Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
PLS Office Docs
Create, read, edit, and extract content from PDF, DOCX, XLSX, and PPTX documents for professional reports, presentations, and data exports.
skill openclawclawhub Free
Create, read, edit, and extract content from PDF, DOCX, XLSX, and PPTX documents for professional reports, presentations, and data exports.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- mattvalenta
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Office Docs - Professional Document Generation
Comprehensive skill for creating and manipulating office documents. Handles PDF, DOCX, XLSX, and PPTX formats.
Quick Reference
FormatCreateReadEditPDFfpdf, reportlabpdfplumber, pymupdfpypdfDOCXpython-docxpython-docxpython-docxXLSXopenpyxl, pandasopenpyxl, pandasopenpyxlPPTXpython-pptxpython-pptxpython-pptx
Install
pip install fpdf reportlab pdfplumber pymupdf pypdf
Create PDF
from fpdf import FPDF pdf = FPDF() pdf.add_page() pdf.set_font("Helvetica", size=12) pdf.cell(0, 10, "Hello World", ln=True) pdf.output("document.pdf")
Create PDF with Images
from fpdf import FPDF pdf = FPDF() pdf.add_page() pdf.image("photo.jpg", x=10, y=10, w=100) pdf.output("with_image.pdf")
Extract Text from PDF
import pdfplumber with pdfplumber.open("document.pdf") as pdf: for page in pdf.pages: print(page.extract_text())
Merge PDFs
from pypdf import PdfMerger merger = PdfMerger() merger.append("file1.pdf") merger.append("file2.pdf") merger.write("merged.pdf") merger.close()
Split PDF
from pypdf import PdfReader, PdfWriter reader = PdfReader("document.pdf") writer = PdfWriter() for i in range(0, 5): # First 5 pages writer.add_page(reader.pages[i]) with open("split.pdf", "wb") as f: writer.write(f)
Install
pip install python-docx
Create Document
from docx import Document doc = Document() doc.add_heading("Report Title", level=0) doc.add_paragraph("This is a paragraph.") doc.add_paragraph("Bold text", style="Intense Quote") doc.save("report.docx")
Add Table
from docx import Document doc = Document() table = doc.add_table(rows=3, cols=2) table.style = "Table Grid" # Header row hdr_cells = table.rows[0].cells hdr_cells[0].text = "Name" hdr_cells[1].text = "Value" # Data rows row = table.rows[1].cells row[0].text = "Revenue" row[1].text = "$1,000,000" doc.save("table.docx")
Add Image
from docx import Document from docx.shared import Inches doc = Document() doc.add_picture("chart.png", width=Inches(5)) doc.save("with_image.docx")
Read Document
from docx import Document doc = Document("report.docx") for para in doc.paragraphs: print(para.text) for table in doc.tables: for row in table.rows: for cell in row.cells: print(cell.text)
Add Bullet List
from docx import Document doc = Document() doc.add_paragraph("Items:", style="List Bullet") doc.add_paragraph("First item", style="List Bullet") doc.add_paragraph("Second item", style="List Bullet") doc.save("bullets.docx")
Install
pip install openpyxl pandas xlsxwriter
Create Workbook
from openpyxl import Workbook wb = Workbook() ws = wb.active ws.title = "Sheet1" # Headers ws["A1"] = "Name" ws["B1"] = "Value" # Data ws["A2"] = "Revenue" ws["B2"] = 1000000 # Formula ws["A3"] = "Total" ws["B3"] = "=SUM(B2:B2)" wb.save("data.xlsx")
Create with Pandas
import pandas as pd df = pd.DataFrame({ "Name": ["Alice", "Bob", "Charlie"], "Score": [85, 92, 78] }) df.to_excel("scores.xlsx", index=False)
Add Charts
from openpyxl import Workbook from openpyxl.chart import BarChart, Reference wb = Workbook() ws = wb.active # Data ws["A1"] = "Month" ws["B1"] = "Sales" data = [("Jan", 100), ("Feb", 150), ("Mar", 200)] for i, (month, sales) in enumerate(data, 2): ws[f"A{i}"] = month ws[f"B{i}"] = sales # Chart chart = BarChart() chart.add_data(Reference(ws, min_col=2, min_row=1, max_row=4)) chart.set_categories(Reference(ws, min_col=1, min_row=2, max_row=4)) chart.title = "Monthly Sales" ws.add_chart(chart, "D1") wb.save("chart.xlsx")
