AGC Skills

Plugin agc-skills in gordonwatts/agc_marketplace. Commands read from the repo's manifest — 1 month ago.

Skills (5)

• cabinetry-analysis

  Guidance for implementing the statistical analysis component of an analysis in HEP, using cabinetry. Covers loading a pre-existing configuration or authoring one from scratch, building/fitting a workspace (including rebinning overrides), producing fit-result plots, and validating against a second/pr

• coffea-processing

  Guidance for processing retrieved data with coffea into histograms - object/event selection (including multiple analysis regions), event weighting, and running the processor locally or with Dask. Pairs with corrections-systematics for anything beyond a single nominal weight per event.

• corrections-systematics

  Guidance for applying correctionlib-based corrections and implementing systematic uncertainties (weight, object/kinematic, and sample-level) when filling histograms in a HEP analysis pipeline. Use alongside coffea-processing whenever a histogram needs more than a single nominal weight per event.

• dataset-retrieval

  Guidance for retrieving data from dataset names using func_adl and ServiceX, producing a cached fileset ready for coffea processing. Covers both a hand-built file-list dict and a metadata-rich fileset built via a construction utility.

• hist-plotter

  Guidance for plotting histograms produced by a coffea processor - stacked per-region plots, systematic-variation comparison plots, and grids of auxiliary/feature histograms - and saving them (figures and a .root file) in preparation for statistical analysis.

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