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/img-grid-analysis

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.

BOOST
From plugin
ai-rules-1c
48732 skills13 agents45 commands
Install
$ npx -y skills add comol/ai_rules_1c --skill img-grid-analysis --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/img-grid-analysis

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

img-grid-analysis.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

1. Draws semi-transparent vertical (red) and horizontal (blue) lines 2. Numbers lines in separate fields at top and left (does not overlap content) 3. 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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