347건 · 관련도순
查询 willcodexquotareset.com 的 Codex 配额重置预测，返回 forecast 中的重置概率（score 百分比）、距上次重置的天数与小时数、最近重置时间、是否已宣布重置和评分构成。当用户询问 Codex quota 是否会重置、重置概率、上次重置多久、Will Codex Quota Reset 网站预测或要求调用 /api/forecast 时使用；不用于查询用户个人账户的实际用量或官方配额余额。
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Provide real-time weather forecasts for any city worldwide. Use this skill whenever the user asks about weather, temperature, or climate conditions — including phrases like "weather in [city]", "what's the weather like", "weather forecast", "is it going to rain", "how hot is it", or any mention of checking current or upcoming weather conditions for a location. Also trigger when users ask about what to wear today, whether to bring an umbrella, or any question where weather data would help.
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Temporal pattern detection and forecasting. Use when analyzing trends over time, detecting seasonality, identifying anomalies in time series, or building simple forecasting models for planning.
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Weighted pipeline forecast by probability. Historical accuracy tracking, commit vs best-case scenarios, deal slippage patterns.
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Analyze pipeline health, identify stalled deals, predict close probability, and suggest actions to move deals forward. Improves forecast accuracy and prevents revenue leakage. Use when deals get stuck or forecast accuracy is poor.
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Build a 13-week rolling cash flow forecast from bank exports, AR aging, AP bills, payroll, and recurring commitments -- the report that tells a small business whether it survives the quarter. Flags the crunch weeks early enough to act.
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Forecast construction project cash flow. Project income and expenses, identify funding gaps, and optimize payment timing for improved financial management.
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Predict project completion dates using ML models. Forecast schedule delays based on current progress, historical patterns, and risk factors.
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Forecast project cash flow based on schedule and cost data. Generate S-curves and payment projections.
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Forecast inventory needs using demand analysis, safety stock calculations, reorder point optimization, and seasonal adjustment
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Calculate and model paid-media CPA, CPL, CPC, CPM, ROAS, MER, break-even targets, contribution margin, LTV:CAC, impression-share opportunity, budgets, forecasts, and experiment economics. Use for PPC math, ad calculator, break-even analysis, ROAS calculator, CPA calculator, budget forecast, LTV CAC, or MER.
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Get current weather conditions and forecasts for any location worldwide. Returns temperature, humidity, wind, precipitation, UV index, and multi-day forecasts. Useful for travel planning, event scheduling, and logistics coordination.
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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).
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Builds and backtests demand and revenue forecasts: rolling-origin backtests, prediction intervals, reconciliation, zero-shot foundation models. Use when forecasting time series.
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Superforecasting with calibrated reasoning, Brier score tracking, and prediction ledger management
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Evaluates demand forecasts for toll roads, airports, and ports with independent engineer review and scenario sensitivity analysis. Use when analyzing traffic studies, validating demand forecasts, or stress testing revenue projections.
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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.
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Report the weather forecast for a city, with its source.
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Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making. Use when analyzing financial statements, building valuation models, assessing budget variances, or constructing financial projections and forecasts. Also applicable when users mention financial modeling, cash flow analysis, company valuation, financial projections, or spreadsheet analysis.
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"Apply the Bass Diffusion Model (1969) to forecast innovation adoption using innovation and imitation coefficients. Use this skill when the user needs to forecast new product adoption curves, estimate market penetration timing, calibrate launch strategy based on diffusion dynamics, or when they ask 'how fast will this spread', 'when does adoption take off', or 'what is the expected S-curve'.".
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Use when a task needs the judgment of an atmospheric scientist/operational meteorologist — interpreting ensemble forecast guidance, deciding whether conditions cross a severe-weather warning threshold, calibrating a raw model probability against verification climatology, or writing a forecast discussion or warning product under time pressure.
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Use when Agentforce run costs are climbing, you need to forecast scale, or you want to reduce tokens per conversation without hurting quality. Covers topic (now subagent) design impact on cost, prompt/template reuse, grounding size discipline, caching, and model-tier selection. Triggers: 'agentforce cost', 'tokens per conversation too high', 'reduce agentforce runs spend', 'forecast agentforce scale cost', 'einstein trust layer tokens'. NOT for capping spend per user with a budget gate and fallback — use agentforce/agent-rate-limit-strategy. NOT for org-wide model-tier and BYOLLM platform strategy — use architect/ai-platform-architecture.
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Analyze energy load forecasting systems including demand prediction models (ARIMA, Prophet, LSTM), weather API integration, peak shaving strategies, demand response program optimization, renewable intermittency handling, net load duck curve management.
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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.
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