Convert the single-animal user guide to MyST-friendly markdown and improve layout and clarity. Changes include: add a table-of-contents directive; replace raw HTML <img>/<p> blocks with MyST image directives and metadata; introduce admonitions (important/note/caution/hint) for critical points; restructure the project directory section into bulleted lists and an ASCII tree; clarify Windows path guidance and config.yaml parameter notes; normalize API Docs headings and other formatting fixes. These are documentation/formatting updates to improve rendering and readability—no functional code changes.

Update documentation for the single-animal user guide: convert local link refs to file:single-animal-userguide, fix napari link formatting, and reorganize/clarify many sections in standardDeepLabCut_UserGuide.md. Added consistent subsection headings (Overview, Code example, Output, etc.), separators, code block language annotations, a schematic of the training dataset layout, and improved wording/indentation for lists and examples. Also updated UseOverviewGuide.md to point to the revised single-animal guide. These changes improve readability, provide clearer examples, and make the workflow steps and outputs easier to follow.

Minor documentation cleanup in docs/standardDeepLabCut_UserGuide.md: split the conda activation into its own numbered step, simplify wording and line breaks for clarity, and remove bold all-caps headings (OVERVIEW and MODEL COMPARISON) in favor of normal sentences. Purely editorial changes; no functional code changes.

Reorganize the project directory section in the user guide: move the sentence about where outputs are stored to follow the directory tree block and adjust list numbering for the subdirectory descriptions for clarity. Replace Markdown-style links to the napari-deeplabcut docs with Sphinx {ref} roles in two places and clean up minor whitespace/formatting.

Miscellaneous documentation fixes and clarifications across the user guide:
- Grammar/wording fixes (e.g. "training and testing set", other minor edits).
- Rename config option reference: numframes2extract -> numframes2pick.
- Update napari-deeplabcut docs reference to RST cross-reference style.
- Rework Optional labels section for clearer phrasing and line breaks.
- Adjust networks paragraph spacing and wording.
- Reformat dynamic-cropping docs: use triple-quoted string, change "triple" -> "tuple", correct "detectiontreshold" -> "detectionthreshold", and move explanatory text outside the code block for readability.
- Update Filter Pose Data: note output used by create_labeled_video (was create_labeled_data) and plot trajectories.
- Minor improvements to Plot Trajectories section wording and spacing.
- Clarify SkeletonBuilder usage: call deeplabcut.SkeletonBuilder(config_path) and explain config_path.
These edits are documentation-only and improve readability, accuracy, and consistency.

Rewrite and reorganize project subdirectory documentation for clarity: convert prose into numbered sections for dlc-models/dlc-models-pytorch, labeled-data, training-datasets, and videos; clarify iteration/shuffle/train/test structure, YAML config files, and checkpoint usage; note copy_videos behavior (default False). Update napari labeling section to use a hint block linking to napari docs and remove the inline HOT KEYS block (left commented out). Minor wording tweaks for the optional-labels and label-checking guidance.

Apply editorial fixes to the standard DeepLabCut user guide: correct spelling (e.g., "docstrings"), standardize capitalization for PyTorch and TensorFlow, unify dataset/data set usage, fix punctuation and spacing (e.g., video path, SkeletonBuilder call), and normalize list capitalization. These changes improve readability and consistency across the documentation.