{
  "markdown": "# TimeDataModel — Claude Code Plugin\n\nA Claude Code skill that makes Claude an expert in the [TimeDataModel](https://github.com/rebase-energy/TimeDataModel) Python library — the standard for self-describing, bi-temporal time series data in energy and forecasting pipelines.\n\nOnce installed, Claude automatically applies this knowledge whenever you work with `TimeSeries` or `TimeSeriesTable` objects. No commands to remember — it just works.\n\n## What Claude learns\n\n- **DataShape selection** — when to use `SIMPLE`, `VERSIONED`, `CORRECTED`, or `AUDIT` based on your modeling needs\n- **Creating time series** — from pandas, Polars, NumPy, and PyArrow, with the right `Frequency`, `DataType`, and metadata\n- **Bi-temporal modeling** — structuring forecasts with `knowledge_time` + `valid_time` for full auditability\n- **Enums** — complete `Frequency`, `DataType` hierarchy, and `TimeSeriesType` reference\n- **Workflows** — import/export, slicing, unit conversion (pint), geospatial filtering, and validation\n\n## Installation\n\nSearch for it in Claude Code:\n\n```\n/find-skills timedatamodel\n```\n\nOr install directly:\n\n```\n/plugin install timedatamodel\n```\n\n## Example\n\nAfter installing, just describe what you want:\n\n> *\"Create a versioned TimeSeries of hourly wind power forecasts from this pandas DataFrame\"*\n\nClaude will produce correct, idiomatic TimeDataModel code — right DataShape, right enums, UTC-aware timestamps — without you needing to look anything up.\n\n## About TimeDataModel\n\n[TimeDataModel](https://github.com/rebase-energy/TimeDataModel) is an open-source Python library by [Rebase Energy](https://rebase.energy) for modeling time series data with rich, machine-readable metadata. It is designed for energy systems, forecasting, and any domain where data provenance and bi-temporality matter.\n\n```\npip install timedatamodel\n```\n",
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  "repo_slug": "rebase-energy/timedatamodel-skill",
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  "api": "https://agentalog.com/api/listings/plg_rebase_energy_timedatamodel_skill_timeda_f73d8273/readme"
}