Update to Power BI Desktop

{
  "description": "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.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 144
    }
  ],
  "name": "powerbi-planning-readiness-score",
  "skill_md_contents": "---\r\nname: powerbi-planning-readiness-score\r\ndescription: 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.\r\n---\r\n\r\n# Power BI Planning Readiness Score\r\n\r\nUse this skill before allowing autonomous planning to drive decisions.\r\n\r\n## Score dimensions\r\n\r\n- data completeness\r\n- order-to-invoice matching\r\n- backlog snapshot availability\r\n- forecast backtest quality\r\n- bias control\r\n- grain coverage\r\n- constraint coverage\r\n- human override tracking\r\n- action tracking\r\n- planning memory\r\n\r\n## Workflow\r\n\r\n1. Inspect available model fields, forecast CSVs, quality outputs, and memory/action files.\r\n2. Score each dimension from 0 to 100.\r\n3. Assign overall readiness:\r\n   - `manual_only`: 0-39\r\n   - `assisted`: 40-59\r\n   - `controlled_autonomy`: 60-79\r\n   - `autonomous_ready`: 80-100\r\n4. List blockers and the next highest-leverage improvement.\r\n\r\n## Required outputs\r\n\r\n- `dimension`\r\n- `score`\r\n- `status`\r\n- `evidence`\r\n- `blocker`\r\n- `recommended_next_step`\r\n\r\n## Guardrails\r\n\r\n- Do not mark autonomous-ready without historical backtests and snapshot coverage.\r\n- Penalize missing constraints even when the revenue forecast looks accurate.\r\n"
}