fabric-consumption

Plugin fabric-consumption from marketplace fabric-collection in alifadl009/microsoft-fabric-claude-skill. Commands read from the repo's manifest — 1 month ago.

Skills (12)

• activator-consumption-cli

  Inspect existing alerts, notifications, and automated actions in Fabric via read-only REST API calls using `az rest` CLI. **Invoke this skill** whenever the user wants to: (1) list existing alerts in a workspace, (2) inspect how an alert or notification is configured, (3) read and decode an Activato

• check-updates

  Check for skills-for-fabric marketplace updates at session start. Compares local version against GitHub releases and shows changelog if updates are available. Use when the user wants to: (1) check for skill updates, (2) see what's new in skills-for-fabric, (3) verify current version. Triggers: "chec

• dataflows-consumption-cli

  Monitor, inspect, and query saved Fabric Dataflows Gen2 via read-only CLI. List dataflows, decode base64 definitions (mashup.pq, queryMetadata.json, .platform), discover parameters, retrieve refresh status and job history, classify queries by staging, and execute queries against saved dataflows via

• eventhouse-consumption-cli

  Run KQL queries against Fabric Eventhouse for real-time intelligence and time-series analytics using `az rest` against the Kusto REST API. Covers KQL operators (where, summarize, join, render), Eventhouse schema discovery (.show tables), time-series patterns with bin(), and ingestion monitoring. Use

• eventstream-consumption-cli

  List, inspect, and monitor Fabric Eventstream real-time ingestion pipelines via the Items REST API. Discover Eventstreams across workspaces, decode base64 graph topologies tracing event flow from source through operators to destination nodes. Validate connection IDs, wiring, retention policies (1-90

• fabriciq-ontology-consumption-cli

  Explore Fabric IQ Ontology (preview) items (read-only) from the CLI to ground an agent before it queries data. Explore, describe, and summarize what an ontology exposes — its entity types, keys, relationships, and the bindings that map each concept onto a lakehouse or Eventhouse source — then route

• fabriciq

  Answer natural-language business questions over existing Power BI reports and dashboards through the FabricIQ MCP endpoint. Orchestrates artifact discovery, schema inspection, entity resolution, DAX generation, and query execution to return plain-language answers. Use when the user asks what, which,

• search-consumption-cli

  Search the Microsoft Fabric catalog to find an item by name across all workspaces when you don't know which workspace it is in, using the Fabric Catalog Search API. Use when the user wants to: (1) search the catalog for an item by name across workspaces, (2) discover or list items of a specific type

• semantic-model-consumption

  Execute raw DAX queries and inspect metadata of Microsoft Fabric Power BI semantic models via the MCP server ExecuteQuery tool. Use when the user already knows the DAX to write, wants to run EVALUATE statements, or needs to inspect model metadata (tables, columns, measures, relationships, hierarchie

• spark-consumption-cli

  Analyze lakehouse data interactively using Fabric Lakehouse Livy API sessions and PySpark/Spark SQL for advanced analytics, DataFrames, cross-lakehouse joins, Delta time-travel, and unstructured/JSON data. Use when the user explicitly asks for PySpark, Spark DataFrames, Livy sessions, or Python-base

• sqldb-consumption-cli

  Query SQL database in Fabric via sqlcmd: interactive exploration, vector similarity, JSON, temporal queries, and security policy inspection on the OLTP and SQL analytics endpoints. For schema changes see the sqldb-authoring-cli skill. Triggers: "sql database in Fabric query sys.tables sqlcmd", "sql

• sqldw-consumption-cli

  Execute read-only T-SQL queries against Fabric Data Warehouse, Lakehouse SQL Endpoints, and Mirrored Databases via CLI. Default skill for any lakehouse data query (row counts, SELECT, filtering, aggregation) unless the user explicitly requests PySpark or Spark DataFrames. Use when the user wants to:

Subagents (4)

• FabricAdmin

  Manage Microsoft Fabric operational excellence across capacity planning, governance, security, cost optimization, and observability. Use when the request involves workspace administration, capacity monitoring, access control, compliance policies, cross-workload operational concerns, or workspace doc

• FabricAppDev

  Build full-stack applications on top of Microsoft Fabric using Python, ODBC, XMLA, and REST APIs. Use when the request involves building applications connected to Fabric data. Delegates endpoint-specific implementation to specialized skills.

• FabricDataEngineer

  Orchestrate end-to-end Microsoft Fabric data engineering workflows that span multiple workloads and personas. Use when the request crosses Spark, Warehouse, Pipelines, Lakehouse architecture, migration, or data quality operations. Delegates deep single-endpoint implementation to specialized skills a

• FabricIQ

  Answer questions about Power BI artifacts — reports, and semantic models — by discovering artifacts, inspecting report metadata and semantic model schemas, resolving entity values, generating DAX queries, and executing them against the Fabric MCP endpoint. Use when the user asks data questions about

MCP servers (1)

• FabricIQ

  connects to: https://api.fabric.microsoft.com/v1/mcp/fabricaihub/integrations/m365

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