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/_sections.md

@@ -0,0 +1,41 @@
+# Section Definitions
+
+This file defines the rule categories for DBOS Python best practices. Rules are automatically assigned to sections based on their filename prefix.
+
+---
+
+## 1. Lifecycle (lifecycle)
+**Impact:** CRITICAL
+**Description:** DBOS configuration, initialization, and launch patterns. Foundation for all DBOS applications.
+
+## 2. Workflow (workflow)
+**Impact:** CRITICAL
+**Description:** Workflow creation, determinism requirements, background execution, and workflow IDs.
+
+## 3. Step (step)
+**Impact:** HIGH
+**Description:** Step creation, retries, transactions, and when to use steps vs workflows.
+
+## 4. Queue (queue)
+**Impact:** HIGH
+**Description:** Queue creation, concurrency limits, rate limiting, partitioning, and priority.
+
+## 5. Communication (comm)
+**Impact:** MEDIUM
+**Description:** Workflow events, messages, and streaming for inter-workflow communication.
+
+## 6. Pattern (pattern)
+**Impact:** MEDIUM
+**Description:** Common patterns including idempotency, scheduled workflows, debouncing, and classes.
+
+## 7. Testing (test)
+**Impact:** LOW-MEDIUM
+**Description:** Testing DBOS applications with pytest, fixtures, and best practices.
+
+## 8. Client (client)
+**Impact:** MEDIUM
+**Description:** DBOSClient for interacting with DBOS from external applications.
+
+## 9. Advanced (advanced)
+**Impact:** LOW
+**Description:** Async workflows, workflow versioning, patching, and code upgrades.