VAR 分析
SkillAI & modelsLets your agent analyze how multiple time series influence each other using vector autoregression and make forecasts.
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 VAR 分析 skill
About this capability
Use VAR to analyze dynamic relationships among multiple time series (forecast vector autoregression)
What this skill tells your AI
The instructions your AI receives, as published by zafer-liu/data-analysis-agent in skills/var/SKILL.md and read by ahel’s review.
确认多个同步时间序列、频率和滞后范围，检查平稳性与样本长度。报告滞后选择、预测表现和动态响应；将格兰杰关系表述为预测信息而非因果证明。
Tool routing
- Use
get_schemato identify multiple time-aligned target series, the time column, and source table. - Use
query_dataonly to verify frequency alignment, missing periods, stationarity preparation needs, and sample length. - Use
run_analysiswithanalysis_name="Time_Series_VAR"for the actual VAR computation. - Use
generate_charton forecast, lag, or response 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_VAR/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
var- Source
- github.com/zafer-liu/data-analysis-agent