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mats16 AI Skills

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Browse published AI skills maintained by mats16. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

7

Repository stars across indexed skills

7

Repository forks

0

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

databricks-apps

mats16

Databricks Apps deployment, debugging, and configuration management. Use when working with Databricks Apps issues including deployment failures, app configuration (app.yaml), granting permissions to SQL warehou...

GitHub

databricks-dashboards

mats16

Create Databricks AI/BI dashboard JSON files in lvdash.json format. Triggers: ダッシュボード, 可視化, visualize, create dashboard, build dashboard, dashboard JSON, lvdash.json, BI dashboard, visualization, char...

GitHub

databricks-billing

mats16

Databricks billing data analysis and cost calculation using system.billing tables. Triggers: cost analysis, billing report, DBU usage, SKU costs, monthly expenses, job costs, warehouse costs, spending breakdown...

GitHub

databricks-system-tables

mats16

Databricks System Tables の分析・クエリ作成支援。Unity Catalog の system カタログに格納された運用データ(課金、監査ログ、ジョブ実行、クエリ履歴、リネージュ、コンピュートなど)を活用した分析・調査を行う際に使用...

GitHub

databricks-unity-catalog

mats16

Unity Catalog metadata inspection, data exploration, and permission management. Triggers: list catalogs, show tables, describe table, check permissions, grant access, table not found, access denied, explore sch...

GitHub

databricks-jobs

mats16

Databricks Jobs management, monitoring, and debugging. Use for job status checks, run history, failure investigation, job execution, and historical analysis. Triggers: job status, run history, job failure, debu...

GitHub

databricks-sql

mats16

A skill for using Databricks SQL (SQL Warehouse) via SDK. Supports both Python (databricks-sql-connector) and Node.js (@databricks/sql). Use when: - Connecting to SQL Warehouse from Databricks Apps to execute...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.