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Diseño y creatividad · SKILL.md

annotation-ui-and-data

annotation-ui-and-data

Operate AnyLabeling desktop annotation, label JSON, canvas/shape editing, and annotation export workflows.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentación de la Skill

GitHub

name: annotation-ui-and-data description: "Operate AnyLabeling desktop annotation, label JSON, canvas/shape editing, and annotation export workflows." disable-model-invocation: true metadata: disco-role: operating license: GPL 3.0

annotation-ui-and-data

Use this sub-skill when the task is about AnyLabeling's manual desktop annotation workflow, label JSON files, image navigation, canvas shape behavior, annotation-related CLI/config flags, or exporting saved labels to YOLO, Pascal VOC, COCO, or CreateML.

Route here for

  • Opening images or directories, navigating next/previous images, autosave, output directory/file behavior, and label validation/session options.
  • Understanding or repairing AnyLabeling JSON files: top-level fields, shapes, flags, text, group_id, other_data, imagePath, imageData, and image dimensions.
  • Polygon, rectangle, circle, line, point, and linestrip shape editing; grouped shapes; shape text; image-level flags/text; canvas bounded movement and rectangle point ordering.
  • Format export behavior, including which shape types are exported or skipped and how dataset-wide exports differ from per-file exports.

Route elsewhere

  • Auto-labeling model registry, model downloads, ONNX/CoreML inference, SAM/YOLO prompt behavior, and embedding caches belong to the auto-labeling-models sub-skill.
  • Packaging, releases, build resources, translation/resource compilation, PyInstaller, and PyPI wheel variants belong to the packaging-release sub-skill.
  • Deep PyQt internals are out of scope unless they affect user-visible annotation behavior or troubleshooting.

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Bundled helpers

Both scripts are self-contained, argparse-based, safe by default, and runnable from any current directory.

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