{"id":19232,"plugin_id":"plugins_6a92f40359bc81919e5b41b1451ec501","kind":"skill","collection_source":null,"comparison_source":null,"observed_at":"2026-09-30T23:15:24.103Z","digest":"0eb0a9f76c3f3950774930df89297cf55bc185d9880d258e0998f898e24e90a4","against":null,"payload":{"description":"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.","included_files":[{"relative_path":"agents/openai.yaml","size_in_bytes":131}],"name":"powerbi-revenue-rescue-mode","skill_md_contents":"---\r\nname: powerbi-revenue-rescue-mode\r\ndescription: 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.\r\n---\r\n\r\n# Power BI Revenue Rescue Mode\r\n\r\nUse this skill when the user asks how to close a forecast gap, secure the month, rescue revenue, or convert forecast findings into actions.\r\n\r\n## Workflow\r\n\r\n1. Identify the gap by month:\r\n   - budget gap\r\n   - roll gap\r\n   - prior-year gap\r\n   - AI forecast confidence\r\n2. Split the gap into action classes:\r\n   - **accelerate**: open backlog likely billable if delivery or admin blockers are solved\r\n   - **validate**: material customer/product deltas where human sales input is needed\r\n   - **recover**: segments below seasonal or roll expectation with enough history\r\n   - **substitute**: alternative products or customers can offset risk\r\n   - **de-risk**: low-confidence, biased, or sparse segments should not carry the plan\r\n3. Rank actions by expected impact, probability, owner, and deadline.\r\n4. Produce a rescue board that can be imported into Power BI or used as a sales operations action list.\r\n\r\n## Action scoring\r\n\r\nUse a simple score unless a better calibrated model exists:\r\n\r\n`impact_score = expected_revenue * confidence_weight * urgency_weight`\r\n\r\nConfidence weights:\r\n\r\n- high: 1.00\r\n- medium: 0.70\r\n- low: 0.35\r\n\r\nUrgency weights:\r\n\r\n- current month: 1.25\r\n- next month: 1.00\r\n- month +2: 0.80\r\n\r\n## Required outputs\r\n\r\n- `forecast_month`\r\n- `action_type`\r\n- `customer`\r\n- `product`\r\n- `expected_revenue_impact`\r\n- `probability`\r\n- `deadline`\r\n- `owner_hint`\r\n- `reason`\r\n- `next_action`\r\n- `risk_flag`\r\n\r\n## Guardrails\r\n\r\n- Never recommend actions on segments with no evidence unless marked as `exploratory`.\r\n- Distinguish revenue that can be pulled forward from revenue that requires new demand.\r\n- Flag actions that may improve revenue but harm margin, cash, or delivery reliability.\r\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}