Notre avis
Cette compétence extrait le texte de fichiers PDF, remplit des formulaires et fusionne des documents en utilisant des scripts Python.
Points forts
- Automatisation de tâches répétitives sur des PDF
- Validation intégrée pour garantir l'intégrité des données extraites
- Support des formulaires PDF (champs textuels)
Limites
- Nécessite l'installation des dépendances pypdf et pdfplumber
- Peut ne pas gérer tous les PDF complexes (images, tableaux)
Utilisez cette compétence lorsque vous devez traiter par lots des PDF ou extraire des données structurées de documents.
Évitez cette compétence pour des PDF hautement scannés ou des documents nécessitant une reconnaissance optique de caractères (OCR).
Analyse de sécurité
SûrThe skill is a template containing only static documentation and a harmless Python script that reads PDF metadata. There are no destructive commands, no network calls, and no obfuscation. It poses no execution risk.
Aucun point d'attention détecté
Exemples
Extract text from the file report.pdf and save it to report.txt.Analyze the structure of the file invoice.pdf, including page count and form fields.Fill the form fields in the file application.pdf with the data from data.json and save the output as filled_application.pdf.Code Skill Template
스크립트를 포함하는 스킬용
디렉토리 구조
my-code-skill/
├── SKILL.md
├── reference.md
└── scripts/
├── analyze.py
├── process.py
└── validate.py
SKILL.md 예시
---
name: processing-pdfs
description: "Extracts text from PDFs, fills forms, merges documents. Use when working with PDF files or document extraction."
allowed-tools:
- Bash
- Read
- Write
---
# PDF Processing
## Quick start
Extract text:
```bash
python scripts/extract_text.py input.pdf > output.txt
Workflow
Copy this checklist:
Progress:
- [ ] Step 1: Analyze PDF structure
- [ ] Step 2: Extract content
- [ ] Step 3: Validate output
Step 1: Analyze PDF
python scripts/analyze.py input.pdf
Output shows page count, form fields, and structure.
Step 2: Extract content
python scripts/extract_text.py input.pdf > output.txt
Step 3: Validate
python scripts/validate.py output.txt
Fix any issues before proceeding.
Scripts reference
| Script | Purpose | |--------|---------| | analyze.py | PDF 구조 분석 | | extract_text.py | 텍스트 추출 | | fill_form.py | 폼 필드 채우기 | | validate.py | 결과 검증 |
For detailed API: See reference.md
Dependencies
pip install pypdf pdfplumber
---
## scripts/analyze.py 예시
```python
#!/usr/bin/env python3
"""
analyze.py - PDF 구조 분석
Usage:
python analyze.py input.pdf
Output:
- Page count
- Form fields
- Text/image ratio
"""
import sys
import json
from pypdf import PdfReader
def main():
if len(sys.argv) != 2:
print("Usage: python analyze.py input.pdf", file=sys.stderr)
sys.exit(1)
pdf_path = sys.argv[1]
try:
reader = PdfReader(pdf_path)
except Exception as e:
print(f"Error reading PDF: {e}", file=sys.stderr)
sys.exit(1)
result = {
"page_count": len(reader.pages),
"form_fields": [],
"has_text": False
}
# Form fields
if reader.get_form_text_fields():
result["form_fields"] = list(reader.get_form_text_fields().keys())
# Check for text
for page in reader.pages:
if page.extract_text().strip():
result["has_text"] = True
break
print(json.dumps(result, indent=2))
if __name__ == "__main__":
main()
핵심 포인트
- 워크플로우 체크리스트: 진행 추적
- 피드백 루프: 검증 → 수정 → 재검증
- 스크립트 문서화: Usage, Output 명시
- 에러 직접 처리: Claude에 떠넘기지 않기
- 의존성 명시: pip install 명령 포함
Ingénierie de Prompts
Data & IA
Bonnes pratiques et templates de prompt engineering pour maximiser les résultats IA.
Visualisation de Données
Data & IA
Génère des visualisations de données et graphiques adaptés à vos données.
Architecture RAG
Data & IA
Guide de configuration d'architectures RAG (Retrieval-Augmented Generation).