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David-Li0406/meta-skill-evloving

全面的PDF操作工具包,支持文本和表格提取、创建新PDF、合并/拆分文档以及处理表单。当需要填写PDF表单或批量程序化处理、生成、分析PDF文档时使用。

meta-skill-evloving 是什么?

这是一个功能全面的PDF处理技能,专为开发者设计,可在多种AI代理平台(如Claude Code、Cursor、Codex)上使用。它通过Python库和命令行工具提供核心PDF操作能力:使用pypdf进行基本的合并、拆分、旋转、加水印和密码保护;使用pdfplumber提取文本和表格(支持导出为Excel);使用reportlab创建包含多页面和样式的PDF。此外,还集成了pdftotext、qpdf、pdftk等命令行工具,以及针对扫描PDF的OCR(pytesseract+pdf2image)支持。该技能特别强调表单处理(需参考forms.md),并提供了常用任务的快速参考表。其工作流程清晰:根据任务选择最佳工具,从Python脚本到命令行操作,覆盖从简单文本提取到复杂PDF生成的整个生命周期。

兼容平台✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/David-Li0406/meta-skill-evloving/tree/HEAD/AgentSkillOS/data/skill_seeds/pdf

在你喜欢的 AI 中提问

打开一个已预加载此 Agent Skill 的新对话。

文档

PDF 处理指南

概述

本指南介绍了使用 Python 库和命令行工具进行 PDF 基本操作的方法。有关高级功能、JavaScript 库和详细示例,请参阅 reference.md。如果您需要填写 PDF 表单,请阅读 forms.md 并遵循其说明。

快速开始

from pypdf import PdfReader, PdfWriter

# 读取 PDF
reader = PdfReader("document.pdf")
print(f"页数: {len(reader.pages)}")

# 提取文本
text = ""
for page in reader.pages:
    text += page.extract_text()

Python 库

pypdf - 基本操作

合并 PDF

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)

拆分 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)

提取元数据

reader = PdfReader("document.pdf")
meta = reader.metadata
print(f"标题: {meta.title}")
print(f"作者: {meta.author}")
print(f"主题: {meta.subject}")
print(f"创建者: {meta.creator}")

旋转页面

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

page = reader.pages[0]
page.rotate(90)  # 顺时针旋转 90 度
writer.add_page(page)

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

pdfplumber - 文本和表格提取

按布局提取文本

import pdfplumber

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

提取表格

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"第 {i+1} 页上的表格 {j+1}:")
            for row in table:
                print(row)

高级表格提取

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:  # 检查表格是否不为空
                df = pd.DataFrame(table[1:], columns=table[0])
                all_tables.append(df)

# 合并所有表格
if all_tables:
    combined_df = pd.concat(all_tables, ignore_index=True)
    combined_df.to_excel("extracted_tables.xlsx", index=False)

reportlab - 创建 PDF

基本 PDF 创建

from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas

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

# 添加文本
c.drawString(100, height - 100, "Hello World!")
c.drawString(100, height - 120, "这是用 reportlab 创建的 PDF")

# 添加一条线
c.line(100, height - 140, 400, height - 140)

# 保存
c.save()

创建多页 PDF

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 = []

# 添加内容
title = Paragraph("报告标题", styles['Title'])
story.append(title)
story.append(Spacer(1, 12))

body = Paragraph("这是报告正文。" * 20, styles['Normal'])
story.append(body)
story.append(PageBreak())

# 第 2 页
story.append(Paragraph("第 2 页", styles['Heading1']))
story.append(Paragraph("第 2 页的内容", styles['Normal']))

# 构建 PDF
doc.build(story)

命令行工具

pdftotext (poppler-utils)

# 提取文本
pdftotext input.pdf output.txt

# 保持布局提取文本
pdftotext -layout input.pdf output.txt

# 提取特定页面
pdftotext -f 1 -l 5 input.pdf output.txt  # 第 1-5 页

qpdf

# 合并 PDF
qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf

# 拆分页面
qpdf input.pdf --pages . 1-5 -- pages1-5.pdf
qpdf input.pdf --pages . 6-10 -- pages6-10.pdf

# 旋转页面
qpdf input.pdf output.pdf --rotate=+90:1  # 将第 1 页旋转 90 度

# 移除密码
qpdf --password=mypassword --decrypt encrypted.pdf decrypted.pdf

pdftk (如果可用)

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

# 拆分
pdftk input.pdf burst

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

常见任务

从扫描件中提取文本

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

# 将 PDF 转换为图像
images = convert_from_path('scanned.pdf')

# 对每页进行 OCR
text = ""
for i, image in enumerate(images):
    text += f"第 {i+1} 页:\n"
    text += pytesseract.image_to_string(image)
    text += "\n\n"

print(text)

添加水印

from pypdf import PdfReader, PdfWriter

# 创建水印(或加载现有水印)
watermark = PdfReader("watermark.pdf").pages[0]

# 应用到所有页面
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)

提取图像

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

# 这将提取所有图像,命名为 output_prefix-000.jpg、output_prefix-001.jpg 等

密码保护

from pypdf import PdfReader, PdfWriter

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

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

# 添加密码
writer.encrypt("userpassword", "ownerpassword")

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

快速参考

任务最佳工具命令/代码
合并 PDFpypdfwriter.add_page(page)
拆分 PDFpypdf每页一个文件
提取文本pdfplumberpage.extract_text()
提取表格pdfplumberpage.extract_tables()
创建 PDFreportlabCanvas 或 Platypus
命令行合并qpdfqpdf --empty --pages ...
OCR 扫描件pytesseract先转换为图像
填写 PDF 表单pdf-lib 或 pypdf(见 forms.md)见 forms.md

