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>

skills/dbos-python/references/queue-basics.md

@@ -0,0 +1,60 @@
+---
+title: Use Queues for Concurrent Workflows
+impact: HIGH
+impactDescription: Queues provide managed concurrency and flow control
+tags: queue, concurrency, enqueue, workflow
+---
+
+## Use Queues for Concurrent Workflows
+
+Queues run many workflows concurrently with managed flow control. Use them when you need to control how many workflows run at once.
+
+**Incorrect (uncontrolled concurrency):**
+
+```python
+@DBOS.workflow()
+def process_task(task):
+    pass
+
+# Starting many workflows without control
+for task in tasks:
+    DBOS.start_workflow(process_task, task)  # Could overwhelm resources
+```
+
+**Correct (using queue):**
+
+```python
+from dbos import Queue
+
+queue = Queue("task_queue")
+
+@DBOS.workflow()
+def process_task(task):
+    pass
+
+@DBOS.workflow()
+def process_all_tasks(tasks):
+    handles = []
+    for task in tasks:
+        # Queue manages concurrency
+        handle = queue.enqueue(process_task, task)
+        handles.append(handle)
+    # Wait for all tasks
+    return [h.get_result() for h in handles]
+```
+
+Queues process workflows in FIFO order. You can enqueue both workflows and steps.
+
+```python
+queue = Queue("example_queue")
+
+@DBOS.step()
+def my_step(data):
+    return process(data)
+
+# Enqueue a step
+handle = queue.enqueue(my_step, data)
+result = handle.get_result()
+```
+
+Reference: [DBOS Queues](https://docs.dbos.dev/python/tutorials/queue-tutorial)