machine-learning
1
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'.
intent-solutions-io
data-ai
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machine-learning
1
statistical-analysis
Master statistical analysis with hypothesis testing, A/B testing, regression, and statistical methods for data-driven decisions.
spjoshis
data-ai
machine-learning
1
nixtla-benchmark-reporter
Generate comprehensive markdown benchmark reports from forecast accuracy metrics with model comparisons, statistical analysis, and regression detection. Use when analyzing baseline performance, comparing forecast models, or validating model quality. Trigger with 'generate benchmark report', 'analyze forecast metrics', or 'create performance summary'.
intent-solutions-io
data-ai
machine-learning
1
nixtla-timegpt-lab
Generate time series forecasts using TimeGPT, StatsForecast, and MLForecast. Use when forecasting, demand planning, or model comparison is needed. Trigger with 'forecast time series' or 'run Nixtla forecast'.
intent-solutions-io
data-ai
machine-learning
1
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. Trigger with 'generate demo notebook', 'create Jupyter demo', or 'build forecasting example'.
intent-solutions-io
data-ai
machine-learning
1
nixtla-forecast-validator
Validates time series forecast quality metrics by comparing current performance against historical benchmarks. Detects degradation in MASE and sMAPE metrics. Activates when user mentions "validate forecast", "check forecast quality", or "assess forecast metrics".
intent-solutions-io
data-ai
machine-learning
1
sap-rpt1-oss-predictor
Use SAP-RPT-1-OSS open source tabular foundation model for predictive analytics on SAP business data. Handles classification and regression tasks including customer churn prediction, delivery delay forecasting, payment default risk, demand planning, and financial anomaly detection. Use when asked to predict, forecast, classify, or analyze patterns in SAP tabular data exports (CSV/DataFrame). Runs locally via Hugging Face model.
amitlals
data-ai
machine-learning
1
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 experiments. Trigger with "baseline review", "interpret sMAPE/MASE", or "compare AutoETS vs AutoTheta".
intent-solutions-io
data-ai
machine-learning
1
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-series forecasting. Trigger with "batch forecast", "portfolio forecast", "parallel forecasting".
intent-solutions-io
data-ai
machine-learning
1
advanced-math-tradingrobustness-risk
Tail risk, EVT, regularization, validation guardrails, and common pitfalls.
keith-mvs
data-ai
machine-learning
1
statsmodels
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.
hxk622
data-ai
machine-learning
1
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 experiments. Trigger with "baseline review", "interpret sMAPE/MASE", or "compare AutoETS vs AutoTheta".
intent-solutions-io
data-ai
machine-learning
1
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 "benchmark models", "compare TimeGPT vs StatsForecast", or "model selection".
intent-solutions-io
data-ai
machine-learning
1
shap
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.
hxk622
data-ai
machine-learning
1
scikit-survival
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.
hxk622
data-ai
machine-learning
1
data-engineering
ML data engineering covering data pipelines, data quality, collection strategies, storage, and versioning for machine learning systems.
doanchienthangdev
data-ai
machine-learning
1
nixtla-prod-pipeline-generator
Transforms forecasting experiments into production-ready inference pipelines with Airflow, Prefect, or cron orchestration. Generates ETL tasks, monitoring, error handling, and deployment configs. Activates when user needs to deploy forecasts to production, schedule batch inference, operationalize models, or create production pipelines.
intent-solutions-io
data-ai
machine-learning
1
huggingface-model-trainer
Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods
frankxai
data-ai
machine-learning
1
model-deployment
Export and deploy fine-tuned models to production. Covers GGUF/Ollama, vLLM, HuggingFace Hub, Docker, quantization, and platform selection. Use after fine-tuning when you need to deploy models efficiently.
ScientiaCapital
data-ai
machine-learning
1
huggingface-hub
Hugging Face Hub integration for model and dataset operations
oimiragieo
data-ai
machine-learning
1
ml-serving-optimization
ML serving optimization techniques including batching, caching, model compilation, and latency reduction for production ML systems.
doanchienthangdev
data-ai
machine-learning
1
nixtla-timegpt-finetune-lab
Configure TimeGPT fine-tuning on custom datasets with Nixtla SDK. Use when training domain-specific forecast models. Trigger with 'fine-tune TimeGPT' or 'train custom model'.
intent-solutions-io
data-ai
machine-learning
1
prompt-engineering-patterns
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
ian-pascoe
data-ai
machine-learning
1
domino-model-monitoring
Monitor deployed models in Domino including drift detection, model quality tracking, and alerting. Covers data drift analysis, prediction capture, baseline comparison, alert configuration, and remediation workflows. Use when monitoring production models, detecting drift, or setting up model health alerts.
jvdomino
data-ai