| name | split-the-views |
| description | Convert one image of a multi-view drawing sheet into per-view artifacts. Version 1.8.0 can read each view's region banner (US vs UK/EU) via --ocr-headers, extract drawing fields and right-side title blocks, emit clean drawings with the sheet-title band and view-label band stripped, auto-extract the gray legend/key box and itemize it into a structured bill of materials, vectorize clean drawings into scalable, layer-grouped SVGs, reconstruct complete sheets when a screenshot has cropped a title block (tagging every reconstructed field as inferred), warn about cropped title blocks on every run, and emit an authoritative per-run manifest with exact artifact counts and per-field provenance. Use for drawing views, plates, sheets, separated views, plan/elevation exports, downloadable per-view files, removing the title/header/footer, extracting the legend, or listing the fixtures/bill of materials from CAD/stage-layout sheets.
Invoke on: "split this drawing", "separate the views", "one PDF per view", "give me the plan view by itself", "extract each drawing plate", "remove the title block", "extract the title blocks", "remove the title/header/footer", "strip the sheet title and the scale label", "give me a clean drawing", "extract the legend", "pull out the key box", "list the fixtures", "what's in the legend", "give me the bill of materials", "convert the views to SVG", "vectorize the drawing", "scalable SVG", "separate the drawing from the title block", "make the sheets downloadable", or similar drawing-sheet artifact requests.
Do NOT use for: ordinary photographs, single-view images unless the user asks for title-block/legend extraction, header/footer stripping, or SVG export, or requests that require redrawing/design changes. |
split-the-views - Drawing Sheet Artifact Skill
Version 1.8.0 | 2026-06-25 | package: split-the-views-1.8.0.zip
Package naming
Release archives use this SemVer pattern:
split-the-views-x.x.x.zip
Current release:
split-the-views-1.8.0.zip
The plugin manifest name is:
split-the-views
The primary executable is:
scripts/split_the_views.py
Compatibility wrappers:
scripts/split_views.py
scripts/sheetwright.py
scripts/extract_regions.py
Core vocabulary
view = one cropped sheet panel, preserved as-is
drawing = left drawing field after the title block is removed
title-block = right-side branded/project-info column
clean = drawing field with the top sheet-title band and bottom view-label band removed
legend = gray key/legend box cropped out of the drawing field
debug-overlay = PNG review image showing the detected title-block boundary
svg-layer = linework (black geometry), dimensions (blue), or accents (red) trace layer
Invoke rules
- Run immediately when a user provides a drawing-sheet image and asks for views, plates, sheets, or downloadable per-view outputs.
- Auto-detect the input only when there is exactly one image/PDF in
/mnt/user-data/uploads/. When the uploads directory holds more than one file (e.g. the source image alongside this tool's own .zip), do NOT rely on auto-detect — pass the target sheet explicitly with --input /mnt/user-data/uploads/<file>.
- Never invent semantic view names. Do not pass
--views plan,side,front from visual guessing. Omit --views unless the user explicitly names the panels.
- Do not pass
--prefix unless the user explicitly requests a naming prefix.
- Use
--png when the user is on iOS, asks for Photos-compatible files, or had preview/download failures with PDF/ZIP links.
- Use
--extract-title-blocks when the user asks to remove/extract/separate title blocks, isolate drawing fields, or separate branded sheet metadata from technical drawing content.
- Use
--strip-header-footer when the user asks to remove the sheet title/header, drop the view-label/scale tag at the bottom, or get a "clean" drawing without the surrounding sheet chrome.
- Use
--extract-legend when the user asks for the legend, key, or symbol box, or to pull the gray key panel out of a drawing.
- Use
--svg (optionally --svg-layers) when the user asks to convert/vectorize views or drawings to SVG, wants scalable vector output, or wants drawing elements as selectable paths. Requires the vtracer package.
- Use
--debug-overlays on the first run of a new drawing style so the title-block boundary can be visually audited.
- Use
--reconstruct-titleblock when the source is a phone screenshot and any view may be bottom-cropped: the tool auto-detects cut title blocks, computes the missing scale from blue dimension chains, infers the sheet title from slug/position, derives the sheet number, and emits a complete reconstructed sheet (<prefix>-<slug>-reconstructed.pdf/png). Safe to pass on every screenshot run — skips cleanly when all TBs are complete.
- Use
--ocr-title-blocks to populate the manifest with each title block's own text (sheet_title, sheet_number, scale, ...) for downstream reporting. Optional; self-skips on low-resolution title blocks (phone screenshots), where you must read the crop visually instead — see Reporting results below.
