fix: add trigger phrases to skill descriptions per Anthropic's official guide (#317)

Add "Use when" clauses and specific trigger keywords to 5 skill
descriptions that were missing them, following the pattern recommended
by The Complete Guide to Building Skills for Claude (p.10-12).

Closes #316

Co-authored-by: Claude Code

Author: moomindani

databricks-skills/databricks-config/SKILL.md

@@ -1,6 +1,6 @@
 ---
 name: databricks-config
-description: "Manage Databricks workspace connections: check which workspace you're connected to, switch workspaces, list available workspaces, or authenticate to a new workspace."
+description: "Manage Databricks workspace connections: check current workspace, switch profiles, list available workspaces, or authenticate to a new workspace. Use when the user mentions \"switch workspace\", \"which workspace\", \"current profile\", \"databrickscfg\", \"connect to workspace\", or \"databricks auth\"."
 ---
 
 Use the `manage_workspace` MCP tool for all workspace operations. Do NOT edit `~/.databrickscfg`, use Bash, or use the Databricks CLI.

databricks-skills/databricks-docs/SKILL.md

@@ -1,6 +1,6 @@
 ---
 name: databricks-docs
-description: "Databricks documentation reference. Use as a lookup resource alongside other skills and MCP tools for comprehensive guidance."
+description: "Databricks documentation reference via llms.txt index. Use when other skills do not cover a topic, looking up unfamiliar Databricks features, or needing authoritative docs on APIs, configurations, or platform capabilities."
 ---
 
 # Databricks Documentation Reference

databricks-skills/databricks-lakebase-autoscale/SKILL.md

@@ -1,6 +1,6 @@
 ---
 name: databricks-lakebase-autoscale
-description: "Patterns and best practices for using Lakebase Autoscaling (next-gen managed PostgreSQL) with autoscaling, branching, scale-to-zero, and instant restore."
+description: "Patterns and best practices for Lakebase Autoscaling (next-gen managed PostgreSQL). Use when creating or managing Lakebase Autoscaling projects, configuring autoscaling compute or scale-to-zero, working with database branching for dev/test workflows, implementing reverse ETL via synced tables, or connecting applications to Lakebase with OAuth credentials."
 ---
 
 # Lakebase Autoscaling

databricks-skills/databricks-lakebase-provisioned/SKILL.md

@@ -1,6 +1,6 @@
 ---
 name: databricks-lakebase-provisioned
-description: "Patterns and best practices for using Lakebase Provisioned (Databricks managed PostgreSQL) for OLTP workloads."
+description: "Patterns and best practices for Lakebase Provisioned (Databricks managed PostgreSQL) for OLTP workloads. Use when creating Lakebase instances, connecting applications or Databricks Apps to PostgreSQL, implementing reverse ETL via synced tables, storing agent or chat memory, or configuring OAuth authentication for Lakebase."
 ---
 
 # Lakebase Provisioned

databricks-skills/databricks-spark-structured-streaming/SKILL.md

@@ -1,6 +1,6 @@
 ---
 name: databricks-spark-structured-streaming
-description: Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, implementing real-time data processing, handling stateful operations, or optimizing streaming performance.
+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."
 ---
 
 # Spark Structured Streaming