Results for “forecasting”

Computes a numeric or categorical answer to a quantitative data-science question by cleaning and analyzing local data files (CSV, Excel, TSV, and scientific formats .npz/.fits/.h5) with pandas, numpy, and scipy. Use whenever a task ships its own dataset (in whatever local directory it provides) and asks you to derive a value via statistical, geospatial, temporal, ratio, percentage, growth-rate, correlation, signal-processing, orbital, or forecasting analysis. Spans domains including archeology (demographics, paleoclimate proxies, radiocarbon dating, historical conflicts); biomedical/bioinformatics (tumor histology, genes, proteins, peptides, genomic variants); environmental (water quality, bacterial/Enterococcus exceedance, rainfall correlations, environmental justice); legal/consumer (fraud, identity theft, consumer complaints by state/metro); wildfire (incidents, causes, suppression costs, acres burned, fatalities, geospatial intersections); and astronomy/heliophysics/space weather (satellite telemetry TLE/Swarm/SP3, indices OMNI/GOES, solar activity, atmospheric density, orbital mechanics, forecasting).

The English summary is being prepared. Showing the original description.

Superforecasting with calibrated reasoning, Brier score tracking, and prediction ledger management

The English summary is being prepared. Showing the original description.

Build a forecasting model for a time series — demand, revenue, or usage prediction. Use when asked to "forecast demand", "predict next quarter revenue", or "build a time series model".

The English summary is being prepared. Showing the original description.

Perform capacity planning using historical metrics and growth models. Use predict_linear for forecasting, identify resource constraints, calculate headroom, and recommend scaling actions before saturation. Use before seasonal traffic spikes or product launches, during quarterly capacity reviews, when resource utilization trends upward, or before budget planning cycles.

The English summary is being prepared. Showing the original description.

Forecast infrastructure and application metrics using Prophet or statsmodels for capacity planning, cost optimization, and proactive scaling. Visualize predictions in Grafana and set up alerts for projected resource exhaustion. Use when forecasting infrastructure capacity needs for CPU, memory, or disk, planning hardware procurement for next quarter, predicting cost trends to optimize cloud spending, or setting up proactive scaling policies based on predicted load.

The English summary is being prepared. Showing the original description.

"Build forecasting models with Meta's Prophet for business time series with holidays and changepoints. Use this skill when the user needs user-friendly time series forecasting, handling of missing data and holidays, or automatic changepoint detection — even if they say 'forecast with Prophet', 'business forecast', or 'easy time series model'.".

The English summary is being prepared. Showing the original description.

"Apply exponential smoothing methods for time series forecasting with weighted moving averages. Use this skill when the user needs simple, robust forecasts, implement Holt-Winters for seasonal data, or build lightweight forecasting without complex models — even if they say 'simple forecast', 'moving average prediction', or 'smoothing method'.".

The English summary is being prepared. Showing the original description.

"Combine multiple forecasting models into ensemble predictions for improved accuracy. Use this skill when the user needs to improve forecast reliability, combine ARIMA/Prophet/ETS outputs, or build a robust forecasting pipeline — even if they say 'combine forecasts', 'model averaging', or 'which forecast should I trust'.".

The English summary is being prepared. Showing the original description.

Analyze material forecasting and requirements planning systems including MRP/MRP II logic evaluation, BOM explosion accuracy, supplier lead time variability tracking, seasonal demand pattern detection, fabric yield and marker efficiency optimization, MOQ aggregation strategies.

The English summary is being prepared. Showing the original description.

Analyze demand forecasting systems — time-series decomposition (ARIMA, Prophet, ETS), seasonal and event-driven demand modeling, booking curve and pickup analysis, cancellation prediction, forecast accuracy metrics (MAPE, bias), and model retraining pipelines.

The English summary is being prepared. Showing the original description.

