create-pdf-fixture
Create complete PDF test fixtures combining ReportLab tables and AI-generated images. Orchestrates create-table and create-image skills. Creates PDFs designed to test/expose extractor bugs.
معلومات المصدر
- المستودع
- grahama1970/agent-stack-public
- آخر نشاط في المصدر
- ٢٤ سبتمبر ٢٠٢٦ في ١٥:٥١
- لغة SKILL.md المكتشفة
- الإنجليزية
- النجوم
- ٠
- التفرعات
- ٠
خيارات التثبيت
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
مراجعة ملفات المصدر
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
مستكشف الملفات
5 ملفاتعرض SKILL.md
SKILL.md
تعليمات المصدر · معاينة للقراءة فقط- name
- create-pdf-fixture
- description
- Create complete PDF test fixtures combining ReportLab tables and AI-generated images. Orchestrates create-table and create-image skills. Creates PDFs designed to test/expose extractor bugs.
- allowed-tools
- Bash, Read, Write
- triggers
- ["create pdf fixture","create test pdf","generate pdf fixture","make test pdf","pdf for testing","extractor test fixture","bug reproduction pdf"]
- metadata
- {"short-description":"Create PDF test fixtures (tables + images)"}
- provides
- ["create-pdf-fixture"]
- composes
- ["task-monitor","agentic-evals"]
- disciplines
- ["extraction","evaluation-quality"]
# create-pdf-fixture
Generate complete PDF test fixtures that combine:
- **Proper ReportLab tables** via `create-table` (detectable by Marker/Camelot)
- **AI-generated images** via `create-image` (diagrams, decorative elements)
- **Text content** with various formatting challenges
## Why This Exists
Creating test PDFs that properly exercise extractors requires:
1. Tables built with ReportLab (not raw drawing commands)
2. Images that test VLM classification (decorative vs data)
3. Edge cases: empty sections, malformed titles, nested structures
This skill orchestrates sibling skills for modular, reusable fixtures.
## Quick Start
```bash
cd .pi/skills/create-pdf-fixture
# Generate the extractor bug reproduction fixture
uv run generate.py extractor-bugs --output test.pdf
# Generate a simple fixture
uv run generate.py simple --output simple_test.pdf
# List available presets
uv run generate.py list-presets
# Verify table detection
uv run generate.py verify test.pdf
```
## Presets
| Preset | Description | Tests |
|--------|-------------|-------|
| `extractor-bugs` | Reproduces known extractor issues | Empty sections, false tables, malformed titles |
| `simple` | Basic PDF with table and text | Basic extraction |
## Sibling Skills Used
| Skill | Purpose |
|-------|---------|
| `create-table` | Creates ReportLab tables (Marker-detectable) |
| `create-image` | AI-generated images with caching |
Cached images from `create-image/cached_images/`:
- `decorative.png` - Cover illustration
- `flowchart.png` - Process diagram
- `network_arch.png` - Architecture diagram
## Legacy Usage (Still Supported)
```bash
# Via wrapper (uses extractor project)
./run.sh --example --name test_fixture
./run.sh --spec content_spec.json --name my_fixture
```
## JSON Spec Format (Legacy)
```json
{
"style": "standard",
"sections": [
{
"title": "1. Requirements",
"level": 1,
"content": [
{"type": "text", "text": "This document describes requirements."},
{"type": "table", "columns": ["ID", "Name"], "rows": [["1", "Alice"]]},
{"type": "figure", "description": "Architecture diagram"}
]
}
]
}
```
## Output
- `extractor_bugs_fixture.pdf` - Cached in `cached_fixtures/`
- Custom output via `--output` flag
## Dependencies
```toml
dependencies = [
"pymupdf>=1.23.0",
"reportlab>=4.0.0",
"typer>=0.9.0",
"pillow>=10.0.0",
]
```
عرض على GitHub