$ loading_
Execute KQL management commands (table management, ingestion, policies, functions, materialized views) against Fabric Eventhouse and KQL Databases via CLI. Use when the user wants to: 1. Create or alter KQL tables, columns, or functions 2. Ingest data into an Eventhouse (inline, from storage, streaming) 3. Configure retention, caching, or partitioning policies 4. Create or manage materialized views and update policies 5. Manage data mappings for ingestion pipelines 6. Deploy KQL schema via scripts Triggers: "create kql table", "kql ingestion", "ingest into eventhouse", "kql function", "materialized view", "kql retention policy", "eventhouse schema", "kql authoring", "create eventhouse table", "kql mapping"
Copy the install command and let the AI configure it · recommended for beginners
Please install the "eventhouse-authoring-cli" skill from askskill: 1. Download https://raw.githubusercontent.com/microsoft/skills-for-fabric/main/skills/eventhouse-authoring-cli/SKILL.md 2. Save it as ~/.claude/skills/eventhouse-authoring-cli/SKILL.md 3. Reload skills and tell me it's ready
Update Check — ONCE PER SESSION (mandatory) The first time this skill is used in a session, run the check-updates skill before proceeding.
- GitHub Copilot CLI / VS Code: invoke the
check-updatesskill.- Claude Code / Cowork / Cursor / Windsurf / Codex: compare local vs remote package.json version.
- Skip if the check was already performed earlier in this session.
CRITICAL NOTES
- To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering
- To find the item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace and, then, use JMESPath filtering
| Task | Reference | Notes |
|---|---|---|
| Finding Workspaces and Items in Fabric | COMMON-CLI.md § Finding Workspaces and Items in Fabric | Mandatory — READ link first [needed for workspace/item ID resolution] |
| Fabric Topology & Key Concepts | COMMON-CORE.md § Fabric Topology & Key Concepts | Hierarchy, Finding Things in Fabric |
| Environment URLs | COMMON-CORE.md § Environment URLs | KQL Cluster URI, KQL Ingestion URI |
| Authentication & Token Acquisition | COMMON-CORE.md § Authentication & Token Acquisition | Wrong audience = 401; KQL audience: kusto.kusto.windows.net |
| Core Control-Plane REST APIs | COMMON-CORE.md § Core Control-Plane REST APIs | List Workspaces, List Items, Item Creation |
| Pagination | COMMON-CORE.md § Pagination | |
| Long-Running Operations (LRO) | COMMON-CORE.md § Long-Running Operations (LRO) | |
| Rate Limiting & Throttling | COMMON-CORE.md § Rate Limiting & Throttling | |
| OneLake Data Access | COMMON-CORE.md § OneLake Data Access | Requires storage.azure.com token, not Fabric token |
| Job Execution | COMMON-CORE.md § Job Execution | |
| Capacity Management | COMMON-CORE.md § Capacity Management | |
| Gotchas & Troubleshooting | COMMON-CORE.md § Gotchas & Troubleshooting | |
| Best Practices | COMMON-CORE.md § Best Practices | |
| Tool Selection Rationale | COMMON-CLI.md § Tool Selection Rationale | |
| Authentication Recipes | COMMON-CLI.md § Authentication Recipes | az login flows and token acquisition |
Fabric Control-Plane API via az rest | COMMON-CLI.md § Fabric Control-Plane API via az rest | Always pass --resource https://api.fabric.microsoft.com or az rest fails |
| Pagination Pattern | COMMON-CLI.md § Pagination Pattern | |
| Long-Running Operations (LRO) Pattern | COMMON-CLI.md § Long-Running Operations (LRO) Pattern | |
OneLake Data Access via curl | COMMON-CLI.md § OneLake Data Access via curl | Use curl not az rest (different token audience) |
…
Build end-to-end Bronze, Silver, and Gold lakehouse pipelines in Microsoft Fabric.
Create, update, and publish Microsoft Fabric Eventstream topologies via REST APIs.
Migrate HDInsight Spark, Hive, and Oozie workloads to Microsoft Fabric.
Search Microsoft Fabric items across workspaces and return locations and IDs.
Create, edit, deploy, and optimize Power BI semantic models and DAX.
Scan, assess, and upgrade Power BI Gen1 dataflows into Gen2.1 copies.