mirror of https://git.openapi.site/https://github.com/desirecore/market.git synced 2026-10-21 07:04:05 +08:00

Files

Yige 8f7953948f fix: 补齐市场静态事实并保持旧客户端兼容 (#184 )

## 中文

补齐已有 owner 与已锁定上游内容可证明的许可证、技能类型和收录版本。保留 Anthropic Source Available
和其他附加条件，不把所有内容统一标为 MIT，不提升 listing-only 的安装准入。

README 保留最新的双语结构及以 manifest 为准的数量口径，增加静态目录不存访问量、下载量、评分或 Stars 的边界。

发布兼容性：**本 PR 不包含**两支团队新增的本地化字段，也不包含微信支付 `latestVersion:
1.0`；旧客户端会拒绝这些新字段，另以待发布 PR 保留，等匹配客户端发布后再合并。

验证：47 项目录校验测试、19 项 i18n 测试、5 项合集生成测试通过；完整目录/i18n/翻译新鲜度检查通过，6
个固定来源合集的生成检查通过，2 个浮动来源按既有规则明确跳过。发现并修复了生成器在 Windows 使用反斜杠造成的误报：输出改为 POSIX
路径，比较规则不放宽、不重写合集数据。

## English

Fill only license, type and listed-release facts supported by existing
owners or pinned upstream content. Preserve custom license restrictions
and acquisition eligibility. Keep the current bilingual README and
manifest-derived inventory; do not author usage analytics.

This PR deliberately excludes localized team fields and the two-part
WeChat Pay version that older clients reject. Those changes remain
pending a compatible client release.

Validation passes: 47 catalog-validator tests, 19 i18n tests, five
collection-generator tests, complete catalog and translation checks, and
generated inventory checks for six pinned collections. Two mutable
sources remain explicitly skipped. Fix Windows-generated path separators
without weakening comparison or changing declared children.

2026-09-22 01:09:03 +08:00

13 KiB

Raw Blame History

license, name, description, version, type, risk_level, status, disable-model-invocation, tags, metadata, market

license

name

description

version

type

risk_level

status

disable-model-invocation

pdf skill

L0: One-Sentence Summary

Read, create, merge, split, and fill PDF documents, with OCR support and command-line tools.

L1: Overview and Use Cases

Capability Description

pdf is a Procedural Skill that provides full PDF document processing capabilities. Built on Python libraries (pypdf, pdfplumber, reportlab) and command-line tools (qpdf, pdftotext, pdftk), it supports text extraction, table extraction, merging/splitting, rotation, watermarking, encryption, form filling, and OCR.

Use Cases

The user needs to extract text or table data from a PDF
The user needs to merge multiple PDFs or split pages
The user needs to create a new PDF document
The user needs to fill PDF forms, add watermarks, or encrypt PDFs

L2: Detailed Specification

Prerequisites

Python 3 (required)

Before performing any Python operation, check that Python is available:

python3 --version 2>/dev/null || python --version 2>/dev/null

If the command fails (Python is not available), you must stop and tell the user to install Python 3:

macOS: brew install python3, or download from https://www.python.org/downloads/
Windows: winget install Python.Python.3, or download from python.org (check "Add Python to PATH" during installation)
Linux (Debian/Ubuntu): sudo apt install python3 python3-pip
Linux (Fedora/RHEL): sudo dnf install python3 python3-pip

For more detailed environment setup help: load the python-runtime skill for Python issues; load the dev-environment-setup skill for everything else (system tools like poppler / tesseract, containers / WSL).

Python Package Dependencies

This skill depends on the following Python packages (checked on demand):

pypdf — Basic PDF operations (read, merge, split, rotate)
pdfplumber — Table extraction, layout-aware text extraction
Pillow — Image processing (watermarks, verification images, etc.)
reportlab — PDF creation (optional, install on demand)
pdf2image — PDF-to-image conversion (optional, requires poppler)

Core package check:

python3 -c "import pypdf; import pdfplumber; import PIL" 2>/dev/null || echo "MISSING"

If missing, tell the user to install: pip install pypdf pdfplumber Pillow

Output Rule

When you create or modify a .pdf file, you MUST tell the user the absolute path of the output file in your response. Example: "File saved to: /path/to/output.pdf"

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

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

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

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

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

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

import pdfplumber

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

Extract Tables

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

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

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

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

IMPORTANT: Never use Unicode subscript/superscript characters (₀₁₂₃₄₅₆₇₈₉, ⁰¹²³⁴⁵⁶⁷⁸⁹) in ReportLab PDFs. The built-in fonts do not include these glyphs, causing them to render as solid black boxes.

