Updated today
by DataZooDE
anofox-forecast
Statistical timeseries forecasting in DuckDB
41 GitHub stars (41)
+2 in 16 days
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- 5 skills (5 skills found in its SKILL.md files)
- 3 forks (3 forks)
- Today last update (Last updated today)
Install
Skills CLI
npx skills add DataZooDE/anofox-forecast
Asks which skills and agents to install. Just one: npx skills add DataZooDE/anofox-forecast --skill anofox-forecast-backtest — add -g for every project.
Claude Code
git clone https://github.com/DataZooDE/anofox-forecastcp -r "anofox-forecast/plugins/anofox-forecast/skills/anofox-forecast-backtest" ~/.claude/skills/
Copies the anofox-forecast-backtest skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add DataZooDE/anofox-forecast
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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anofox-forecast-backtest
Backtesting, cross-validation, evaluation metrics, and conformal prediction intervals for the anofox_forecast DuckDB extension. Use when evaluating forecast accuracy, comparing models with time-series-aware CV, computing metrics (MAE / RMSE / MAPE / MASE / coverage), or attaching distribution-free prediction intervals to forecasts.
plugins/anofox-forecast/skills/anofox-forecast-backtest/SKILL.md on GitHub (opens in a new tab) -
anofox-forecast-data-prep
Data preparation for the anofox_forecast DuckDB extension — filling gaps, imputing nulls, dropping bad series, differencing, detrending, hierarchical key operations. Use when preparing raw time series for downstream forecasting or backtesting with `ts_forecast_by` / `ts_cv_folds_by`.
plugins/anofox-forecast/skills/anofox-forecast-data-prep/SKILL.md on GitHub (opens in a new tab) -
anofox-forecast-detection
Seasonality, changepoint, peak, and decomposition detection for the anofox_forecast DuckDB extension. Use when identifying seasonal periods before configuring seasonal forecasting models, detecting structural breaks, analysing peak timing regularity, or decomposing a series into trend / seasonal / residual components.
plugins/anofox-forecast/skills/anofox-forecast-detection/SKILL.md on GitHub (opens in a new tab) -
anofox-forecast-eda
Exploratory data analysis, data quality, and statistical diagnostics for the anofox_forecast DuckDB extension — 34 per-series statistics, data-quality scoring, quality-report summaries, 117 tsfresh-compatible feature extraction, and 7 diagnostic functions covering stationarity (ADF, KPSS, combined verdict) and residual adequacy (Ljung-Box, Durbin-Watson, Jarque-Bera, combined report). Use before…
plugins/anofox-forecast/skills/anofox-forecast-eda/SKILL.md on GitHub (opens in a new tab) -
anofox-forecast-models
Forecasting models and the `ts_forecast_by` / `ts_forecast_var_by` API surface of the anofox_forecast DuckDB extension. Covers 36 models (baseline, exponential smoothing, state-space ARIMA + Kalman, classical GARCH, Theta, multi-seasonal, intermittent-demand, distributional Laplace with three variants, panel/global GlobalETS/GlobalTheta/GlobalCroston, and multivariate VAR via ts_forecast_var_by),…
plugins/anofox-forecast/skills/anofox-forecast-models/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.
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