Encode historical documents as TEI P5 XML with scholarly metadata and apparatus.
npx skills add https://github.com/xjtulyc/awesome-rosetta-skills --skill tei-xml
Please help me install this Agent Skill. Skill: tei-xml Source: https://github.com/xjtulyc/awesome-rosetta-skills/tree/main/skills/13-history/tei-xml Command: npx skills add https://github.com/xjtulyc/awesome-rosetta-skills --skill tei-xml
This Skill helps you turn historical materials into standardized TEI P5 XML so you can add scholarly metadata, represent manuscript witnesses and variant readings, and reliably query and transform the result for digital editions and downstream analysis.
Use the tei-xml skill to encode your historical text as TEI P5, link persName/placeName to VIAF or Wikidata URIs, extract named-entity frequency tables with XPath, and transform the TEI into plain text or HTML-ready output.
High-intent search queries and answers about installing and using this skill.
To encode historical manuscripts as TEI P5 XML, structure your document with a teiHeader containing fileDesc, encodingDesc, and profileDesc, then build the text body with divisions and paragraphs to create a standardized scholarly edition.
Model critical apparatus variants in TEI XML using app, lem, and rdg elements for witness readings, and mark named entities with persName, placeName, and orgName, supporting authority linking via VIAF or Wikidata URIs using the @ref attribute.
Yes, you can use lxml for namespace-aware XPath queries to extract named entities and generate frequency tables from TEI documents, while pandas structures the extracted apparatus data into clean tabular outputs for downstream analysis.
TEI XML transformation to HTML can optionally use XSLT with Saxon-HE, or you can extract plain text directly for NLP tasks, providing flexible publishing and analysis pipelines without strictly requiring Saxon-HE for every output format.
The best way to link TEI encoded persons and places to authority files is using the @ref attribute on persName, placeName, and orgName elements to connect to VIAF or Wikidata URIs for reliable entity identification.
Use TEI P5 XML over plain text because it captures scholarly metadata, represents manuscript witnesses and variant readings in a critical apparatus, and enables reliable XPath querying and XSLT transformation for digital editions and downstream analysis.
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