Configuring Salesforce opportunity management: sales stages, sales processes, opportunity record types, Path configuration, opportunity teams, opportunity splits, and forecasting categories. Use when setting up or restructuring the opportunity lifecycle for Sales Cloud. NOT for forecast types, rollup methods, quotas or manager adjustments — use admin/collaborative-forecasts. NOT for agreeing what the stages and exit criteria should be before any build — use admin/sales-process-mapping. NOT for CPQ pricing or product configuration. Keywords: BusinessProcess, sales process, OpportunityStage, ForecastCategoryName, PathAssistant, OpportunitySplit, OpportunitySplitType, OpportunityTeamMember, Opportunity.settings, enableOpportunityTeam, IsClosed, IsWon, IsPrivate.

The English summary is being prepared. Showing the original description.

Expert en budgétisation et prévisions (FP&A, variance analysis, rolling forecasts, DZ)

The English summary is being prepared. Showing the original description.

Complete B2B sales system — from ICP to closed-won. Discovery frameworks, objection handling, pipeline management, forecasting, and deal acceleration. Works for any B2B company.

The English summary is being prepared. Showing the original description.

Weekly pipeline health analysis with velocity metrics, stage distribution, forecasting, and actionable recommendations

The English summary is being prepared. Showing the original description.

Retrieve World Monitor forecasts to review scenario probabilities, changes, and supporting signals by region or topic. Check forecast accuracy records with their audit status, and distinguish unavailable data from an absence of forecasted risks.

• Review conflict forecasts for a specific region
• Check changes in scenario probabilities
• Inspect signals behind a forecast

Analyze scheduled token releases, their recipients, and trading volume to estimate potential selling pressure. Review project treasury holdings, operating runway, and token supply growth to assess funding sustainability and the effect of dilution on staking yields.

• Reviewing token releases scheduled for the next 90 days
• Estimating selling pressure relative to trading volume
• Assessing treasury diversification and funding runway

Organizes central bank policy, exchange rates, geopolitical risks, and capital flows into scored factors. Produces a structured macro report to support research into allocations across stocks, gold, and US Treasuries.

• Building a macro dashboard for allocation research
• Comparing monetary policy and currency pressures
• Reviewing geopolitical risks and capital flows

Analyze business data, test hypotheses, and build predictive models with statistical and machine learning methods. Get support across data exploration, experiment design, visualization, result validation, and planning model deployment and monitoring.

• Analyzing customer churn and predicting customers at risk
• Designing an A/B test and evaluating its results
• Forecasting demand for inventory planning

Prepare for payroll by forecasting cash, drafting overdue invoice reminders to address shortfalls, and checking timesheets for anomalies. Produce a validated payroll worksheet or stage approved inputs in Gusto, leaving final payroll submission to the owner.

• Checking whether cash will cover the next payroll
• Prioritizing overdue invoices to address a payroll shortfall
• Reviewing timesheet anomalies before payroll

Analyze team workloads, available hours, and upcoming demand to build a resource capacity plan. Identify staffing gaps and bottlenecks, then compare hiring, contracting, reprioritizing, or delaying work within budget and schedule constraints.

• Quarterly staffing and workload planning
• Checking workload imbalances across team members
• Comparing hiring with project reprioritization

Build three-tier bookings forecasts from sales opportunities and historical conversion data. Project recurring revenue by customer cohort, assess the reliability of each sales stage, and present forecast numbers alongside their assumptions.

• Preparing a quarterly bookings forecast for the board
• Projecting annual recurring revenue for the next 4–8 quarters
• Finding customer cohorts with declining revenue retention

Plan revenue growth for B2B SaaS businesses by analyzing sales opportunities, pricing, customer retention, and sales capacity. Develop scenario forecasts, churn intervention plans, hiring models, and revenue reporting for board discussions.

• Forecast next quarter’s revenue
• Analyze churn and expansion revenue
• Review pricing and packaging

Set up application monitoring with structured logs, performance metrics, and traces that follow requests across services. Build dashboards and alerts, run load tests, investigate CPU and memory bottlenecks, and estimate future infrastructure capacity.

• Set up application dashboards and alerts
• Investigate production issues using logs, metrics, and traces
• Run load tests before traffic increases

Create and manage prediction markets on Solana, where participants trade YES or NO outcome tokens. Support includes direct peer bets, social media metrics, custom result authorities, market settlement, and redemption of winning positions.

• Create a prediction market around social media metrics
• Build direct peer-to-peer betting markets
• Let an AI agent determine market outcomes