القائمة
Use when the user asks for Expert Mode, senior Power BI engineering, deep model/report/DAX/M review, precise control, or developer-facing Power BI delivery with explicit technical evidence.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Use when Power BI tenant administration needs Admin API playbooks for workspace inventory, usage metrics, refresh failures, endorsements, sensitivity labels, sharing risk, gateways, and capacity.
Coordinate virtual Power BI expert roles such as BI Architect, DAX Expert, Power Query Engineer, Fabric Architect, Finance BI Lead, QA Reviewer, Security Reviewer, and CoE Lead. Use to replace manual expert routing with role-based analysis and deliverables.
Use when DAX measures require executable or semi-executable unit tests, query-based assertions, XMLA or Tabular Editor validation, edge cases, totals, RLS contexts, and reconciliation evidence.
Use when Power BI work needs PBIP, Git, deployment pipelines, semantic model versioning, Tabular Editor, DAX checks, regression tests, release gates, workspace promotion, or CI/CD governance.
Use when the user asks for Generalisten Mode, Prozess Manager mode, Process Owner mode, autonomous BI delivery, or wants the plugin to handle Power BI work end-to-end without requiring expert knowledge.
Classify Power BI requests and route them to the right delivery path. Use when a request may involve data sources, semantic models, DAX, UX, governance, performance, migration, Fabric architecture, portfolio cleanup, or business problem design.
| name | powerbi-expert-mode |
| description | Use when the user asks for Expert Mode, senior Power BI engineering, deep model/report/DAX/M review, precise control, or developer-facing Power BI delivery with explicit technical evidence. |
Use Expert Mode for Power BI developers, BI CoE members, semantic modelers, DAX experts, Fabric architects, admins, and reviewers who want technical control and evidence.
Use the executable path that matches the expert task:
python scripts\powerbi_expert_factory.py report-package --process <process-id> --sources "<source description>" --goal "<report goal>" --out outputs\report-packages\<process-id>
python scripts\powerbi_expert_factory.py pbix-intake --file <file.pbix> --out outputs\runtime-executors\pbix-intake.json
python scripts\powerbi_expert_factory.py tenant-scan-request --tenant <tenant-id> --workspace <workspace-id> --out outputs\runtime-executors\tenant-scan-request.json
python scripts\powerbi_expert_factory.py dax-query-request --workspace <workspace-id> --dataset <dataset-id> --query "EVALUATE ROW(\"Cases\", [Case Count])" --out outputs\runtime-executors\dax-query-request.json
python scripts\powerbi_expert_factory.py rest-deploy-request --workspace <workspace-id> --artifact <pbip-or-report-package-path> --operation import --operation refresh --out outputs\runtime-executors\rest-deploy-request.json
python scripts\powerbi_expert_factory.py gateway-audit-request --gateway <gateway-id> --datasource <datasource-id> --out outputs\runtime-executors\gateway-audit-request.json
python scripts\powerbi_expert_factory.py tenant-scan-run --tenant <tenant-id> --workspace <workspace-id> --out outputs\runtime-executors\tenant-scan-run.json
python scripts\powerbi_expert_factory.py dax-query-run --workspace <workspace-id> --dataset <dataset-id> --query "EVALUATE ROW(\"Cases\", [Case Count])" --out outputs\runtime-executors\dax-query-run.json
python scripts\powerbi_expert_factory.py rest-deploy-run --workspace <workspace-id> --artifact <pbip-or-report-package-path> --operation import --operation refresh --out outputs\runtime-executors\rest-deploy-run.json
python scripts\powerbi_expert_factory.py gateway-audit-run --gateway <gateway-id> --datasource <datasource-id> --out outputs\runtime-executors\gateway-audit-run.json