td-seasonal-decompose
Seasonal pattern decomposition and analysis
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. Trigger with "detect anomalies", "find outliers", "anomaly detection".
analyzing-data
Statistical analysis toolkit for hypothesis testing, regression, correlation, Bayesian statistics, power analysis, and APA reporting. USE when conducting academic research, analyzing experimental data, testing hypotheses with t-tests or ANOVA, performing regression analyses, calculating effect sizes, checking statistical assumptions, or generating publication-ready statistical reports. Do not use for literature reviews, tool selection, or methodology design → see conducting-research skill.
experiment-analyzer
Analyze completed growth experiment results, validate hypotheses, generate insights, and suggest follow-up experiments. Use when experiments are completed, when the user asks about results or learnings, or when discussing what to do next based on experiment outcomes.
project-research
"Research workflow patterns specific to {project}. Covers research agent coordination, source management, and synthesis strategies."
research-assistant
Conducts general research, summarizes information, compares options, provides insights
nixtla-event-impact-modeler
Quantifies the impact of exogenous events on contract prices using TimeGPT and CausalImpact. Triggers on "event impact analysis", "model event effects", "quantify event impact", or "causal analysis".
statistical-analysis
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and APA-formatted results. Best for academic research reporting, test selection guidance. For implementing specific models programmatically use statsmodels.
clinical-decision-support
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
biomni
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.
health-data-analysis
Specialized skill for analyzing personal health data, medical records, lab results, and supplement protocols. Use when working with health records, clinical data, lab values, or health optimization planning.
data-intelligence-fabric
Institutional-grade data cleaning, tick physics auditing, and gap reconstruction.
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. Activates when user needs forecasting, time series analysis, sales prediction, demand planning, revenue forecasting, or M4 benchmarking.
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'.
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. Trigger with "detect anomalies", "find outliers", "anomaly detection".
brainstorm-skills
Deep iterative research using progressive flow psychology (diverge-analyze-converge-execute) with parallel agents, skeptical analysis, and multi-perspective synthesis. Use for thorough topic exploration, decision-making research, or when you need battle-tested conclusions.
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'.
researching-stocks
Workflow for multi-step financial research requiring multiple data sources. Use for company comparisons, due diligence, comprehensive analysis, or complex financial questions.
first-principles-design
First-principles approach to plugin design. Use when designing new plugins, evaluating features, or simplifying existing implementations.
research-business-analysis
How to do research for benchmarking, financial and economic modeling, and other business analysis tasks.