下一步

  • 有关高级 pypdfium2 用法,请参阅 reference.md
  • 有关 JavaScript 库(pdf-lib),请参阅 reference.md
  • 如果您需要填写 PDF 表单,请遵循 forms.md 中的说明
  • 有关故障排除指南,请参阅 reference.md

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

David-Li0406/meta-skill-evloving

Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website", "log into", or any browser interaction request.

David-Li0406/meta-skill-evloving

Create technical diagrams using Mermaid syntax for architecture, sequences, ERDs, flowcharts, and state machines. Use for visualizing system design, data flows, and processes. Triggers: diagram, mermaid, architecture diagram, sequence diagram, flowchart, ERD, entity relationship, state diagram, C4 model, component diagram, visualize, draw.

David-Li0406/meta-skill-evloving

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks

David-Li0406/meta-skill-evloving

Complete color manipulation and green screen effects system. PROACTIVELY activate for: (1) Green screen/chromakey removal, (2) Color grading with LUTs, (3) Color correction (levels, curves, white balance), (4) Colorkey/color removal effects, (5) Hue/saturation manipulation, (6) Color space conversions (BT.709, BT.2020, HDR), (7) Color isolation effects, (8) Teal and orange look, (9) Vintage/film looks, (10) Color keying for transparency. Provides: chromakey and colorkey filters, LUT application (lut3d), curves and levels adjustment, color balance, selective color manipulation, color space handling, HDR tone mapping, professional color grading chains.

David-Li0406/meta-skill-evloving

Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.

David-Li0406/meta-skill-evloving

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

David-Li0406/meta-skill-evloving

Build with OpenAI's stateless APIs - Chat Completions (GPT-5, GPT-4o), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Includes Node.js SDK and fetch-based approaches for Cloudflare Workers. Use when: implementing chat completions with GPT-5/GPT-4o, streaming responses with SSE, using function calling/tools, creating structured outputs with JSON schemas, generating embeddings for RAG (text-embedding-3-small/large), generating images with DALL-E 3, editing images with GPT-Image-1, transcribing audio with Whisper, synthesizing speech with TTS (11 voices), moderating content (11 safety categories), or troubleshooting rate limits (429), invalid API keys (401), function calling failures, streaming parse errors, embeddings dimension mismatches, or token limit exceeded.

David-Li0406/meta-skill-evloving

Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks

David-Li0406/meta-skill-evloving

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

David-Li0406/meta-skill-evloving

Download YouTube videos with customizable quality and format options. Use this skill when the user asks to download, save, or grab YouTube videos. Supports various quality settings (best, 1080p, 720p, 480p, 360p), multiple formats (mp4, webm, mkv), and audio-only downloads as MP3.

David-Li0406/meta-skill-evloving

Best practices for Remotion - Video creation in React

David-Li0406/meta-skill-evloving

Provides bidirectional translation (Chinese/English), grammar checking, and sentence polishing. Supports specific tense constraints, context-aware tone adjustment, and natural expression optimization. Outputs direct text without formatting.

David-Li0406/meta-skill-evloving

指导如何通过自定义注解(如@Unicom)标识Dubbo接口,利用BeanDefinitionRegistryPostProcessor在启动时扫描并动态注册ReferenceBean,实现RPC调用的封装。

David-Li0406/meta-skill-evloving

生成Python脚本,利用FFmpeg将图片序列按3x3布局合并,或将合并图拆分。要求使用subprocess模块执行命令,并支持用户交互式输入路径。

David-Li0406/meta-skill-evloving

SOP for extracting and analyzing promotional activity details, handling time formatting, location mapping, payment logic, and step-by-step process validation.

David-Li0406/meta-skill-evloving

Specializes in creating TikTok short video scripts using an anthropomorphic 'Chef' perspective to explain wildlife food chains and survival environments, utilizing real field footage.

David-Li0406/meta-skill-evloving

针对TikTok平台,以拟人化视角(如动物作为厨师)创作系列短视频脚本。重点介绍野生动物、食物链及生态环境,要求使用野外实拍素材,风格幽默且具有教育意义。

David-Li0406/meta-skill-evloving

Generates KWL (Know, Want to know, Learned) charts for educational videos, specifically BrainPOP, using simple 7th-grade language and short, concise bullet points.

David-Li0406/meta-skill-evloving

Develops DAX measures to calculate promo and regular volumes and generates a calculated table of dates excluding continuous promo date ranges, handling multiple periods and nulls.

David-Li0406/meta-skill-evloving

Tracks complex, multi-session work using the Beads issue tracker and dependency graphs, and provides persistent memory that survives conversation compaction. Use when work spans multiple sessions, has complex dependencies, or needs persistent context across compaction cycles. Trigger with phrases like "create task for", "what's ready to work on", "show task", "track this work", "what's blocking", or "update status".

相关技能