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claude-coderesearch

Claude-skill-registry fixture-table

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/fixture-table" ~/.claude/skills/majiayu000-claude-skill-registry-fixture-table && rm -rf "$T"
manifest: skills/data/fixture-table/SKILL.md
tags
#pdf-table#reportlab#table-extraction#fixture-generation#marker-detectable
source content

Fixture Table Skill

Generate PDF tables using ReportLab's 

Table
class that extractors (Marker, Camelot) can detect.

Why This Exists

PyMuPDF raw drawing commands (

draw_line
, 
insert_text
) create visual tables but not proper PDF table structures. Marker and other extractors cannot detect these as tables.

ReportLab's 

Table
class creates proper PDF table structures with cell boundaries that extraction tools recognize.

Quick Start

cd .codex/skills/fixture-table

# Generate from preset (simple, medium, complex)
uv run generate.py preset simple
uv run generate.py preset complex --output my_table.pdf

# Generate with custom data
uv run generate.py generate --output custom.pdf \
  --columns "ID,Name,Status" \
  --rows '[["1","Alice","Active"],["2","Bob","Pending"]]'

# Borderless table
uv run generate.py generate --no-border --output borderless.pdf

# Thick borders (3pt)
uv run generate.py generate --line-width 3 --output thick.pdf

# Render as image (for scanned document testing)
uv run generate.py preset medium --as-image --dpi 200

# Generate all examples
uv run generate.py example

Commands

preset
- Generate from preset complexity

uv run generate.py preset <name> [options]
PresetDescription
simple
3x3 basic table
medium
8-row requirements matrix with 6 columns
complex
Multi-index headers with column spans

generate
- Create custom table

uv run generate.py generate [options]

Options:

OptionShortDescriptionDefault
--output
-o
Output PDF/PNG path
table_fixture.pdf
--columns
-c
Comma-separated column headers
ID,Name,Value
--rows
-r
JSON array of row data3 sample rows
--spec
-s
JSON spec file path-
--title
-t
Table title text-
--style
grid
, 
plain
, 
colored
grid
--border/--no-border
Enable or disable borders
--border
--line-width
-w
Border thickness in points
1.0
--multi-index
-m
JSON multi-index headers-
--as-image
-i
Render as PNG image
False
--dpi
Image resolution
150

example
- Generate all examples

uv run generate.py example

Creates 

examples/
directory with all presets, styles, and border variations.

Multi-Index Tables

For hierarchical headers that span columns:

uv run generate.py generate \
  --columns "ID,Q1,Q2,Q3,Q4,Total" \
  --rows '[["A","10","20","30","40","100"]]' \
  --multi-index '[[{"text":"","span":1},{"text":"2024 Quarters","span":4},{"text":"","span":1}]]'

Or in JSON spec:

{
  "columns": ["ID", "Q1", "Q2", "Q3", "Q4", "Total"],
  "rows": [["A", "10", "20", "30", "40", "100"]],
  "multi_index": [
    [{"text": "", "span": 1}, {"text": "2024 Quarters", "span": 4}, {"text": "", "span": 1}]
  ]
}

Scanned Document Simulation

Generate table as a rasterized PNG image (for testing OCR/VLM extraction):

# 150 DPI (default)
uv run generate.py preset medium --as-image

# Higher quality (300 DPI)
uv run generate.py preset complex --as-image --dpi 300 --output scanned_table.png

Verification

Test that Camelot detects the table:

uv run generate.py preset simple --output test.pdf

python -c "
import camelot
tables = camelot.read_pdf('test.pdf', pages='1', flavor='lattice')
print(f'Tables found: {len(tables)}')
if tables:
    print(tables[0].df)
"

Dependencies

Self-contained via 

uv run
- no pre-installation needed.

[project]
dependencies = [
    "reportlab>=4.0.0",
    "typer>=0.9.0",
    "pymupdf>=1.23.0",
]