skills(jobs): merge experimental ai-dev-kit content into stable

Merges the comprehensive jobs reference content from
experimental/databricks-jobs/ into skills/databricks-jobs/ and removes
the experimental copy.

What's new in stable databricks-jobs (v0.2.0):
- Full task-types reference (9 types: notebook, spark_python,
  python_wheel, sql, dbt, pipeline, spark_jar, run_job, for_each)
- All 6 trigger types with examples (cron, periodic, file_arrival,
  table_update, continuous, manual) + combining + pause/resume
- Notifications + health rules + retries + timeouts + queues
- 7 end-to-end worked examples (ETL, warehouse refresh, event-driven,
  ML training, multi-env, streaming, cross-job orchestration)
- run_if conditions, environments (serverless deps), permissions

What's retained from the prior stable skill:
- parent: databricks-core hierarchy
- Compatibility note + version metadata (bumped 0.1.0 → 0.2.0)
- Scaffolding workflow (databricks bundle init + CLAUDE.md/AGENTS.md
  template + project structure)
- Unit testing + development workflow sections
- agents/openai.yaml + assets/

Cleanups during the merge:
- Replaced the trigger-spam description with a terse one
- Normalized hard-coded /Workspace/Users/user@example.com/ paths in
  the imported reference files to /Workspace/Shared/

scripts/skills.py: updated SKILL_METADATA description for jobs to
reflect the broader scope. Manifest regenerated; experimental count
drops from 23 to 22.

Resolves PR #73 TODO #1a.

Co-authored-by: Isaac

Author: jamesbroadhead

experimental/README.md

@@ -8,9 +8,9 @@
 > - They do not follow the same review / quality bar as the skills in
 >   [`../skills/`](../skills/).
 > - They may be out of date relative to upstream `ai-dev-kit`.
-> - They may overlap with stable skills (e.g. `databricks-jobs` exists in
->   both directories — see the install-path note below for how that's
->   resolved on disk).
+> - The on-disk install path always carries a `-experimental` suffix so
+>   experimental skills never collide with stable skills of the same name
+>   (see the install-path note below).
 > - They are not installed by `databricks experimental aitools skills install`
 >   by default — you have to opt in (see the root README).
 >
@@ -61,7 +61,6 @@ See the root [README](../README.md) for details on the stable install path.
 - **databricks-dbsql** - Databricks SQL warehouse patterns
 - **databricks-iceberg** - Apache Iceberg tables (Managed/Foreign), UniForm, Iceberg REST Catalog, Iceberg Clients Interoperability
 - **databricks-spark-structured-streaming** - Spark Structured Streaming patterns
-- **databricks-jobs** - Multi-task workflows, triggers, schedules *(also available as a stable skill — see TODO #1a in PR #73)*
 - **databricks-synthetic-data-gen** - Realistic test data with Faker
 - **databricks-zerobus-ingest** - Zerobus ingest patterns
 - **spark-python-data-source** - Python data sources for Spark