Agent skill
processing-documents
Processes PDF, DOCX, XLSX, PPTX documents including analysis, summarization, and format conversion. Use for "문서 분석", "PDF 변환", "Excel 추출", "문서 요약" requests or when working with office documents.
Install this agent skill to your Project
npx add-skill https://github.com/jiunbae/agent-skills/tree/main/business/document-processor
SKILL.md
Document Processor
Analyze, summarize, and convert office documents.
Supported Formats
| Format | Read | Write | Tools |
|---|---|---|---|
| ✅ | ✅ | pdfplumber, pypdf | |
| DOCX | ✅ | ✅ | python-docx |
| XLSX | ✅ | ✅ | openpyxl |
| PPTX | ✅ | ✅ | python-pptx |
Quick Reference
PDF Text Extraction
import pdfplumber
with pdfplumber.open("doc.pdf") as pdf:
text = "\n".join(p.extract_text() for p in pdf.pages)
Excel Reading
import openpyxl
wb = openpyxl.load_workbook("data.xlsx")
ws = wb.active
data = [[cell.value for cell in row] for row in ws.iter_rows()]
Word Document
from docx import Document
doc = Document("report.docx")
text = "\n".join(p.text for p in doc.paragraphs)
Workflows
Summarize PDF
- Extract text with pdfplumber
- Pass to Claude for summarization
- Output markdown summary
Convert Excel to CSV
import pandas as pd
df = pd.read_excel("data.xlsx")
df.to_csv("data.csv", index=False)
Extract Tables from PDF
with pdfplumber.open("doc.pdf") as pdf:
tables = pdf.pages[0].extract_tables()
Best Practices
- Use pdfplumber for complex PDFs (tables, layouts)
- Use pypdf for simple text extraction
- Convert to markdown for AI processing
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
implementing-in-background
Orchestrates multiple AI agents (Claude, Codex, Gemini) for parallel implementation in the background. Separates independent tasks from planning docs, each agent writes code directly. Context-safe with auto-save. Use for "백그라운드 구현", "bg impl", "병렬 구현", "Codex로 구현", "구현해줘", "코드 작성해줘" requests.
review-fix-loop
Autonomous review-fix cycle that continuously reviews code using background-reviewer, fixes issues, and repeats until all findings are resolved. Use for "리뷰 루프", "자동 개선", "review fix loop", "리뷰 반복", "코드 개선 루프", "keep reviewing" requests.
planning-in-background
Orchestrates multiple AI agents (Claude, Codex, Gemini) for parallel planning in the background with auto-save. Agents continue running even when session hits context limits. Use for "백그라운드 기획", "bg plan", "병렬 기획", "멀티 AI 기획", "기획해줘", "N명이 기획", "계획", "플래닝", "plan", "설계" requests.
background-reviewer
Orchestrates multi-LLM parallel code review using Claude, Codex, and Gemini. Each agent reviews from a different perspective using agent personas (security, architecture, code quality, performance). Supports persona-based review via `agt persona review`. Use for "코드 리뷰", "리뷰해줘", "bg review", "멀티 리뷰", "background review", "페르소나 리뷰" requests.
managing-context
Discovers and loads relevant project context from markdown documentation before each task. Matches context documents based on keywords, file paths, and task types. Use at task start to access project plans, architecture, and implementation status.
indexing-static-context
Provides an index of global static context files in ~/.agents/. Returns appropriate static file paths for natural language queries like "내 정보", "보안 규칙". Use when other skills or agents need to locate reference information.
Didn't find tool you were looking for?