Prophet 预测

SkillAI & models

Decompose trends and seasonality and forecast time series using Prophet (trigger word: forecast for time series prediction)

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Prophet 预测 skill

What this skill tells your AI

The instructions your AI receives, as published by zafer-liu/data-analysis-agent in skills/prophet/SKILL.md and read by ahel’s review.

确认时间列、目标、频率、预测期及已知节假日。用时间切分验证,展示趋势、季节性、预测区间和误差;异常点或结构突变应单独提示。

Tool routing

  1. Use get_schema to identify the time column, target column, known holiday or event fields, and source table.
  2. Use query_data only to verify frequency, gaps, outliers, and enough history for trend and seasonality.
  3. Use run_analysis with analysis_name="Time_Series_Prophet" for the actual forecast computation.
  4. Use generate_chart on forecast, trend, or seasonality result tables after run_analysis succeeds.

Implementation reference

  • Tool entry: agent/tools/business/data.py::_tool_run_analysis
  • Analysis registry: Function/Analyze/registry.py
  • Analysis implementation: Function/Analyze/Time_Series_Prophet/analyze.py
  • Chart implementation: Function/Charts_generation/chart_generate.py

Signals

GitHub stars
3k
Forks
221
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
prophet
Source
github.com/zafer-liu/data-analysis-agent