reports
claudeBuild, format, and review Power BI reports (PBIR), with a report pane.
10 skills · 1 command · 4 agents
Execute code and queries on Fabric compute: Spark via Livy and DuckDB.
Plugin etl from marketplace power-bi-agentic-dev in InsightfulAnalytics/PBI_Agentic_Dev. 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, and review Power BI reports (PBIR), with a report pane.
10 skills · 1 command · 4 agents
Design, build, optimize, and review semantic models.
9 skills · 1 agent
Deneb, Python, R, SVG, and pbiviz custom visuals.
7 skills · 1 MCP server
Semantic models from the terminal with the Tabular Editor CLI.
5 skills · 1 command · 1 agent · 1 MCP server
PBIP up close: TMDL, PBIR, and project file structure.
3 skills · 1 agent · hooks
Fabric and the Power BI service via the fab CLI, with a Fabric pane.
1 skill · 2 commands · 1 MCP server
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
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