data-liberation-skill

Build Python data pipelines that liberate structured data from unstructured and semi-structured sources — government PDFs, FOIA releases, scanned reports, scraped HTML, panel-format spreadsheets — into tidy, documented, reproducible civic datasets. Works at six escalating levels, from a one-shot "just give me the CSV" extraction (L0) up to a fully published, governed, multi-source pipeline (L5) — start low and climb only as far as the task needs. Use whenever the user wants to extract tables or data from PDFs, get a CSV out of a document, scrape a government or institutional site for tabular data, scaffold a reproducible data project, harmonize records across multiple sources, write a data dictionary or crosswalk, audit data against originals, publish a dataset, or wrangle messy historical data. Trigger on phrases like "data liberation," "PDF extraction," "get the data out," "tidy data," "data dictionary," "crosswalk," "provenance," "reconcile," "scrape this site," even when the user does not name the skill e