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Power BI Desktop

ChatGPT plugin

Build trusted Power BI models

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Movement

From our daily snapshots over the last 30 days.

Rank by placement

#3160of 6,0221,559places up24h—7d
#2,936#3,609#4,282#4,955Sep 13Sep 19Sep 25Oct 1Oct 7Oct 12

Rank in Productivity

#599of 1,371343places up24h—7d
#546#707#868#1,029Sep 13Sep 19Sep 25Oct 1Oct 7Oct 12

In its category

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
#PluginPosition7d
596No AI Slop#3153—
597Slop Curator#3154—
598Novelist#3156—
599Power BI DesktopThis page#3160—
600Giraffe#3161102places up
601Presenton#3163—
602Prompt Optimizer#3167—

All 1,371 Productivity plugins

More from Reiner Weisssieker

All listings by Reiner Weisssieker

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 16
  • 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