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commands/ingest-pipeline.md
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commands/ingest-pipeline.md
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---
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name: ingest-pipeline
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description: Aggregates CRM/MAP data, cleans records, and prepares forecast-ready pipeline views.
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usage: /revenue-forecasting-pipeline:ingest-pipeline --timeframe "Q1" --segments "enterprise,mm" --detail full
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---
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# Command: ingest-pipeline
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## Inputs
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- **timeframe** – forecast period (Q1, Q2, FY, rolling-90).
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- **segments** – comma-separated list of segments or regions.
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- **detail** – summary | full output verbosity.
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- **filters** – optional stage, product, or owner filters.
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- **refresh** – optional flag to force data refresh vs cached snapshot.
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## Workflow
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1. **Data Extraction** – pull CRM opportunities, bookings actuals, MAP signals, and enrichment fields by timeframe.
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2. **Normalization & QA** – dedupe, enforce stage definitions, check close dates, align currencies, and flag missing data.
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3. **Scoring & Cohorting** – compute coverage, velocity, win rate assumptions, and stage-based risk scores.
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4. **Segmentation** – split pipeline by segment, region, product, partner, and channel.
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5. **Packaging** – output structured tables + dashboards for forecast architect + finance partner review.
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## Outputs
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- Pipeline dataset (CSV/Sheets) with commit/upside/sandbag buckets.
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- Data quality log detailing issues resolved or pending.
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- Snapshot summary (coverage %, attainment, risk flags) per segment.
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## Agent/Skill Invocations
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- `revops-analyst` – runs extraction + QA steps.
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- `forecast-modeling` skill – provides scoring templates and coverage math.
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- `variance-analysis` skill – tags known risk cohorts for later tracking.
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---
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commands/report-variance.md
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commands/report-variance.md
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---
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name: report-variance
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description: Produces variance analysis, executive-ready narratives, and mitigation requests.
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usage: /revenue-forecasting-pipeline:report-variance --timeframe Q1 --audience exec --window 30d
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---
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# Command: report-variance
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## Inputs
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- **timeframe** – reporting period.
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- **audience** – exec | board | functional for tone/format.
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- **window** – lookback window for variance drivers.
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- **dimensions** – optional breakdown (segment, product, geo, channel).
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- **include_actions** – boolean to append mitigation plan.
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## Workflow
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1. **Data Synthesis** – combine actuals, forecast, and budget targets for selected timeframe.
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2. **Variance Attribution** – isolate drivers (volume, conversion, price, mix, churn) with supporting data.
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3. **Narrative Building** – craft storyline, highlight risks/opportunities, and cite owner insights.
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4. **Action Planning** – enumerate remediation or acceleration plays with due dates and impact estimates.
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5. **Distribution** – package slides/memos plus dashboard links for audience-specific channels.
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## Outputs
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- Variance table (actual vs forecast/budget) with driver notes.
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- Executive brief or board memo ready for delivery.
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- Action tracker summarizing owners, mitigation steps, and status.
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## Agent/Skill Invocations
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- `finance-partner` – prepares executive narrative and approvals.
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- `variance-analysis` skill – ensures methodical attribution.
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- `executive-briefs` skill – formats outputs for audience expectations.
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---
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commands/run-forecast.md
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commands/run-forecast.md
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---
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name: run-forecast
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description: Generates revenue forecast scenarios, compares to targets, and highlights risks/opportunities.
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usage: /revenue-forecasting-pipeline:run-forecast --timeframe Q1 --scenario base --confidence 0.8
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---
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# Command: run-forecast
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## Inputs
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- **timeframe** – period to forecast (Q1, Q2, FY, rolling-90).
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- **scenario** – base | upside | downside | custom.
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- **confidence** – numeric (0-1) to tune risk weighting.
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- **drivers** – optional overrides for win rates, ASP, capacity, churn, expansion.
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- **notes** – optional context for scenario assumptions.
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## Workflow
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1. **Input Gathering** – pull pipeline snapshot, bookings actuals, macro assumptions, and overrides.
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2. **Driver Application** – adjust conversion rates, stage weightings, and coverage multipliers per scenario.
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3. **Model Execution** – compute bookings forecast, ARR impact, cash flow pacing, and contribution by segment.
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4. **Variance Comparison** – benchmark vs targets, prior forecast, and budget.
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5. **Insights & Actions** – flag risk areas, required pipeline creation, and mitigation plays.
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## Outputs
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- Scenario forecast table (segment → commit/upside/downside → delta vs goal).
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- Driver sheet summarizing assumptions and overrides.
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- Action plan for pipeline creation or acceleration.
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## Agent/Skill Invocations
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- `forecast-architect` – owns methodology and interpretation.
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- `forecast-modeling` skill – provides model templates + sensitivity analysis.
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- `revops-analyst` – validates inputs and risk tags.
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---
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