Read Workbook
from openpyxl import load_workbook wb = load_workbook("data.xlsx") ws = wb.active for row in ws.iter_rows(values_only=True): print(row)
Format Cells
from openpyxl.styles import Font, PatternFill, Alignment from openpyxl import Workbook wb = Workbook() ws = wb.active # Bold header ws["A1"] = "Header" ws["A1"].font = Font(bold=True, size=14) # Background color ws["A1"].fill = PatternFill(start_color="4472C4", fill_type="solid") ws["A1"].font = Font(color="FFFFFF", bold=True) # Center align ws["A1"].alignment = Alignment(horizontal="center") wb.save("formatted.xlsx")
Install
pip install python-pptx
Create Presentation
from pptx import Presentation from pptx.util import Inches, Pt prs = Presentation() # Title slide slide_layout = prs.slide_layouts[0] slide = prs.slides.add_slide(slide_layout) title = slide.shapes.title subtitle = slide.placeholders[1] title.text = "Presentation Title" subtitle.text = "Subtitle here" prs.save("presentation.pptx")
Add Bullet Slide
from pptx import Presentation from pptx.util import Inches prs = Presentation() slide_layout = prs.slide_layouts[1] # Title and Content slide = prs.slides.add_slide(slide_layout) title = slide.shapes.title title.text = "Key Points" body = slide.placeholders[1] tf = body.text_frame tf.text = "First point" p = tf.add_paragraph() p.text = "Second point" p.level = 1 # Indent prs.save("bullets.pptx")
Add Image
from pptx import Presentation from pptx.util import Inches prs = Presentation() slide_layout = prs.slide_layouts[5] # Blank slide = prs.slides.add_slide(slide_layout) slide.shapes.add_picture("chart.png", Inches(1), Inches(1), width=Inches(8)) prs.save("with_image.pptx")
Add Table
from pptx import Presentation from pptx.util import Inches prs = Presentation() slide_layout = prs.slide_layouts[5] # Blank slide = prs.slides.add_slide(slide_layout) rows, cols = 4, 3 table = slide.shapes.add_table(rows, cols, Inches(1), Inches(1), Inches(8), Inches(3)).table # Set headers table.cell(0, 0).text = "Name" table.cell(0, 1).text = "Q1" table.cell(0, 2).text = "Q2" # Set data table.cell(1, 0).text = "Alice" table.cell(1, 1).text = "100" table.cell(1, 2).text = "150" prs.save("table.pptx")
Report Generation
from docx import Document from docx.shared import Inches doc = Document() doc.add_heading("Monthly Report", level=0) doc.add_paragraph("Generated automatically by agent.") # Add summary table table = doc.add_table(rows=3, cols=2) table.style = "Table Grid" table.rows[0].cells[0].text = "Metric" table.rows[0].cells[1].text = "Value" table.rows[1].cells[0].text = "Revenue" table.rows[1].cells[1].text = "$1,000,000" table.rows[2].cells[0].text = "Users" table.rows[2].cells[1].text = "5,000" doc.save("report.docx")
Data Export to Excel
import pandas as pd from openpyxl.chart import BarChart, Reference from openpyxl import load_workbook # Create data df = pd.DataFrame({ "Date": pd.date_range("2026-01-01", periods=30), "Revenue": [1000 + i * 50 for i in range(30)] }) # Save with formatting df.to_excel("daily_revenue.xlsx", index=False) # Add chart wb = load_workbook("daily_revenue.xlsx") ws = wb.active chart = BarChart() chart.add_data(Reference(ws, min_col=2, min_row=1, max_row=31)) chart.set_categories(Reference(ws, min_col=1, min_row=2, max_row=31)) chart.title = "Daily Revenue" ws.add_chart(chart, "D1") wb.save("daily_revenue.xlsx")
PDF Report with Charts
from fpdf import FPDF import matplotlib.pyplot as plt # Create chart image plt.figure(figsize=(10, 6)) plt.bar(["Jan", "Feb", "Mar"], [100, 150, 200]) plt.title("Monthly Sales") plt.savefig("chart.png") plt.close() # Create PDF pdf = FPDF() pdf.add_page() pdf.set_font("Helvetica", size=16) pdf.cell(0, 10, "Monthly Sales Report", ln=True, align="C") pdf.image("chart.png", x=10, y=30, w=190) pdf.output("report.pdf")
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md