技能版本 1.0.0

pdf

每当用户想要对PDF文件进行任何操作时,请使用此技能。这包括从PDF中读取或提取文本/表格、将多个PDF合并为一个、拆分PDF、旋转页面、添加水印、创建新的PDF、填写PDF表单、加密/解密PDF、提取图像以及对扫描的PDF进行OCR处理以使其可搜索。如果用户提到.pdf文件或要求生成一个,请使用此技能。

价格

免费

  • 安装:免费

在组织开通时一次性收取;再次读取清单或下载不重复收费。

以上为公开标价。你的组织可能有协议价,以控制台显示的价格为准。

如何使用

  1. 为组织安装

    开通即安装:组织固定使用开通时的版本(当前为 1.0.0)。升级到新版本需要取消后重新开通。

  2. 创建凭证

    客户端使用组织凭证读取;绑定到数字人后,数字人使用绑定凭证按需加载。请求中携带:

    Authorization: Bearer $ZGI_MARKET_KEY

  3. 读取清单与安装包

    清单列出版本、文件和校验值;安装包是一个 zip 文件。

    读取清单
    curl "https://market-api.zgi.im/v1/market/skills/anthropics-pdf-ee784810/manifest" \
      -H "Authorization: Bearer $ZGI_MARKET_KEY"
    下载安装包
    curl "https://market-api.zgi.im/v1/market/skills/anthropics-pdf-ee784810/package" \
      -H "Authorization: Bearer $ZGI_MARKET_KEY" \
      -o anthropics-pdf-ee784810.zip

    读取清单和下载安装包不计入用量。下载后请用响应头中的 SHA-256 校验文件。

技能说明

名称
pdf
说明
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
会运行代码Python

技能包内含脚本文件,加载技能的运行时可能会执行它们,安装前请先阅读。

SKILL.md 节选

# PDF Processing Guide

## Overview

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions.

## Quick Start

```python
from pypdf import PdfReader, PdfWriter

# Read a PDF
reader = PdfReader("document.pdf")
print(f"Pages: {len(reader.pages)}")

# Extract text
text = ""
for page in reader.pages:
    text += page.extract_text()
```

## Python Libraries

### pypdf - Basic Operations

#### Merge PDFs
```python
from pypdf import PdfWriter, PdfReader

writer = PdfWriter()
for pdf_file in ["doc1.pdf", "doc2.pdf", "doc3.pdf"]:
    reader = PdfReader(pdf_file)
    for page in reader.pages:
        writer.add_page(page)

with open("merged.pdf", "wb") as output:
    writer.write(output)
```

#### Split PDF
```python
reader = PdfReader("input.pdf")
for i, page in enumerate(reader.pages):
    writer = PdfWriter()
    writer.add_page(page)
    with open(f"page_{i+1}.pdf", "wb") as output:
        writer.write(output)
```

#### Extract Metadata
```python
reader = PdfReader("document.pdf")
meta = reader.metadata
print(f"Title: {meta.title}")
print(f"Author: {meta.author}")
print(f"Subject: {meta.subject}")
print(f"Creator: {meta.creator}")
```

#### Rotate Pages
```python
reader = PdfReader("input.pdf")
writer = PdfWriter()

page = reader.pages[0]
page.rotate(90)  # Rotate 90 degrees clockwise
writer.add_page(page)

with open("rotated.pdf", "wb") as output:
    writer.write(output)
```

### pdfplumber - Text and Table Extraction

#### Extract Text with Layout
```python
import pdfplumber

with pdfplumber.open("document.pdf") as pdf:
    for page in pdf.pages:
        text = page.extract_text()
        print(text)
```

#### Extract Tables
```python
with pdfplumber.open("document.pdf") as pdf:
    for i, page in enumerate(pdf.pages):
        tables = page.extract_tables()
        for j, table in enumerate(tables):
            print(f"Table {j+1} on page {i+1}:")
            for row in table:
                print(row)
```

#### Advanced Table Extraction
```python
import pandas as pd

with pdfplumber.open("document.pdf") as pdf:
    all_tables = []
    for page in pdf.pages:
        tables = page.extract_tables()
        for table in tables:
            if table:  # Check if table is not empty
                df = pd.DataFrame(table[1:], columns=table[0])
                all_tables.append(df)

# Combine all tables
if all_tables:
    combined_df = pd.concat(all_tables, ignore_index=True)
    combined_df.to_excel("extracted_tables.xlsx", index=False)
```

### reportlab - Create PDFs

#### Basic PDF Creation
```python
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas

c = canvas.Canvas("hello.pdf", pagesize=letter)
width, height = letter

# Add text
c.drawString(100, height - 100, "Hello World!")
c.drawString(100, height - 120, "This is a PDF created with reportlab")

# Add a line
c.line(100, height - 140, 400, height - 140)

# Save
c.save()
```

#### Create PDF with Multiple Pages
```python
from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak
from reportlab.lib.styles import getSampleStyleSheet

doc = SimpleDocTemplate("report.pdf", pagesize=letter)
styles = getSampleStyleSheet()
story = []

# Add content
title = Paragraph("Report Title", styles['Title'])
story.append(title)
story.append(Spacer(1, 12))

body = Paragraph("This is the body of the report. " * 20, styles['Normal'])
story.append(body)
story.append(PageBreak())

# Page 2
story.append(Paragraph("Page 2", styles['Heading1']))
story.append(Paragraph("Content for page 2", styles['Normal']))

# Build PDF
doc.build(story)
```

#### Subscripts and Superscripts

SKILL.md 不止这些内容,安装后可阅读全文。

技能包内容

共 12 个文件,合计 57.3 KiB

  • LICENSE.txt1.4 KiB
  • SKILL.md7.9 KiB
  • forms.md11.6 KiB
  • reference.md16.3 KiB
  • scripts/check_bounding_boxes.py2.7 KiB
  • scripts/check_fillable_fields.py268 B
  • scripts/convert_pdf_to_images.py1008 B
  • scripts/create_validation_image.py1.2 KiB
  • scripts/extract_form_field_info.py4.2 KiB
  • scripts/extract_form_structure.py3.9 KiB
  • scripts/fill_fillable_fields.py3.7 KiB
  • scripts/fill_pdf_form_with_annotations.py3.2 KiB

来源与审核

审核状态
尚未审核,内容来自上游来源
许可证
未说明

审核状态是平台对上架信息的记录,不构成对上游服务质量或可用性的担保。