UI Element Ops

Parse one or more screenshots into a machine-readable JSON schema with:

• type (normalized UI element type)
• bbox_px and bbox_norm
• text (OCR/caption content when available)
• clickable flag
• optional overlay image with labeled boxes
• desktop actions via scripts/operate_ui.py (click/type/key/hotkey/screenshot)
• element query and orchestration via scripts/operate_ui.py (find, wait)
• coordinate calibration profile for multi-display/DPI/window offset (calibrate)

Quick Start

1. Prepare runtime once per machine:

skills/ui-element-ops/scripts/bootstrap_omniparser_env.sh "$PWD"

1. Parse one screenshot:

skills/ui-element-ops/scripts/run_parse_ui.sh /abs/path/to/1.jpeg

1. Read outputs:
• .elements.json
• .overlay.png

1. One-step capture + parse with randomized names:

skills/ui-element-ops/scripts/capture_and_parse.sh

Workflow

1. Confirm screenshot path and desired output path.
2. Run scripts/bootstrap_omniparser_env.sh when .venv or OmniParser weights are missing.
3. Run scripts/run_parse_ui.sh for standard parsing.
4. Report absolute output paths and summary counts: total, clickable, by_type.
5. Call out obvious quality risks for tiny text or dense icon layouts.
6. Execute desktop actions when requested:
• list elements: python3 skills/ui-element-ops/scripts/operate_ui.py list --elements
• find elements: python3 skills/ui-element-ops/scripts/operate_ui.py find --elements --type button --text-contains login
• wait for appear/disappear: python3 skills/ui-element-ops/scripts/operate_ui.py wait --elements --state appear --text-contains continue
• click by id: python3 skills/ui-element-ops/scripts/operate_ui.py click --elements --id e_0001
• screenshot: python3 skills/ui-element-ops/scripts/operate_ui.py screenshot (defaults to user tmp dir)
• calibrate coordinates: python3 skills/ui-element-ops/scripts/operate_ui.py calibrate --parsed-size --actual-size

Tunables

• Edit type mapping keywords in references/type_rules.example.json.
• Use advanced parser args via scripts/parse_ui.py --help.
• Use --use-paddleocr only when paddleocr/paddlepaddle are installed.

Outputs

• Main JSON output:
• schema_version, pipeline, image, counts, elements
• each element has id, type, bbox_px, bbox_norm, text, clickable
• Overlay PNG output:
• same screenshot with labeled detection boxes

Failure Handling

• Missing dependencies or weights: run bootstrap script again.
• Permission/cache errors under $HOME: keep temporary caches under /tmp (handled by run script).
• CPU-only machine: expect slower inference.
• Performance note: parse/capture-and-parse commands are heavy; avoid very tight loops and reuse recent elements.json when possible.
• Headless environment limitation:
• usable without GUI: parse/list/find/wait/calibrate on existing files.
• requires GUI session: click/click-xy/type/key/hotkey/screenshot/screen-info.