Trace relationships between semantic models and downstream reports across Fabric workspaces. Automatically invoke when the user asks to "find downstream reports", "show report lineage", "impact analysis", "what depends on this dataset", "cross-workspace lineage", "which reports are connected", "get model dependencies", or mentions model-to-report dependency tracing.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Trace downstream dependencies from a semantic model to all connected reports across the tenant. No admin permissions required -- workspace contributor access is sufficient.
Run scripts/get-downstream-reports.py to find all reports bound to a semantic model.
# By workspace and model name
python3 scripts/get-downstream-reports.py "Workspace Name" "Model Name"
# By dataset GUID directly
python3 scripts/get-downstream-reports.py --dataset-id <guid>
# JSON output for further processing
python3 scripts/get-downstream-reports.py "Workspace" "Model" --json
Requirements: azure-identity, requests (pip install azure-identity requests). Authenticated via DefaultAzureCredential (works with az login, managed identity, or environment variables).
How it works: Lists all workspaces the user can access, then queries each workspace's reports in parallel (8 workers) checking datasetId. Groups results by workspace. Typically completes in under 10 seconds for ~100 workspaces.
Permissions: Workspace contributor or higher on any workspace to be scanned. Reports in workspaces without access will not appear. For full tenant coverage, use the --dataset-id flag with a tenant admin token and the admin/reports API instead.
Reports are not the only consumers. A semantic model can also be consumed by:
The script only discovers Power BI reports. For full dependency mapping including these other item types, use the Fabric lineage APIs (fab api "admin/groups/{id}/lineage") or the lineage view in the Power BI service UI.
Not appropriate for many models at once. The script scans all accessible workspaces per invocation. Running it in a loop over dozens of semantic models will generate excessive API calls and risk throttling. For bulk inventory across many models, use the admin scan API (fab api "admin/workspaces/getInfo") when tenant-admin access is available, or the cross-workspace catalog via fab find ... -P type=SemanticModel for a quick non-admin list. Neither alternative resolves report-to-model dependency edges; fab find and the OneLake catalog do not expose lineage. For that you still need either a per-workspace scan (this script's approach) or the official Power BI lineage admin API at fab api "admin/groups/{ws-id}/lineage".
| Field | Meaning |
|---|---|
Report format PBIR | Modern format, editable as JSON |
Report format PBIRLegacy | Legacy format, needs conversion to PBIR for direct editing |
| Reports in unexpected workspaces | May indicate copies, forks, or thin reports pointing at a shared model |
| Many downstream reports | High-impact model -- changes require coordination |
semantic-model -- Design, build, refresh, and review models (quality, memory, DAX, design)refreshing-semantic-model -- Trigger and monitor model refreshesfabric-cli (fabric-cli plugin) -- Workspace and item management via fab CLIまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Automatically invoke this skill whenever the user asks about Fabric tenant settings or Power BI tenant settings or auditing tenant settings. You can use this skill if the user mentions "Fabric administration".
日本語の概要は準備中です。原文の説明を表示しています。
Interactive BPA rule generation for Power BI semantic models; guided discovery, model investigation, and expert rule authoring. Automatically invoke when the user mentions "BPA rule", "Best Practice Analyzer", or asks to "create a BPA rule", "audit BPA rules", "recommend BPA rules", "set up BPA for my team", "check model for best practices", "validate BPA rules", "improve a BPA expression".
日本語の概要は準備中です。原文の説明を表示しています。
Writing and executing C# scripts and macros against Power BI semantic models using Tabular Editor 2/3. Automatically invoke when the user mentions "C# script", "Tabular Editor script", "TOM scripting", "MacroActions.json", "XMLA", or asks to "automate model changes", "bulk update measures", "create calculation groups", "write a macro", "format DAX expressions", "manage model metadata".
日本語の概要は準備中です。原文の説明を表示しています。
TOM and ADOMD.NET guidance via PowerShell for connecting to Power BI Desktop's local Analysis Services instance. Covers model enumeration, DAX queries, metadata modification, annotations, calendar definitions, field parameters, query tracing, DAX library package management (daxlib.org), and the Desktop Bridge for reloading and screenshotting the report canvas. Automatically invoke when the user mentions "Power BI Desktop", "Analysis Services port", "TOM", "ADOMD", "daxlib", "DAX library", "DAX UDF package", or asks to "connect to PBI Desktop", "query PBI Desktop with DAX", "modify PBI Desktop model", "add a measure to PBI", "capture visual queries", "create a field parameter", "validate DAX", "intercept DAX queries", "install daxlib", "add DAX SVG", "add IBCS", "reload the report canvas", "screenshot a report page", "Desktop Bridge", or to work with the model and report in Power BI Desktop together.
日本語の概要は準備中です。原文の説明を表示しています。
Step-by-step workflow for creating complete Power BI reports from scratch using pbir CLI. Covers model discovery, report creation, page layout, theme setup, visual placement, field binding, filtering, formatting, validation, and publishing. Automatically invoke when the user asks to "create a new report", "build a report from scratch", "make a dashboard", "set up a report with KPIs", "create an executive dashboard", "add pages and visuals to a new report".
日本語の概要は準備中です。原文の説明を表示しています。
DAX performance optimization for semantic models. Automatically invoke when the user asks to "optimize DAX", "fix slow DAX", "DAX performance", "tune a measure", "debug a measure", "DAX anti-patterns", or mentions slow queries, server timings, or DAX authoring.
日本語の概要は準備中です。原文の説明を表示しています。