pptx

skillcreatorai/ai-agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/skillcreatorai/ai-agent-skills --skill pptx
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summary

pptx

skill.md

PowerPoint Processing

Creating Presentations (Python)

from pptx import Presentation
from pptx.util import Inches, Pt

prs = Presentation()

# Add title slide
title_slide_layout = prs.slide_layouts[0]
slide = prs.slides.add_slide(title_slide_layout)
title = slide.shapes.title
subtitle = slide.placeholders[1]
title.text = "Hello, World!"
subtitle.text = "python-pptx demo"

# Add content slide
bullet_slide_layout = prs.slide_layouts[1]
slide = prs.slides.add_slide(bullet_slide_layout)
shapes = slide.shapes
title_shape = shapes.title
body_shape = shapes.placeholders[1]
title_shape.text = "Key Points"
tf = body_shape.text_frame
tf.text = "First bullet point"
p = tf.add_paragraph()
p.text = "Second bullet point"
p.level = 1

prs.save('presentation.pptx')

Adding Images

from pptx.util import Inches

blank_layout = prs.slide_layouts[6]
slide = prs.slides.add_slide(blank_layout)

left = Inches(1)
top = Inches(1)
width = Inches(5)
slide.shapes.add_picture('image.png', left, top, width=width)

Adding Tables

rows, cols = 3, 4
left = Inches(1)
top = Inches(2)
width = Inches(6)
height = Inches(1.5)

table = slide.shapes.add_table(rows, cols, left, top, width, height).table

# Set column widths
table.columns[0].width = Inches(2)

# Add content
table.cell(0, 0).text = "Header 1"
table.cell(1, 0).text = "Data 1"

Adding Charts

from pptx.chart.data import CategoryChartData
from pptx.enum.chart import XL_CHART_TYPE

chart_data = CategoryChartData()
chart_data.categories = ['East', 'West', 'Midwest']
chart_data.add_series('Sales', (19.2, 21.4, 16.7))

x, y, cx, cy = Inches(2), Inches(2), Inches(6), Inches(4.5)
slide.shapes.add_chart(
    XL_CHART_TYPE.COLUMN_CLUSTERED, x, y, cx, cy, chart_data
)

Editing Existing Presentations

prs = Presentation('existing.pptx')

# Access slides
for slide in prs.slides:
    for shape in slide.shapes:
        if shape.has_text_frame:
            print(shape.text_frame.text)

# Modify text
slide = prs.slides[0]
slide.shapes.title.text = "New Title"

prs.save('modified.pptx')

Best Practices

  • Use slide layouts for consistency
  • Keep text minimal, use visuals
  • Use Inches() or Pt() for sizing
  • Save frequently during creation
how to use pptx

How to use pptx on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add pptx
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/skillcreatorai/ai-agent-skills --skill pptx

The skills CLI fetches pptx from GitHub repository skillcreatorai/ai-agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/pptx

Reload or restart Cursor to activate pptx. Access the skill through slash commands (e.g., /pptx) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.726 reviews
  • Luis Thompson· Dec 28, 2024

    Registry listing for pptx matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Dhruvi Jain· Dec 20, 2024

    We added pptx from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Oshnikdeep· Nov 11, 2024

    Useful defaults in pptx — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ganesh Mohane· Oct 2, 2024

    Registry listing for pptx matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Michael Dixit· Sep 21, 2024

    pptx is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Arya Gonzalez· Aug 12, 2024

    Solid pick for teams standardizing on skills: pptx is focused, and the summary matches what you get after install.

  • Rahul Santra· Jul 15, 2024

    pptx fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Daniel Lopez· Jul 3, 2024

    I recommend pptx for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Hiroshi Liu· Jun 22, 2024

    Keeps context tight: pptx is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Pratham Ware· Jun 6, 2024

    pptx has been reliable in day-to-day use. Documentation quality is above average for community skills.

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