Reporting results
When you describe the split sheet to the user, derive every fact from the sheet's own text and geometry — never from the drawing's visual silhouette. The most common failure on this tool is shape-based genre guessing (e.g. calling a stage-lighting plot an "RV floor plan" because the fixtures sit in rows). Follow these rules so the description is consistent regardless of which model is running:
- Read labels from the title block, not the picture. Each view's discipline label (PLAN VIEW, SIDE ELEVATION, FRONT ELEVATION, SECTION, etc.) is printed in its title block's "Sheet Title" row. Read it from the extracted title-block crop (or from
title_block_ocr.fields.sheet_title in the manifest when --ocr-title-blocks populated it). Do not infer the label from how the drawing looks.
- OCR is a convenience, not the source of truth.
--ocr-title-blocks populates fields only on high-resolution sheets; on low-resolution crops it returns skipped_low_res. When OCR is skipped or absent, read the title-block crop image directly — your own reading of the crop is more reliable than OCR on small rendered text.
- Identify the actual subject from the legend/key, and read quantities as data. The legend lists what the fixtures/symbols are (e.g. "Ayrton Rivale Profile", "Chauvet Color Strike M"). Use it to name the domain correctly instead of guessing from shapes. When the user wants the parts list, pass
--ocr-legend and report the structured quantities from legend_bom / the run manifest rather than eyeballing the box — the most common BOM error is a mis-counted quantity (e.g. reading "Ayrton x6" as "x8") or a dropped sub-line (e.g. one of two pole lengths). Cross-check against the legend crop, since label text can carry minor OCR noise.
- Treat each panel independently. Do not assume all views on one sheet share a subject — check each view's own header/title block. A single sheet can mix variants (e.g. a US rig and a UK/EU rig).
- Flag truncation; never paper over it. If a title block is shorter than the others (a screenshot crop), its lower fields are missing. The tool now prints a
[truncation] warning on every run and records it in the run manifest — surface it, and note that --reconstruct-titleblock can rebuild the rows, but that reconstructed Sheet Title/Number/Scale are inferred, not read. Never report a cropped sheet as a complete one.
- Report optional-region absence as neutral inventory. "Legend present on 1 of 3 views" — not a success/failure rate. A legend that does not exist in the source is not a detection failure.
- State derivation vs. measurement. Distinguish values read from the sheet (measured) from values the tool inferred (reconstructed/positional). The run manifest tags each —
field_provenance and per-view scale_provenance — so carry that distinction through. Reconstructed scale assumes the reference view's scale (default 1:15 unless you pass --reference-scale); say so.
Filename rules
All generated filenames must be stable, URL-safe, and iOS-friendly.
Allowed:
- lowercase ASCII letters:
a-z
- digits:
0-9
- hyphens:
-
- extensions:
.pdf, .png, .zip, .json inside ZIP manifests only
Forbidden:
- spaces
- parentheses:
( )
- underscores:
_
- punctuation except the extension dot
- emoji
- non-ASCII/unicode characters
- uppercase letters
Default full-view naming:
<input-stem>-view-01.pdf
<input-stem>-view-02.pdf
<input-stem>-view-03.pdf
<input-stem>-views.zip
Extraction naming:
<input-stem>-view-01-drawing.pdf
<input-stem>-view-01-title-block.pdf
<input-stem>-drawings.zip
<input-stem>-title-blocks.zip
Clean-drawing and legend naming:
<input-stem>-view-01-clean.pdf
<input-stem>-view-01-legend.pdf
<input-stem>-clean-drawings.zip
<input-stem>-legends.zip
Scalable SVG naming:
<input-stem>-view-01-clean.svg
<input-stem>-view-01-linework.svg
<input-stem>-view-01-dimensions.svg
<input-stem>-view-01-accents.svg
<input-stem>-clean-svg.zip
With --png, matching PNG mirrors are added.
Example input:
IMG_0382(1).PNG
Generated output with --png --extract-title-blocks --debug-overlays:
img-0382-1-view-01.pdf
img-0382-1-view-01.png
img-0382-1-view-01-drawing.pdf
img-0382-1-view-01-drawing.png
img-0382-1-view-01-title-block.pdf
img-0382-1-view-01-title-block.png
img-0382-1-view-01-debug.png
img-0382-1-views.zip
img-0382-1-drawings.zip
img-0382-1-title-blocks.zip
img-0382-1-debug-overlays.zip
Minimal invocation
pip install pillow reportlab numpy pymupdf --break-system-packages -q
python "${CLAUDE_PLUGIN_ROOT}/scripts/split_the_views.py"
iOS-friendly invocation
pip install pillow reportlab numpy pymupdf --break-system-packages -q
python "${CLAUDE_PLUGIN_ROOT}/scripts/split_the_views.py" --png
Extract drawings and title blocks from the original image
pip install pillow reportlab numpy pymupdf --break-system-packages -q
python "${CLAUDE_PLUGIN_ROOT}/scripts/split_the_views.py" \
--png \
--extract-title-blocks \
--debug-overlays
Default extraction ZIPs:
<input-stem>-drawings.zip
<input-stem>-title-blocks.zip
Optional per-view packages:
python "${CLAUDE_PLUGIN_ROOT}/scripts/split_the_views.py" \
--png \
--extract-title-blocks \
--debug-overlays \
--per-view-zips
Emit clean drawings and extract the legend
pip install pillow reportlab numpy pymupdf --break-system-packages -q
python "${CLAUDE_PLUGIN_ROOT}/scripts/split_the_views.py" \
--png \
--strip-header-footer \
--extract-legend
Clean/legend ZIPs:
<input-stem>-clean-drawings.zip
<input-stem>-legends.zip
--strip-header-footer removes the top sheet-title band and the bottom view-label/scale band while preserving connected drawing geometry. --extract-legend crops the gray key box and reports no legend detected for views without one. The two can be combined with --extract-title-blocks in a single run.
