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/comm-streaming.md

@@ -0,0 +1,57 @@
+---
+title: Use Streams for Real-Time Data
+impact: MEDIUM
+impactDescription: Enables real-time progress and LLM streaming
+tags: streaming, write_stream, read_stream, realtime
+---
+
+## Use Streams for Real-Time Data
+
+Workflows can stream data in real-time to clients. Useful for LLM responses, progress reporting, or long-running results.
+
+**Incorrect (returning all data at end):**
+
+```python
+@DBOS.workflow()
+def llm_workflow(prompt):
+    # Client waits for entire response
+    response = call_llm(prompt)
+    return response
+```
+
+**Correct (streaming results):**
+
+```python
+@DBOS.workflow()
+def llm_workflow(prompt):
+    for chunk in call_llm_streaming(prompt):
+        DBOS.write_stream("response", chunk)
+    DBOS.close_stream("response")
+    return "complete"
+
+# Client reads stream
+@app.get("/stream/{workflow_id}")
+def stream_response(workflow_id: str):
+    def generate():
+        for value in DBOS.read_stream(workflow_id, "response"):
+            yield value
+    return StreamingResponse(generate())
+```
+
+Stream characteristics:
+- Streams are immutable and append-only
+- Writes from workflows happen exactly-once
+- Writes from steps happen at-least-once (may duplicate on retry)
+- Streams auto-close when workflow terminates
+
+Close streams explicitly when done:
+
+```python
+@DBOS.workflow()
+def producer():
+    DBOS.write_stream("data", {"step": 1})
+    DBOS.write_stream("data", {"step": 2})
+    DBOS.close_stream("data")  # Signal completion
+```
+
+Reference: [Workflow Streaming](https://docs.dbos.dev/python/tutorials/workflow-communication#workflow-streaming)