forecasting AI Agent Skills
Browse 77 skills related to forecasting
aeon
davila7This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
timesfm-forecasting
K-Dense-AIZero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Automatically checks system RAM/GPU before loading the model, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model. For classical statistical time series models (ARIMA, SARIMAX, VAR) use statsmodels; for time series classification/clustering use aeon.
fred-economic-data
K-Dense-AIQuery FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources. Access GDP, unemployment, inflation, interest rates, exchange rates, housing, and regional data. Use for macroeconomic analysis, financial research, policy studies, economic forecasting, and academic research requiring U.S. and international economic indicators.
aeon
K-Dense-AIThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
forecasting-time-series-data
jeremylongshoreThis skill enables Claude to forecast future values based on historical time series data. It analyzes time-dependent data to identify trends, seasonality, and other patterns. Use this skill when the user asks to predict future values of a time series, analyze trends in data over time, or requires insights into time-dependent data. Trigger terms include "forecast," "predict," "time series analysis," "future values," and requests involving temporal data.
analyzing-time-series
https-deeplearning-aiComprehensive diagnostic analysis of time series data. Use when users provide CSV time series data and want to understand its characteristics before forecasting - stationarity, seasonality, trend, forecastability, and transform recommendations.
clari-forecasting
a5c-aiClari revenue operations platform for AI-powered forecasting
budget-forecasting-engine
a5c-aiDriver-based budgeting and forecasting skill with rolling forecast support and variance analysis
time-series-analyzer
a5c-aiSkill for time-series analysis and forecasting
economic-indicator-tracker
a5c-aiMacroeconomic indicator monitoring and analysis capability with trend identification and forecasting
time-series-forecaster
a5c-aiTime series forecasting skill for business metric prediction and demand planning
cash-flow-forecaster
a5c-aiDaily, weekly, and monthly cash forecasting skill with scenario analysis and liquidity stress testing
demand-forecasting-engine
a5c-aiAI-powered demand prediction capability that uses historical data, market signals, and external factors to improve forecast accuracy
reference-class-forecaster
a5c-aiReference class forecasting skill to counter optimism bias using historical analogies
workforce-demand-forecasting
a5c-aiProject healthcare workforce requirements based on patient volume trends, acuity levels, productivity standards, and skill mix optimization
demand-forecaster
a5c-aiDemand forecasting skill with quantitative and qualitative methods, accuracy measurement, and bias correction
charlie
EveryIncYour AI CFO for bootstrapped startups, named after Charlie Munger who embodied the principle that capital discipline is a competitive advantage. Provides financial frameworks for cash management, runway calculations, unit economics (LTV:CAC), capital allocation, hiring ROI, burn rate analysis, working capital optimization, and forecasting. Use for questions like "should we make this hire?", "how much runway do we need?", "what metrics should I track?", "how do I forecast revenue?", or any strategic financial decision at a self-funded company.
ops-capacity-planning
LerianStudioStructured workflow for infrastructure capacity planning including growth forecasting, scaling strategy, and resource provisioning decisions.
budget-creation
LerianStudioComplete budgeting and forecasting workflow covering annual budgets, departmental budgets, rolling forecasts, and variance analysis. Delivers documented budgets with approval trails.
cash-flow-analysis
LerianStudioCash flow analysis and treasury management workflow covering liquidity assessment, cash forecasting, working capital optimization, and treasury operations.
