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David-Li0406/meta-skill-evloving

Kit de herramientas completo para manipulación de PDFs: extracción de texto y tablas, creación de nuevos PDFs, combinación/división de documentos y manejo de formularios. Ideal para cuando Claude necesita rellenar formularios PDF o procesar, generar o analizar documentos PDF a escala.

¿Qué es meta-skill-evloving?

Este skill proporciona una guía completa y práctica para manipular archivos PDF utilizando Python y herramientas de línea de comandos. Está diseñado para agentes de IA como Claude Code, Cursor o Codex, permitiéndoles realizar operaciones como extraer texto y tablas, combinar y dividir documentos, crear nuevos PDFs, proteger con contraseña, añadir marcas de agua y hasta OCR en PDFs escaneados. El soporte incluye las bibliotecas Python `pypdf`, `pdfplumber` y `reportlab`, y herramientas CLI como `pdftotext`, `qpdf` y `pdftk`. También ofrece atajos para tareas comunes como la extracción de imágenes y el manejo de formularios (derivando a `forms.md` para casos específicos). La guía está estructurada con ejemplos de código listos para usar, tablas de referencia rápida y enlaces a documentación avanzada, lo que facilita que el agente ejecute flujos de trabajo complejos de PDF de forma autónoma y eficiente.

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

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Documentación

Guía de Procesamiento de PDFs

Resumen

Esta guía cubre operaciones esenciales para el procesamiento de PDFs utilizando bibliotecas Python y herramientas de línea de comandos. Para características avanzadas, bibliotecas JavaScript y ejemplos detallados, consulta reference.md. Si necesitas rellenar un formulario PDF, lee forms.md y sigue sus instrucciones.

Inicio Rápido

from pypdf import PdfReader, PdfWriter

# Leer un PDF
reader = PdfReader("documento.pdf")
print(f"Páginas: {len(reader.pages)}")

# Extraer texto
text = ""
for page in reader.pages:
    text += page.extract_text()

Bibliotecas Python

pypdf - Operaciones Básicas

Combinar 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("combinado.pdf", "wb") as output:
    writer.write(output)

Dividir PDF

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

Extraer Metadatos

reader = PdfReader("documento.pdf")
meta = reader.metadata
print(f"Título: {meta.title}")
print(f"Autor: {meta.author}")
print(f"Asunto: {meta.subject}")
print(f"Creador: {meta.creator}")

Rotar Páginas

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

page = reader.pages[0]
page.rotate(90)  # Rotar 90 grados en sentido horario
writer.add_page(page)

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

pdfplumber - Extracción de Texto y Tablas

Extraer Texto con Diseño

import pdfplumber

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

Extraer Tablas

with pdfplumber.open("documento.pdf") as pdf:
    for i, page in enumerate(pdf.pages):
        tables = page.extract_tables()
        for j, table in enumerate(tables):
            print(f"Tabla {j+1} en página {i+1}:")
            for row in table:
                print(row)

Extracción Avanzada de Tablas

import pandas as pd

with pdfplumber.open("documento.pdf") as pdf:
    all_tables = []
    for page in pdf.pages:
        tables = page.extract_tables()
        for table in tables:
            if table:  # Verificar que la tabla no esté vacía
                df = pd.DataFrame(table[1:], columns=table[0])
                all_tables.append(df)

# Combinar todas las tablas
if all_tables:
    combined_df = pd.concat(all_tables, ignore_index=True)
    combined_df.to_excel("tablas_extraidas.xlsx", index=False)

reportlab - Crear PDFs

Creación Básica de PDF

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

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

# Añadir texto
c.drawString(100, height - 100, "¡Hola Mundo!")
c.drawString(100, height - 120, "Este es un PDF creado con reportlab")

# Añadir una línea
c.line(100, height - 140, 400, height - 140)

# Guardar
c.save()

Crear PDF con Múltiples Páginas

from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak
from reportlab.lib.styles import getSampleStyleSheet

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

# Añadir contenido
title = Paragraph("Título del Informe", styles['Title'])
story.append(title)
story.append(Spacer(1, 12))

body = Paragraph("Este es el cuerpo del informe. " * 20, styles['Normal'])
story.append(body)
story.append(PageBreak())

# Página 2
story.append(Paragraph("Página 2", styles['Heading1']))
story.append(Paragraph("Contenido de la página 2", styles['Normal']))

# Construir PDF
doc.build(story)

Herramientas de Línea de Comandos

pdftotext (poppler-utils)

# Extraer texto
pdftotext input.pdf output.txt

# Extraer texto conservando el diseño
pdftotext -layout input.pdf output.txt

# Extraer páginas específicas
pdftotext -f 1 -l 5 input.pdf output.txt  # Páginas 1-5

qpdf

# Combinar PDFs
qpdf --empty --pages archivo1.pdf archivo2.pdf -- combinado.pdf

# Dividir páginas
qpdf input.pdf --pages . 1-5 -- paginas1-5.pdf
qpdf input.pdf --pages . 6-10 -- paginas6-10.pdf

# Rotar páginas
qpdf input.pdf output.pdf --rotate=+90:1  # Rotar página 1 90 grados

# Eliminar contraseña
qpdf --password=micontraseña --decrypt encriptado.pdf desencriptado.pdf

pdftk (si está disponible)

# Combinar
 pdftk archivo1.pdf archivo2.pdf cat output combinado.pdf

# Dividir
 pdftk input.pdf burst

# Rotar
 pdftk input.pdf rotate 1east output rotado.pdf

Tareas Comunes

Extraer Texto de PDFs Escaneados

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

# Convertir PDF a imágenes
images = convert_from_path('escaneado.pdf')

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

print(text)

Añadir Marca de Agua

from pypdf import PdfReader, PdfWriter

# Crear marca de agua (o cargar existente)
watermark = PdfReader("marca_de_agua.pdf").pages[0]

# Aplicar a todas las páginas
reader = PdfReader("documento.pdf")
writer = PdfWriter()

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

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

Extraer Imágenes

# Usando pdfimages (poppler-utils)
pdfimages -j input.pdf prefijo_salida

# Esto extrae todas las imágenes como prefijo_salida-000.jpg, prefijo_salida-001.jpg, etc.

Protección por Contraseña

from pypdf import PdfReader, PdfWriter

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

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

# Añadir contraseña
writer.encrypt("contraseña_usuario", "contraseña_propietario")

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

Referencia Rápida

TareaMejor HerramientaComando/Código
Combinar PDFspypdfwriter.add_page(page)
Dividir PDFspypdfUna página por archivo
Extraer textopdfplumberpage.extract_text()
Extraer tablaspdfplumberpage.extract_tables()
Crear PDFsreportlabCanvas o Platypus
Combinar por línea de comandosqpdfqpdf --empty --pages ...
OCR de PDFs escaneadospytesseractConvertir a imagen primero
Rellenar formularios PDFpdf-lib o pypdf (ver forms.md)Ver forms.md

Próximos Pasos

  • Para uso avanzado de pypdfium2, consulta reference.md
  • Para bibliotecas JavaScript (pdf-lib), consulta reference.md
  • Si necesitas rellenar un formulario PDF, sigue las instrucciones en forms.md
  • Para guías de resolución de problemas, consulta 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".

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