Vectorize clean drawings to scalable SVG
pip install vtracer --break-system-packages -q
python "${CLAUDE_PLUGIN_ROOT}/scripts/split_the_views.py" \
--svg \
--svg-layers
SVG ZIP:
<input-stem>-clean-svg.zip
--svg traces each clean drawing into a scalable SVG (viewBox + 100% sizing) with elements grouped into layer-linework, layer-dimensions, and layer-accents; every contour is an addressable <path id=...>. --svg implies --strip-header-footer and --extract-legend so the legend is masked before tracing. --svg-layers also emits each layer as a standalone SVG; --svg-upscale N tunes trace resolution (default 3). Requires vtracer; without it the SVG step is skipped with an install hint and other outputs are unaffected.
Because the source sheets are raster screenshots, this is a true raster→vector trace: elements are extracted by color layer, not per object. In elevations, fixtures/poles touch the common ground line and cannot be separated from a raster — for per-object geometry and editable dimension text, export SVG directly from the source CAD file.
Extract from three existing split PDFs or PNGs
python "${CLAUDE_PLUGIN_ROOT}/scripts/split_the_views.py" \
--inputs view-01.pdf view-02.pdf view-03.pdf \
--prefix img-0382-1 \
--png \
--extract-title-blocks \
--debug-overlays
Each input is treated as one view. PDF inputs are rasterized internally for detection.
Manual title-block override
If the auto-detected title-block boundary is wrong, rerun with a manual x-coordinate from the debug overlay:
python "${CLAUDE_PLUGIN_ROOT}/scripts/split_the_views.py" \
--png \
--extract-title-blocks \
--title-block-start-x 1041
Pipeline
1. LOAD -> read image/PDF input(s)
2. DETECT -> find horizontal separator bands for original sheet images
3. SPLIT -> crop each view as-is
4. EXTRACT -> optional drawing/title-block extraction
5. CLEAN -> optional sheet-title/view-label band stripping and legend extraction
6. VECTORIZE -> optional scalable, layer-grouped SVG tracing of clean drawings
7. REVIEW -> check panel count, ink density, and detected title-block line
8. OUTPUT -> safe PDFs, optional PNGs, SVGs, master ZIPs, optional per-view ZIPs
No drawing geometry is redrawn. Extraction is crop-based and auditable through debug overlays.
1.3.1 crop QA note
Drawing-only crops strip full-span edge rule/page-break artifacts before final trimming. This prevents a horizontal sheet-break line or left border line from becoming the crop boundary while preserving actual drawing geometry.
1.4.0 clean/legend QA note
Header/footer stripping is conservative: a band is removed only when it is thin, sits in the outer header/footer zone, and is separated from the drawing body by a clean whitespace gap; it refuses to over-trim. Cut edges are advanced through faint anti-alias fringe so no ghost line of the title/label survives. Legend detection uses a solid-fill test that ignores thin antialiased lines and merges adjacent key-box cells; non-matching views are skipped with no legend detected. New outputs are additive — existing full-view and title-block artifacts are unchanged when the new flags are not passed.
1.5.0 SVG QA note
SVGs are resolution-independent (viewBox + width="100%" height="100%" + preserveAspectRatio) and verified by rasterizing the output at multiple widths with a constant aspect ratio. Each color layer is traced once (polygon mode, solid-fill) so linework stays sharp and layer-linework/layer-dimensions/layer-accents are cleanly separable, with each contour an addressable <path id=...>. Layer fills use fixed CAD-convention colors because antialiased medians wash out at upscale. vtracer is optional; when absent, --svg is skipped with an install hint and all other artifacts are unaffected. The trace is raster-based and color-grouped, not per-object — per-fixture separation and editable dimension text require the source CAD file.
