Use when learning which Power BI-generated actions actually improved KPIs, closed exceptions, created ROI, or should change future recommendations.
EnglishUse when Power BI issues need AI-generated remediation plans for refresh failures, DAX bugs, model defects, RLS gaps, performance problems, source drift, or documentation failures.
EnglishUse when determining whether a Power BI semantic model, report, data product, or process pack is ready for endorsement, promotion, certification, or production release.
EnglishUse when AI/KI should explain the business and technical impact of changing fields, measures, source objects, RLS rules, semantic models, reports, or certified data products.
EnglishUse when Power BI reports, semantic models, AI outputs, sharing, exports, RLS, labels, PII, SOX, GDPR, audit evidence, or governance policies need AI-assisted compliance review.
EnglishUse when AI/KI should route Power BI work across virtual agents, expert roles, source systems, semantic modelling, DAX, reports, quality gates, governance, and evidence checks.
EnglishUse when Power BI and Fabric costs must be compared with usage, business value, refresh load, capacity pressure, storage mode, and consolidation opportunities.
EnglishUse when a Power BI data product must pass end-to-end certification across KPI contracts, semantic model, DAX, M, RLS/OLS, refresh, UX, owner acceptance, release evidence, and CoE decision.
EnglishUse when Power BI KPIs, reports, close packages, monthly reviews, board packs, or process cockpits need AI-generated management narratives grounded in evidence.
EnglishUse when Power BI exceptions, KPI breaches, anomalies, overdue items, or process bottlenecks should become prioritized business actions with owner, due date, impact, and retest condition.
EnglishUse when KPI exceptions, anomalies, delays, risks, or threshold breaches must be converted into prioritized actions with owner, cause, impact, due date, and retest condition.
EnglishUse when AI/KI answers about Power BI, KPIs, DAX, source systems, reports, or process causes must be checked against metadata, KPI catalogs, tests, source totals, or accepted evidence.
EnglishUse when creating, browsing, reusing, governing, or certifying an internal marketplace of Power BI KPI contracts with definitions, owners, DAX, sources, tests, and variants.
EnglishUse when Power BI needs AI-assisted KPI discovery from process data, source metadata, report portfolios, event logs, operational exceptions, or business questions.
EnglishUse when Power BI models have duplicated, near-duplicate, conflicting, unused, local, or uncertified DAX measures that need consolidation.
EnglishUse when migrating Excel, Access, Tableau, Qlik, SSRS, legacy PBIX, manual reports, or old semantic models into governed Power BI data products.
EnglishUse when producing release evidence for Power BI artifacts, including change summary, model diff, DAX changes, M changes, screenshots, tests, risks, rollback, and owner sign-off.
EnglishUse when building Power BI process digital twins for bottlenecks, what-if scenarios, capacity, delivery delay, cash impact, inventory, escalations, and process improvement simulation.
EnglishUse when generating reusable Power BI process packs such as O2C, P2P, R2R, Plan2Produce, Dock2Stock, Complaint2CAPA, Maintain2Operate, or Control2Evidence.
EnglishUse when regulated BI artifacts need audit evidence for KPI changes, source lineage, tests, approvals, AI recommendations, human confirmation, SOX, GxP, ISO, GDPR, or similar controls.
EnglishUse when consolidating duplicate Power BI reports, finding retirement candidates, identifying target semantic models, and planning migration away from report sprawl.
EnglishUse when AI/KI should autonomously investigate root causes by generating hypotheses, checking evidence, seeking counterexamples, ranking explanations, and producing evidence-backed conclusions.
EnglishUse when two Power BI semantic model versions must be compared for breaking changes in TMDL, measures, columns, relationships, RLS/OLS, display metadata, or report impact.
EnglishUse when business terms must be mapped to Power BI source systems, tables, APIs, CDS views, fields, semantic model objects, and validation evidence.
EnglishIncludes Powerbi AI Action Effectiveness Learning, Powerbi AI Autonomous Remediation Agent, Powerbi AI Certification Readiness Bot, and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Powerbi AI Action Effectiveness Learning
Use when learning which Power BI-generated actions actually improved KPIs, closed exceptions, created ROI, or should change future recommendations.
Powerbi AI Autonomous Remediation Agent
Use when Power BI issues need AI-generated remediation plans for refresh failures, DAX bugs, model defects, RLS gaps, performance problems, source drift, or documentation failures.
