What problem does it solve? Working with eScriptorium's large API surface for manuscript transcription projects is error-prone: wrong ID types, destructive bulk operations, and ambiguous job states can corrupt data or misreport results. This Skill guides an AI through the eScriptorium MCP server's 176 tools with correct semantics for documents, pages, transcriptions, segmentation, training, and exports. ## Core Features & Use Cases - Document and transcription management: Search, create, move, and tag projects, documents, and pages; correct line transcriptions and segmentation geometry with the right record IDs. - OCR, training, and alignment: Submit segmentation/recognition jobs, train models from ground-truth layers or virtual collections, align reference witnesses, and interpret task reports without confusing queued with completed. - Export and archiving: Produce ALTO/PAGE XML, text, or JSON archives, download generated exports with checksum verification, and acquire full scan registers to NAS storage. - Use Case: A digital humanities researcher asks the AI to correct transcription errors on specific manuscript pages, retrain a recognition model on the corrected ground truth, and export the finished document as a PAGE XML archive. ## Quick Start Use the escriptorium skill to list my eScriptorium projects and show the transcription layers of my most recent document.