reports
claudeBuild, format, optimize, and review interactive Power BI reports.
5 skills · 4 agents
Inspect, query, and transform lakehouse data with Spark, Livy, and DuckDB.
Plugin etl from marketplace power-bi-agentic-development in data-goblin/power-bi-agentic-development. Commands read from the repo's manifest — 2 days ago.
executing-sparkExecute arbitrary Python or PySpark code on Fabric Spark compute without creating a notebook artifact; ephemeral Livy sessions with full Delta table access. Automatically invoke when the user asks to "run PySpark in Fabric", "create a Livy session", "execute Python on Fabric compute", "run Spark wit
using-duckdbQuery Fabric lakehouse and warehouse data using DuckDB, either locally or inside a Fabric notebook. Automatically invoke when the user mentions "DuckDB", "query Delta tables locally", or asks to "attach DuckDB to a lakehouse", "query OneLake data", "explore lakehouse data", "data freshness check", "
Build, format, optimize, and review interactive Power BI reports.
5 skills · 4 agents
Design, build, optimize, and review Power BI semantic models.
6 skills · 1 agent
Automate semantic models from the terminal with Tabular Editor.
5 skills · 1 command · 1 agent
Build Deneb, Python, R, SVG, and pbiviz custom visuals for Power BI.
5 skills · 1 MCP server
Edit and understand PBIP projects, including TMDL, PBIR, and project structure.
3 skills · 1 agent · hooks
Inspect and query the live Power BI Desktop model via TOM and ADOMD.NET.
1 skill · 1 agent · hooks
Databricks skills for the CLI, Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration.
37 skills · 2 commands · hooks
ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development
4 skills · 2 commands · 2 agents
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
37 skills
The Agent Skill for hsql, the best SQL client for automations and agents.
1 skill
Blazingly fast tabular data wrangling with 57 qsv skill-based commands for CSV, TSV, Excel, JSONL, and Parquet files
20 skills · 3 agents · hooks
Analytics engineering skills for warehouse exploration, dbt and semantic modeling, and schema-drift maintenance. Three skills (explore, transform, maintain) drive a local engine: warehouse reads are read-only and cost-gated, and project edits come back as reviewable diffs. Requires a local shell and uv; first use downloads the pinned engine from PyPI. No hooks, no MCP servers.
3 skills
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.