Time Series Analysis
aj-geddesAnalyze temporal data patterns including trends, seasonality, autocorrelation, and forecasting for time series decomposition, trend analysis, and forecasting models
Regression Modeling
aj-geddesBuild predictive models using linear regression, polynomial regression, and regularized regression for continuous prediction, trend forecasting, and relationship quantification
competitive-cartographer
curiositechStrategic analyst that maps competitive landscapes, identifies white space opportunities, and provides positioning recommendations. Use when users need competitive analysis, market positioning strategy, differentiation tactics, or "how do I stand out?" guidance across any domain (portfolios, products, services). NOT for market size estimation or financial forecasting.
usgs_integrate_gauges
gpt-cmdrComplete USGS gauge data integration workflow from spatial discovery to model validation. Handles gauge finding, data retrieval, matching to HEC-RAS features, boundary condition generation, initial conditions, real-time monitoring, and validation metrics (NSE, KGE). Use when working with USGS data, NWIS gauges, generating boundaries from observed flow, calibrating models, validating with observed data, or setting up operational forecasting.
Trend Analyst
404kidwizExpert in forecasting, signal detection, and market intelligence. Specializes in time-series analysis, social listening, and predictive modeling for business trends.
trend-analyst
zenobi-usExpert trend analyst specializing in identifying emerging patterns, forecasting future developments, and strategic foresight. Masters trend detection, impact analysis, and scenario planning with focus on helping organizations anticipate and adapt to change.
ai-ml-timeseries
vasilyu1983Operational patterns, templates, and decision rules for time series forecasting (modern best practices): tree-based methods (LightGBM), deep learning (Transformers, RNNs), future-guided learning, temporal validation, feature engineering, generative TS (Chronos), and production deployment. Emphasizes explainability, long-term dependency handling, and adaptive forecasting.
scout-mindset-bias-check
lyndonklUse to detect and remove cognitive biases from reasoning. Invoke when prediction feels emotional, stuck at 50/50, or when you want to validate forecasting process. Use when user mentions scout mindset, soldier mindset, bias check, reversal test, scope sensitivity, or cognitive distortions.
bayesian-reasoning-calibration
lyndonklUse when making predictions or judgments under uncertainty and need to explicitly update beliefs with new evidence. Invoke when forecasting outcomes, evaluating probabilities, testing hypotheses, calibrating confidence, assessing risks with uncertain data, or avoiding overconfidence bias. Use when user mentions priors, likelihoods, Bayes theorem, probability updates, forecasting, calibration, or belief revision.
reference-class-forecasting
lyndonklUse when starting a forecast to establish a statistical baseline (base rate) before analyzing specifics. Invoke when need to anchor predictions in historical reality, avoid "this time is different" bias, or establish outside view before inside view analysis. Use when user mentions base rates, reference classes, outside view, or starting a new prediction.
finance-ai-tools
omer-metinMaster the AI tools that transform financial operations. From bookkeeping to forecasting, manage money smarter and make data-driven financial decisions. Use when "finance, accounting, budgeting, forecasting, FP&A, bookkeeping, expense management, finance, accounting, budgeting, forecasting, fpa, expenses" mentioned.
futurist-analyst
rysweetAnalyzes events through futures lens using scenario planning, trend analysis, weak signals, drivers of change, and forecasting methods (exploratory, normative, backcasting). Provides insights on possible futures, emerging trends, disruptive forces, strategic foresight, and alternative scenarios. Use when: Strategic planning, emerging trends, technology assessment, long-term planning, uncertainty navigation. Evaluates: Trends, weak signals, drivers of change, plausible futures, strategic options, uncertainty ranges.
pipeline-forecasting
majesticlabs-devForecast categories, weighted pipeline calculations, deal scoring models, and forecast accuracy metrics.
aeon
lifangdaTime series machine learning toolkit for classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use this skill when working with temporal data, performing time series analysis, building predictive models on sequential data, or implementing workflows that involve distance metrics (DTW), transformations (ROCKET, Catch22), or deep learning for time series. Applicable for tasks like ECG classification, stock price forecasting, sensor anomaly detection, or activity recognition from wearable devices.
