comol/img-grid-analysis
content/skills/img-grid-analysis/SKILL.md
Overlay a numbered grid on an image to determine column proportions for layout generation. Use when creating MXL spreadsheet layouts from screenshots or scanned print forms.
$ install --global
skillsauthnpx skillsauth add comol/cursor_rules_1c img-grid-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
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Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: May 15, 2026, 2:42 AM169.5s2 files scanned
SKILL.md
- name:
- img-grid-analysis
- description:
- Overlay a numbered grid on an image to determine column proportions for layout generation. Use when creating MXL spreadsheet layouts from screenshots or scanned print forms.
Image Grid Analysis — Grid Overlay for Layout Design
Usage
img-grid-analysis <ImagePath> [-c COLS] [-o OUTPUT]
| Parameter | Required | Default | Description |
|-----------|:--------:|---------|-------------|
| ImagePath | yes | — | Path to image (PNG, JPG) |
| -c COLS | no | 50 | Number of vertical divisions |
| -r ROWS | no | auto | Number of horizontal divisions (auto = square cells) |
| -o OUTPUT | no | <name>-grid.<ext> | Output path |
Command
<skill-dir> below is the directory of this skill: content/skills/img-grid-analysis/ in the 1c-rules source repo, or <tool>/skills/img-grid-analysis/ after installation (e.g. .cursor/skills/img-grid-analysis/).
python <skill-dir>/scripts/overlay-grid.py "<ImagePath>" [-c 50] [-o "<OutputPath>"]
Requires Python 3 with Pillow library (pip install Pillow).
What It Does
- Draws semi-transparent vertical (red) and horizontal (blue) lines
- Numbers lines in separate fields at top and left (does not overlap content)
- Every 5th and 10th line is brighter for easier counting
How to Use the Result
1. Determine Column Boundaries
Look at the gridded image and note vertical boundary coordinates of each table column (in grid line numbers).
2. Find the Base Grid
If the form has multiple tables with different layouts (e.g., document header and main table), combine all boundary points. Each segment between adjacent boundaries is one MXL column.
Example for form M-11:
- Header: boundaries 0, 2, 4, 9, 14, 21, 28, 34, 40, 48
- Table: boundaries 0, 2, 4, 11, 16, 19, 23, 28, 32, 36, 42, 48
- Union: 0, 2, 4, 9, 11, 14, 16, 19, 21, 23, 28, 32, 34, 36, 40, 42, 48
- Result: 16 base columns with proportions 2, 2, 5, 2, 3, 2, 3, 2, 2, 5, 4, 2, 2, 4, 2, 6
3. Write in JSON DSL
{
"columns": 16,
"page": "A4-landscape",
"columnWidths": {
"1": "2x", "2": "2x", "3": "5x", "4": "2x", "5": "3x",
"6": "2x", "7": "3x", "8": "2x", "9": "2x", "10": "5x",
"11": "4x", "12": "2x", "13": "2x", "14": "4x", "15": "2x", "16": "6x"
}
}
The "page" field allows the compiler to automatically calculate absolute widths from proportions.
4. Compile
1c-mxl-compile → 1c-mxl-validate → 1c-mxl-info
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