Power BI Desktop
ChatGPT pluginBuild trusted Power BI models
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Movement
From our daily snapshots over the last 30 days.
Rank by placement
Rank in Productivity
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How this plugin compares with others in the same category. Positions are counted within the category, not across the whole directory.
Productivity599th of 1,371 by placement
| # | Plugin | Position | 7d |
|---|---|---|---|
| 596 | #3153 | — | |
| 597 | #3154 | — | |
| 598 | #3156 | — | |
| 599 | #3160 | — | |
| 600 | #3161 | 102places up | |
| 601 | #3163 | — | |
| 602 | #3167 | — |
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3 more on the publisher’s page.
Start with one outcome: build a model from data sources, trust KPIs, change PBIP safely, release with confidence, operate Fabric, or govern decisions. The plugin routes to a focused workflow and keeps PBIX binaries untouched. Live and Fabric access are read-only by default.
Example prompts
- “What can you do with this Power BI plugin?”
- “Build a Power BI model from these data sources.”
- “Can I trust this report for a decision?”
Skills
powerbi-autonomous-exception-management
Use when turning autonomous Power BI planning deviations into managed exceptions, including revenue gaps, risky backlog, unrealistic targets, biased models, sparse segments, owner hints, status, escalation, and closure evidence.
powerbi-autonomous-forecast-agents
Use when coordinating multiple AI forecasting perspectives for Power BI sales forecasts, including backlog, seasonality, budget, sales skepticism, risk, consensus, dissent, and explainable forecast arbitration.
powerbi-autonomous-planning-loop
Use when building or running a closed-loop autonomous Power BI planning cycle that refreshes actuals, forecast, gap detection, scenarios, actions, tracking, learning, and the next plan without changing PBIX files directly.
powerbi-causal-counterfactual-forecasting
Use when adding causal and counterfactual thinking to Power BI sales forecasts, including working days, holidays, delivery constraints, price changes, product lifecycle, stockouts, campaigns, customer behavior, and best/base/worst case simulations.
powerbi-constraint-aware-planning
Use when constraining Power BI revenue planning by delivery, capacity, stock, supply, margin, cash, payment terms, sales resources, or operational feasibility rather than forecasting unconstrained demand only.
powerbi-desktop
Use when building Power BI models, trusting KPIs, changing PBIP safely, releasing, operating Fabric, or governing decisions.
powerbi-fabric-nextgen-usps
Use when a Power BI or Fabric team needs FinOps, Copilot answer regression, Direct Lake readiness, data-product SLOs, capacity change proof, or executive decision traces.
powerbi-forecast-trust-market
Use when designing or evaluating a Power BI forecast trust market, human override tracking, sales and finance confidence scoring, forecast accountability, and self-learning model-vs-human accuracy loops.
powerbi-forecast-war-room
Use when building a Power BI forecast war room or control tower for executive revenue review, forecast risk triage, top deltas, action ownership, gap closure status, confidence monitoring, and daily forecast operating rhythm.
powerbi-goal-seeking-planning
Use when calculating what must happen to reach Power BI revenue, budget, roll, margin, cash, or service targets, including reverse planning, target-gap decomposition, required backlog conversion, and required demand uplift.
powerbi-model-wizard
Use when starting a new Power BI model from a business goal, source list, star schema, KPI plan, security plan, and report-page plan.
powerbi-planning-memory
Use when storing and reusing Power BI planning memory across cycles, including forecast versions, assumptions, actions, overrides, actuals, error causes, segment lessons, and durable learning signals for autonomous planning.
Show all 16Show fewer
powerbi-planning-readiness-score
Use when scoring whether a Power BI model and forecast pipeline are ready for autonomous planning, including data quality, backlog snapshots, order-to-invoice matching, model accuracy, bias, granularity, constraints, overrides, and action tracking.
powerbi-revenue-digital-twin
Use when designing or running a Power BI revenue digital twin for sales forecasting, target-gap simulation, backlog-to-invoice scenarios, what-if revenue paths, budget attainment, and forecast-to-cash decision support from an open Power BI Desktop model or exported forecast CSVs.
powerbi-revenue-rescue-mode
Use when turning Power BI sales forecast gaps into operational rescue actions, including backlog acceleration, customer activation, product substitution, delivery escalation, gap closure ranking, and forecast-to-action recommendations.
powerbi-self-healing-forecast-governance
Use when Power BI forecast governance should automatically demote biased models, choose safer baselines, trigger data-quality blockers, adjust trust status, and protect planning from low-quality autonomous recommendations.
- Categories
- Made by
- Reiner Weisssieker · Website
- Sign-in
- On Install
- Capabilities
- Local model review, KPI trust and executive briefs, DAX and Power Query analysis, PBIP/TMDL safe drafts, Semantic tests and impact analysis, Release gates and rollback guidance, Live Desktop read-only review, Decision intelligence and Fabric operations
- Availability
- Available
- Version
- 3.0.0+codex.20260829143201
- Keywords
- power-bi, pbip, dax, power-query, semantic-model, fabric
- Created
- August 29, 2026
- More info