Tei Text Encoding
Documentstei-text-encodingTei Text Encoding is an Agent Skill for documents published in the a5c-ai/babysitter repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
Encode texts following Text Encoding Initiative standards for digital editions, annotations, and scholarly apparatus
How to use this skill
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Inspect the Agent Skill at https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/social-sciences-humanities/humanities/skills/tei-text-encoding/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/tei-text-encoding, but wait for my approval before writing files or running scripts.
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TEI Text Encoding
Encode texts following Text Encoding Initiative standards for digital editions, annotations, and scholarly apparatus.
Overview
This skill enables encoding of texts using TEI XML standards. It encompasses document structure markup, scholarly annotation, critical apparatus encoding, and metadata documentation for digital humanities projects.
Capabilities
Document Structure
- Header encoding
- Text division marking
- Paragraph and line elements
- List and table encoding
- Figure and graphic references
Scholarly Annotation
- Editorial interventions
- Commentary notes
- Cross-references
- Index entries
- Bibliography links
Critical Apparatus
- Variant readings
- Witness documentation
- Apparatus entries
- Textual notes
- Stemmatic information
Metadata
- TEI header completion
- Source description
- Encoding description
- Profile description
- Revision history
Usage Guidelines
Encoding Process
- Analyze source document
- Plan encoding strategy
- Create TEI header
- Encode document structure
- Add scholarly annotations
- Validate against schema
- Document conventions
TEI Best Practices
- Follow TEI Guidelines
- Use appropriate modules
- Maintain consistency
- Document customizations
- Validate regularly
Quality Standards
- Schema compliance
- Encoding completeness
- Documentation clarity
- Reproducibility
- Sustainability
Integration Points
Related Processes
- Digital Archive Development
- Textual Criticism and Editing
- Text Mining and Distant Reading
Collaborating Skills
- metadata-standards-implementation
- literary-close-reading
- archival-finding-aid-interpretation
References
- TEI Guidelines
- TEI by Example tutorials
- Digital editing standards
- XML best practices