About this skill
Analyzing and forecasting data ordered in time. Covers stationarity and differencing, autocorrelation (ACF and PACF), AR, MA, ARMA, and ARIMA models, the Box-Jenkins methodology, seasonality and SARIMA, forecasting with prediction intervals, and residual diagnostics including the Ljung-Box test. Use when data is indexed by time, when forecasting future values, when detecting trend or seasonality, or when checking whether residuals still carry structure.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 38066a8c8bb489ece19f44d14967fc1cfdd0119351432bd0ab541bcd2111250a
About this listing
- Category
- General
- Reported license
- Not specified
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.