feat: add DBOS skills for TypeScript, Python, and Go (#94)

Add three DBOS SDK skills with reference documentation for building
reliable, fault-tolerant applications with durable workflows.

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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Max dml
2026-02-17 14:26:51 -08:00
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---
title: Control Queue Concurrency
impact: HIGH
impactDescription: Prevents resource exhaustion with concurrent limits
tags: queue, concurrency, workerConcurrency, limits
---
## Control Queue Concurrency
Queues support worker-level and global concurrency limits to prevent resource exhaustion.
**Incorrect (no concurrency control):**
```go
queue := dbos.NewWorkflowQueue(ctx, "heavy_tasks") // No limits - could exhaust memory
```
**Correct (worker concurrency):**
```go
// Each process runs at most 5 tasks from this queue
queue := dbos.NewWorkflowQueue(ctx, "heavy_tasks",
dbos.WithWorkerConcurrency(5),
)
```
**Correct (global concurrency):**
```go
// At most 10 tasks run across ALL processes
queue := dbos.NewWorkflowQueue(ctx, "limited_tasks",
dbos.WithGlobalConcurrency(10),
)
```
**In-order processing (sequential):**
```go
// Only one task at a time - guarantees order
serialQueue := dbos.NewWorkflowQueue(ctx, "sequential_queue",
dbos.WithGlobalConcurrency(1),
)
```
Worker concurrency is recommended for most use cases. Take care with global concurrency as any `PENDING` workflow on the queue counts toward the limit, including workflows from previous application versions.
When using worker concurrency, each process must have a unique `ExecutorID` set in configuration (this is automatic with DBOS Conductor or Cloud).
Reference: [Managing Concurrency](https://docs.dbos.dev/golang/tutorials/queue-tutorial#managing-concurrency)