Add databricks-serverless-storage-check skill

manifest.json

@@ -400,6 +400,18 @@
         "agents/openai.yaml",
         "assets/databricks.png",
         "assets/databricks.svg",
+        "databricks-serverless-storage-check/SKILL.md",
+        "databricks-serverless-storage-check/eval/evaluation_results.json",
+        "databricks-serverless-storage-check/eval/ground_truth.yaml",
+        "databricks-serverless-storage-check/eval/manifest.yaml",
+        "databricks-serverless-storage-check/eval/output_instructions.md",
+        "databricks-serverless-storage-check/eval/report.html",
+        "databricks-serverless-storage-check/eval/tests/conftest.py",
+        "databricks-serverless-storage-check/eval/tests/test_integration.py",
+        "databricks-serverless-storage-check/eval/tests/test_unit.py",
+        "databricks-serverless-storage-check/eval/thinking_instructions.md",
+        "databricks-serverless-storage-check/scripts/preflight.py",
+        "databricks-serverless-storage-check/scripts/test_preflight.py",
         "references/code-patterns.md",
         "references/compatibility-checks.md",
         "references/configuration-guide.md",
@@ -409,11 +421,31 @@
         "references/mlflow-uc-patterns.md",
         "references/multi-source-enumeration.md",
         "references/networking-and-security.md",
+        "references/serverless-storage-check.md",
         "references/streaming-migration.md"
       ],
       "repo_dir": "skills",
       "version": "0.1.0"
     },
+    "databricks-serverless-storage-check": {
+      "description": "Detect cross-task file-sharing antipatterns in Databricks serverless jobs (writes to /local_disk0, /tmp, or trustedTemp that are read by sibling or child tasks on potentially different compute node...",
+      "files": [
+        "SKILL.md",
+        "eval/evaluation_results.json",
+        "eval/ground_truth.yaml",
+        "eval/manifest.yaml",
+        "eval/output_instructions.md",
+        "eval/report.html",
+        "eval/tests/conftest.py",
+        "eval/tests/test_integration.py",
+        "eval/tests/test_unit.py",
+        "eval/thinking_instructions.md",
+        "scripts/preflight.py",
+        "scripts/test_preflight.py"
+      ],
+      "repo_dir": "skills",
+      "version": "0.2.0"
+    },
     "databricks-spark-structured-streaming": {
       "description": "Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, working with Kafka ingestion, implementing Real-Time Mode (RTM), configuring triggers (processingTime, availableNow), handling stateful operations with watermarks, optimizing checkpoints, performing stream-stream or stream-static joins, writing to multiple sinks, or tuning streaming cost and performance.",
       "files": [

metaplugin/plugin.meta.json

@@ -92,6 +92,7 @@
     "databricks-pipelines": { "keyword": "pipelines" },
     "databricks-dabs": { "keyword": "dabs" },
     "databricks-serverless-migration": { "keyword": "serverless" },
+    "databricks-serverless-storage-check": { "keyword": "serverless-storage-check" },
     "databricks-vector-search": { "keyword": "vector-search" }
   },