GitHub
nixtla-experiment-architect
Generate production-ready forecasting experiments with StatsForecast and TimeGPT. Use when setting up model benchmarking or cross-validation. Trigger with 'scaffold experiment' or 'compare models'.
Skills IA databases finance investment
Découvrez les skills databases finance investment, comparez leurs dépôts et consultez leurs instructions.
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Explorer
GitHub
nixtla-liquidity-forecaster
Forecasts orderbook depth and spreads to optimize trade execution timing. Use when needing to estimate market liquidity for large orders. Trigger with "forecast liquidity", "predict orderbook", "estimate depth"...
GitHub
nixtla-baseline-review
Analyze Nixtla baseline forecasting results (sMAPE/MASE on M4 or other benchmark datasets). Use when the user asks about baseline performance, model comparisons, or metric interpretation for Nixtla time-series...
GitHub
nixtla-market-risk-analyzer
Analyze market risk with VaR, volatility, and position sizing using forecast data. Use when assessing investment risk. Trigger with 'analyze market risk' or 'calculate VaR'.
GitHub
nixtla-skills-index
Analyze and categorize installed Nixtla Skills for forecasting guidance. Use when seeing available skills or selecting the right one. Trigger with 'list nixtla skills' or 'what skills'.
GitHub
nixtla-batch-forecaster
Forecast multiple time series in parallel using TimeGPT. Use when processing 10-100+ contracts efficiently. Trigger with 'batch forecast' or 'parallel forecasting'.
GitHub
nixtla-polymarket-analyst
Analyze and forecast Polymarket contracts using TimeGPT with confidence intervals. Use when predicting contract prices. Trigger with 'Polymarket analysis' or 'forecast prediction market'.
GitHub
nixtla-contract-schema-mapper
Transform prediction market data to Nixtla format (unique_id, ds, y). Use when preparing datasets for forecasting. Trigger with 'convert to Nixtla format' or 'schema mapping'.
GitHub
nixtla-timegpt-lab
Provides expert Nixtla forecasting using TimeGPT, StatsForecast, and MLForecast. Generates time series forecasts, analyzes trends, compares models, performs cross-validation, and recommends best practices. Acti...
GitHub
nixtla-batch-forecaster
Forecasts multiple time series in parallel batches using TimeGPT API. Optimizes throughput with rate limiting and supports portfolio aggregation. Use when processing 10-100+ contracts or needing efficient multi...
GitHub
timegpt-pipeline-builder
Generate production-ready TimeGPT forecasting pipeline code from requirements. Use when scaffolding a pipeline with validation, logging, visualization, and repeatable runs. Trigger with "create TimeGPT pipeline...
GitHub
nixtla-correlation-mapper
Analyzes multi-contract correlations and generates hedge recommendations. Use when managing a portfolio of correlated assets and needing to mitigate risk. Trigger with "analyze correlations", "suggest hedge", "...
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nixtla-model-benchmarker
Generate benchmarking pipelines to compare forecasting models and summarize accuracy/speed trade-offs. Use when evaluating TimeGPT vs StatsForecast/MLForecast/NeuralForecast on a dataset. Trigger with "benchmar...
GitHub
nixtla-model-selector
Automatically selects the best forecasting model between StatsForecast and TimeGPT based on time series data characteristics. Use when unsure which model performs best. Trigger with "auto-select model", "choose...
GitHub
nixtla-experiment-architect
Scaffolds production-ready forecasting experiments with Nixtla libraries. Creates configuration files, experiment harnesses, multi-model comparisons, and cross-validation workflows for StatsForecast, MLForecast...
GitHub
nixtla-event-impact-modeler
Analyze causal impact of events on time series forecasts using TimeGPT. Use when quantifying promotion or disaster effects. Trigger with 'event impact analysis' or 'causal analysis'.
GitHub
nixtla-liquidity-forecaster
Forecasts orderbook depth and spreads to optimize trade execution timing. Use when needing to estimate market liquidity for large orders. Trigger with 'forecast liquidity', 'predict orderbook', 'estimate depth'...
GitHub
nixtla-anomaly-detector
Detects anomalies in time series data using TimeGPT. Identifies outliers, level shifts, and trend breaks without model training. Use when identifying anomalies, outliers, or unusual patterns in time series. Tri...
GitHub
nixtla-demo-generator
Generate production-ready Jupyter notebooks showcasing Nixtla forecasting workflows for statsforecast, mlforecast, and TimeGPT. Use when creating demos, building examples, or showcasing forecasting capabilities...
GitHub
nixtla-uncertainty-quantifier
Quantifies prediction uncertainty using conformal prediction. Use when risk assessment, scenario planning, or decision-making under uncertainty is required. Trigger with "quantify uncertainty", "generate predic...
GitHub
nixtla-uncertainty-quantifier
Analyze forecast uncertainty using conformal prediction. Use when risk assessment or scenario planning is required. Trigger with 'quantify uncertainty' or 'prediction intervals'.
GitHub
nixtla-model-selector
Automatically selects the best forecasting model between StatsForecast and TimeGPT based on time series data characteristics. Use when unsure which model performs best. Trigger with 'auto-select model', 'choose...
GitHub
nixtla-anomaly-detector
Detects anomalies in time series data using TimeGPT. Identifies outliers, level shifts, and trend breaks without model training. Use when identifying anomalies, outliers, or unusual patterns in time series. Tri...
GitHub
nixtla-polymarket-analyst
Analyzes Polymarket prediction market contracts and forecasts price movements using TimeGPT. Activates when analyzing prediction markets, forecasting contract outcomes, or evaluating market sentiment. Triggers...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.