --skill iii-queue-processing

After installing, type/iii-queue-processingin Claude Code to confirm it loaded.

Details

From the project README

Queue Processing

Comparable to: BullMQ, Celery, SQS

Key Concepts

Use the concepts below when they fit the task. Not every queue setup needs all of them.

  • Named queues are declared in iii-config.yaml under queue_configs
  • Standard queues process jobs concurrently; FIFO queues preserve ordering
  • TriggerAction.Enqueue({ queue }) dispatches a job to a named queue
  • Failed jobs auto-retry with exponential backoff up to max_retries
  • Jobs that exhaust retries land in a dead letter queue for inspection
  • Each consumer function receives the job payload and a messageReceiptId

Architecture

Producer function
  → TriggerAction.Enqueue({ queue: 'task-queue' })
    → Named Queue (standard or FIFO)
      → Consumer registerFunction handler
        → success / retry with backoff
          → Dead Letter Queue (after max_retries)

iii Primitives Used

PrimitivePurpose
registerFunctionDefine the consumer that processes jobs
trigger({ ..., action: TriggerAction.Enqueue({ queue }) })Dispatch a job to a named queue
messageReceiptIdAcknowledge or track individual job processing
queue_configs in iii-config.yamlDeclare queues with concurrency and retries

Reference Implementation

See ../references/queue-processing.js for the full working example — a producer that enqueues jobs and a consumer that processes them with retry logic.

Also available in Python: ../references/queue-processing.py

Also available in Rust: ../references/queue-processing.rs

Common Patterns

Code using this pattern commonly includes, when relevant:

  • registerWorker(url, { workerName }) — worker initialization
  • registerFunction(id, handler) — define the consumer
  • trigger({ function_id, payload, action: TriggerAction.Enqueue({ queue }) }) — enqueue a job
  • payload.messageReceiptId — track or acknowledge the job
  • trigger({ function_id: 'state::set', payload }) — persist results after processing
  • const logger = new Logger() — structured logging per job

Adapting This Pattern

Use the adaptations below when they apply to the task.

  • Choose FIFO queues when job ordering matters (e.g. sequential pipeline steps)
  • Set max_retries and concurrency in queue config to match your workload
  • Chain multiple queues for multi-stage pipelines (queue A consumer enqueues to queue B)
  • For idempotency, check state before processing to avoid duplicate work on retries

Engine Configuration

Named queues are declared in iii-config.yaml under queue_configs with per-queue max_retries, concurrency, type, and backoff_ms. See ../references/iii-config.yaml for the full annotated config reference.

Pattern Boundaries

  • If the task only needs fire-and-forget without retries or ordering, prefer iii-trigger-actions with TriggerAction.Void().
  • If failed jobs need special handling or alerting, prefer iii-dead-letter-queues for the DLQ consumer.
  • If the task is step-by-step orchestration with branching, prefer iii-workflow-orchestration.
  • Stay with iii-queue-processing when the primary need is reliable async job execution with retries.

When to Use

  • Use this skill when the task is primarily about iii-queue-processing in the iii engine.
  • Triggers when the request directly asks for this pattern or an equivalent implementation.

Boundaries

  • Never use this skill as a generic fallback for unrelated tasks.
  • You must not apply this skill when a more specific iii skill is a better fit.
  • Always verify environment and safety constraints before applying examples from this skill.

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