Instead, use ReportLab's XML markup tags in Paragraph objects:

from reportlab.platypus import Paragraph
from reportlab.lib.styles import getSampleStyleSheet

styles = getSampleStyleSheet()

# Subscripts: use <sub> tag
chemical = Paragraph("H<sub>2</sub>O", styles['Normal'])

# Superscripts: use <super> tag
squared = Paragraph("x<super>2</super> + y<super>2</super>", styles['Normal'])

For canvas-drawn text (not Paragraph objects), manually adjust font the size and position rather than using Unicode subscripts/superscripts.

Command-Line Tools

pdftotext (poppler-utils)

# Extract text
pdftotext input.pdf output.txt

# Extract text preserving layout
pdftotext -layout input.pdf output.txt

# Extract specific pages
pdftotext -f 1 -l 5 input.pdf output.txt  # Pages 1-5

qpdf

# Merge PDFs
qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf

# Split pages
qpdf input.pdf --pages . 1-5 -- pages1-5.pdf
qpdf input.pdf --pages . 6-10 -- pages6-10.pdf

# Rotate pages
qpdf input.pdf output.pdf --rotate=+90:1  # Rotate page 1 by 90 degrees

# Remove password
qpdf --password=mypassword --decrypt encrypted.pdf decrypted.pdf

pdftk (if available)

# Merge
pdftk file1.pdf file2.pdf cat output merged.pdf

# Split
pdftk input.pdf burst

# Rotate
pdftk input.pdf rotate 1east output rotated.pdf

Common Tasks

Extract Text from Scanned PDFs

# Requires: pip install pytesseract pdf2image
import pytesseract
from pdf2image import convert_from_path

# Convert PDF to images
images = convert_from_path('scanned.pdf')

# OCR each page
text = ""
for i, image in enumerate(images):
    text += f"Page {i+1}:\n"
    text += pytesseract.image_to_string(image)
    text += "\n\n"

print(text)

Add Watermark

from pypdf import PdfReader, PdfWriter

# Create watermark (or load existing)
watermark = PdfReader("watermark.pdf").pages[0]

# Apply to all pages
reader = PdfReader("document.pdf")
writer = PdfWriter()

for page in reader.pages:
    page.merge_page(watermark)
    writer.add_page(page)

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

Extract Images

# Using pdfimages (poppler-utils)
pdfimages -j input.pdf output_prefix

# This extracts all images as output_prefix-000.jpg, output_prefix-001.jpg, etc.

Password Protection

from pypdf import PdfReader, PdfWriter

reader = PdfReader("input.pdf")
writer = PdfWriter()

for page in reader.pages:
    writer.add_page(page)

# Add password
writer.encrypt("userpassword", "ownerpassword")

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

Quick Reference

Task	Best Tool	Command/Code
Merge PDFs	pypdf	`writer.add_page(page)`
Split PDFs	pypdf	One page per file
Extract text	pdfplumber	`page.extract_text()`
Extract tables	pdfplumber	`page.extract_tables()`
Create PDFs	reportlab	Canvas or Platypus
Command line merge	qpdf	`qpdf --empty --pages ...`
OCR scanned PDFs	pytesseract	Convert to image first
Fill PDF forms	pdf-lib or pypdf (see FORMS.md)	See FORMS.md

Next Steps

For advanced pypdfium2 usage, see REFERENCE.md
For JavaScript libraries (pdf-lib), see REFERENCE.md
If you need to fill out a PDF form, follow the instructions in FORMS.md
For troubleshooting guides, see REFERENCE.md

13 KiB Raw Blame History