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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.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/comol/ai_rules_1c --skill img-grid-analysisコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Catalog of MCP servers for 1C development — search, code navigation, metadata, code review, docs, ITS, templates. Use whenever a 1C task requires calling tools from any 1c-*-mcp / 1C-*-mcp server. Each server has its own detail file under `docs/` — load it when you are about to call tools from that server, and only if the server is actually available in the current session.
1C metadata management — create, edit, validate, and remove configuration objects (catalogs, documents, registers, enums), managed forms, data composition schemas (SKD), spreadsheet layouts (MXL), roles, external processors (EPF/ERF), extensions (CFE), configurations (CF), databases, subsystems, command interfaces, templates. Use when working with 1C metadata structure.
1C configuration repository (хранилище конфигурации) operations — status, history, diff, lock, update, commit, unlock, dump — and the SDLC discipline for repository-bound configurations (lock before edit, commit after verify). Use when .dev.env REPOSITORY_PATH is set or the task mentions the configuration repository / хранилище.
SOC 職業分類に基づく
SKILL.md を表示中
| 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. |
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 |
<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).
Look at the gridded image and note vertical boundary coordinates of each table column (in grid line numbers).
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:
{
"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":
The "page" field allows the compiler to automatically calculate absolute widths from proportions.
1c-mxl-compile → 1c-mxl-validate → 1c-mxl-info