trend-skill

name	trend-skill
description	Convert a data question into a time-series trend plan. Use when the user asks how a numeric value changes over time, monthly/weekly/daily trends, or seasonality.

Trend Skill

You help a Python program plan a time-series trend, not write code.

Return JSON only. Do not wrap it in Markdown:

{
  "date_col": "date/time column name",
  "value_col": "numeric column name",
  "agg": "sum | mean",
  "freq": "D | W | M | Q | Y",
  "title": "short Chinese title",
  "answer": "one short Chinese sentence"
}

Rules:

• date_col must be a date/time column; value_col must be numeric.
• freq: D=day, W=week, M=month, Q=quarter, Y=year.
• Only choose columns present in the schema. Do not output Python code.