create-table
Create PDF tables using ReportLab Table class for proper structure detection. Creates tables that Marker and other extractors can parse. Use when you need detectable tables in PDFs.
Quellinformationen
- Repository
- grahama1970/agent-stack-public
- Letzte Quellaktivität
- 24. September 2026 um 15:51
- Erkannte Sprache von SKILL.md
- Englisch
- Sterne
- 0
- Forks
- 0
Installationsoptionen
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau- name
- create-table
- description
- Create PDF tables using ReportLab Table class for proper structure detection. Creates tables that Marker and other extractors can parse. Use when you need detectable tables in PDFs.
- allowed-tools
- Bash, Read, Write
- triggers
- ["create table","create pdf table","generate table","make table","reportlab table","detectable table","table for extraction"]
- metadata
- {"short-description":"Create detectable PDF tables (ReportLab)"}
- provides
- ["create-table"]
- composes
- ["task-monitor","agentic-evals"]
- disciplines
- ["extraction","evaluation-quality"]
# create-table
Create 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
```bash
cd .pi/skills/create-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
```bash
uv run generate.py preset <name> [options]
```
| Preset | Description |
|--------|-------------|
| `simple` | 3x3 basic table |
| `medium` | 8-row requirements matrix with 6 columns |
| `complex` | Multi-index headers with column spans |
### `generate` - Create custom table
```bash
uv run generate.py generate [options]
```
**Options:**
| Option | Short | Description | Default |
|--------|-------|-------------|---------|
| `--output` | `-o` | Output PDF/PNG path | `table_fixture.pdf` |
| `--columns` | `-c` | Comma-separated column headers | `ID,Name,Value` |
| `--rows` | `-r` | JSON array of row data | 3 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
```bash
uv run generate.py example
```
Creates `examples/` directory with all presets, styles, and border variations.
## Multi-Index Tables
For hierarchical headers that span columns:
```bash
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}]]'
```
## Scanned Document Simulation
Generate table as a rasterized PNG image (for testing OCR/VLM extraction):
```bash
# 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:
```bash
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.
```toml
[project]
dependencies = [
"reportlab>=4.0.0",
"typer>=0.9.0",
"pymupdf>=1.23.0",
]
```
Auf GitHub ansehen