Prophet
Prophet is a tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
- •You have a business metric with daily, weekly, or yearly seasonal patterns
- •Your growth is linear or non-linear and you want to forecast future trends
- •You need to handle multiple seasons and holidays in your forecasting model
m = Prophet(); m.fit(pd.DataFrame({'ds': ['2022-01-01', '2022-01-02'], 'y': [10, 20]})); future = m.make_future_dataframe(periods=30); forecast = m.predict(future)Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/prophet && curl -fsSL https://workflowstacks.com/api/skills/prophet/claude-skill -o ~/.claude/skills/prophet/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Prophet is a medium Python project (~8.1k lines across 31 code files, plus 13 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2examples/example_air_passengers.csvA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/prophet && curl -fsSL https://workflowstacks.com/api/skills/prophet/claude-skill -o ~/.claude/skills/prophet/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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