openstack-capacity
TibsfoxOpenStack capacity planning operations skill for resource planning, quota management, and scaling decisions. Covers compute capacity (allocation ratios, vCPU/RAM utilization, host aggregates, availability zones), storage capacity (Cinder pool sizing, thin provisioning, Glance storage, Swift rings), network capacity (floating IP pools, port quotas, subnet sizing), project quota management (templates for small/medium/large profiles), flavor sizing strategy, utilization analysis with placement service, growth forecasting from historical metrics, and right-sizing recommendations for underutilized resources.
time-series-decomposer
dkyazzentwatwaDecompose time series into trend, seasonal, and residual components. Use for forecasting, pattern analysis, and seasonality detection.
sales
travisjneumanSales strategy expertise for sales methodologies (MEDDIC, SPIN, Challenger), sales forecasting, account management, pipeline management, sales enablement, and revenue operations. Use when building sales processes, qualifying deals, managing pipelines, or improving close rates.
supply-chain-optimizer
travisjneumanSupply chain analysis, inventory optimization, logistics planning, vendor evaluation, and demand forecasting frameworks. Use when analyzing supply chains, optimizing inventory, or evaluating suppliers.
aeon
oimiragieoThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
aeon
jackspaceThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
portfolio-strategy-advisor
reggiechan74Expert in portfolio-level lease analysis and renewal prioritization. Use when analyzing lease rollover schedules, prioritizing renewals, assessing expiry cliff risk, or forecasting vacancy. Key terms include rollover analysis, expiry cliff, renewal priority, vacancy forecast, portfolio optimization, lease maturity, stagger strategy
aeon
andikarachmanAeon API patterns for time series machine learning -- classification, regression, clustering, anomaly detection, segmentation, and similarity search. Use when /ds:experiment needs time-series-specific ML algorithms (ROCKET, InceptionTime, DTW classifiers), or /ds:eda needs temporal feature extraction (Catch22, ROCKET features) or change point detection. For classical statistical forecasting (ARIMA/SARIMAX) use statsmodels; for tabular ML pipelines use scikit-learn; for visualization use matplotlib.
statsmodels
andikarachmanStatsmodels API patterns for OLS, GLM, discrete choice, time series (ARIMA/SARIMAX), and diagnostics. Use when /ds:experiment needs statsmodels model fitting, diagnostics, or time-series forecasting, or /ds:eda needs VIF and stationarity checks. For guided test selection and APA reporting use statistical-analysis.
budget-planning-assistant
YarmolukBuilds annual operating budgets, departmental budgets, and project budgets. Guides through revenue forecasting, expense categorization, variance analysis, and scenario planning for small to mid-size businesses.
time-series
pluginagentmarketplaceARIMA, SARIMA, Prophet, trend analysis, seasonality detection, anomaly detection, and forecasting methods. Use for time-based predictions, demand forecasting, or temporal pattern analysis.
devflow-planning
YoshikemoloAI-powered sprint planning, velocity analysis, and capacity forecasting. Use for planning sprints, predicting outcomes, and providing agile recommendations based on historical data.
cloud-finops
OptimNowExpert Cloud FinOps guidance covering AI cost management (LLM inference costs, token economics, agentic cost patterns, AI unit economics, AI ROI), AWS cost optimization (EC2 rightsizing, Reserved Instances, Savings Plans, CUR, Cost Explorer), Azure cost management (reservations, Azure Policy, FinOps Toolkit), cloud tagging governance and MCP-based automation, and FinOps framework implementation (Inform/Optimize/Operate, Crawl/Walk/Run maturity, 22 capabilities, cost allocation, chargeback, showback, forecasting, budgeting). Use for any query about cloud cost, cloud financial operations, FinOps practice setup, AI workload costs, prompt optimization, model selection, tagging strategy, or connecting cloud spend to business value. Built by OptimNow.
accountant
olehsvyrydovSenior Accountant & Strategic CFO with 20+ years experience in tech sector. Use for tax planning, VAT/sales tax compliance, financial forecasting, contractor assessments, or accounting app logic design. Auto-triggers tax warnings and savings opportunities. Adapts to user's jurisdiction.