Powerbi AI Certification Readiness Bot
Use when determining whether a Power BI semantic model, report, data product, or process pack is ready for endorsement, promotion, certification, or production release.
Powerbi AI Change Impact Explainer
Use when AI/KI should explain the business and technical impact of changing fields, measures, source objects, RLS rules, semantic models, reports, or certified data products.
Powerbi AI Compliance Reviewer
Use when Power BI reports, semantic models, AI outputs, sharing, exports, RLS, labels, PII, SOX, GDPR, audit evidence, or governance policies need AI-assisted compliance review.
Powerbi AI Copilot Orchestrator
Use when AI/KI should route Power BI work across virtual agents, expert roles, source systems, semantic modelling, DAX, reports, quality gates, governance, and evidence checks.
Powerbi AI Cost to Value Optimizer
Use when Power BI and Fabric costs must be compared with usage, business value, refresh load, capacity pressure, storage mode, and consolidation opportunities.
Powerbi AI Data Product Certification Pipeline
Use when a Power BI data product must pass end-to-end certification across KPI contracts, semantic model, DAX, M, RLS/OLS, refresh, UX, owner acceptance, release evidence, and CoE decision.
Powerbi AI Data Story Generator
Use when Power BI KPIs, reports, close packages, monthly reviews, board packs, or process cockpits need AI-generated management narratives grounded in evidence.
Powerbi AI Exception to Action Agent
Use when Power BI exceptions, KPI breaches, anomalies, overdue items, or process bottlenecks should become prioritized business actions with owner, due date, impact, and retest condition.
Powerbi AI Exception to Action Workflow
Use when KPI exceptions, anomalies, delays, risks, or threshold breaches must be converted into prioritized actions with owner, cause, impact, due date, and retest condition.
Powerbi AI Hallucination Guard
Use when AI/KI answers about Power BI, KPIs, DAX, source systems, reports, or process causes must be checked against metadata, KPI catalogs, tests, source totals, or accepted evidence.
Powerbi AI Kpi Contract Marketplace
Use when creating, browsing, reusing, governing, or certifying an internal marketplace of Power BI KPI contracts with definitions, owners, DAX, sources, tests, and variants.
Powerbi AI Kpi Discovery Agent
Use when Power BI needs AI-assisted KPI discovery from process data, source metadata, report portfolios, event logs, operational exceptions, or business questions.
Powerbi AI Measure Deduplication Agent
Use when Power BI models have duplicated, near-duplicate, conflicting, unused, local, or uncertified DAX measures that need consolidation.
Powerbi AI Migration Autopilot
Use when migrating Excel, Access, Tableau, Qlik, SSRS, legacy PBIX, manual reports, or old semantic models into governed Power BI data products.
Powerbi AI Powerbi Release Evidence Pack
Use when producing release evidence for Power BI artifacts, including change summary, model diff, DAX changes, M changes, screenshots, tests, risks, rollback, and owner sign-off.
Powerbi AI Process Digital Twin Powerbi
Use when building Power BI process digital twins for bottlenecks, what-if scenarios, capacity, delivery delay, cash impact, inventory, escalations, and process improvement simulation.
Powerbi AI Process Pack Generator
Use when generating reusable Power BI process packs such as O2C, P2P, R2R, Plan2Produce, Dock2Stock, Complaint2CAPA, Maintain2Operate, or Control2Evidence.
Powerbi AI Regulated Bi Evidence Vault
Use when regulated BI artifacts need audit evidence for KPI changes, source lineage, tests, approvals, AI recommendations, human confirmation, SOX, GxP, ISO, GDPR, or similar controls.
Powerbi AI Report Consolidation Retirement Autopilot
Use when consolidating duplicate Power BI reports, finding retirement candidates, identifying target semantic models, and planning migration away from report sprawl.
Powerbi AI Root Cause Investigator
Use when AI/KI should autonomously investigate root causes by generating hypotheses, checking evidence, seeking counterexamples, ranking explanations, and producing evidence-backed conclusions.
Powerbi AI Semantic Model Diff Regression
Use when two Power BI semantic model versions must be compared for breaking changes in TMDL, measures, columns, relationships, RLS/OLS, display metadata, or report impact.
Powerbi AI Source Mapping Agent
Use when business terms must be mapped to Power BI source systems, tables, APIs, CDS views, fields, semantic model objects, and validation evidence.
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After installation, start with a request like:
Use the Powerbi AI Action Effectiveness Learning skill to help with my task.
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- Reported license for the skills shown: MIT. The author’s terms apply.