byetayang10th· 50 skills
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This skill covers the full pipeline for identifying anomalous product category spending patterns during a treatment window (e.g., March 2020 / COVID onset) and determining which demographic factors causally explain those anomalies using Difference-in-Differences (DiD) analysis. The pipeline has…
$npx -y skills add etayang10th/spark-skills --skill trend-anomaly-causal-inferenceInstalls into the current project.
Run `npx skills use "https://github.com/etayang10th/spark-skills" --skill "etayang10th/spark-skills/trend-anomaly-causal-inference"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/etayang10th/spark-skills" that are relevant to the current task. Run `npx skills add "https://github.com/etayang10th/spark-skills"` and select the relevant skills, then follow their instructions.