Prophet 预测
SkillAI & modelsDecompose 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.
No other account needed.
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
- Use
get_schemato identify the time column, target column, known holiday or event fields, and source table. - Use
query_dataonly to verify frequency, gaps, outliers, and enough history for trend and seasonality. - Use
run_analysiswithanalysis_name="Time_Series_Prophet"for the actual forecast computation. - Use
generate_charton forecast, trend, or seasonality result tables afterrun_analysissucceeds.
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