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Ppt Generation

Community
HezaoHezao
ppt-generation

Generate PPTX presentations from slide plan + content.

Overview

PublisherHezaoHezao
Repositorypoirot
Skill nameppt-generation
Stars
252
Forks
26
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by HezaoHezao on GitHub. Read the source before you install it.

Installation

Install the Ppt Generation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/HezaoHezao/poirot/tree/master/poirot/backend/agents/skill/builtin_skills/productivity/ppt-generation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/HezaoHezao/poirot.git /tmp/poirot
mkdir -p .claude/skills
cp -r /tmp/poirot/poirot/backend/agents/skill/builtin_skills/productivity/ppt-generation .claude/skills/ppt-generation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ppt Generation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ppt Generation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ppt Generation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

PPT Generation

Overview

Generate professional PowerPoint presentations. Plan the structure with a consistent visual style, generate slide content, and compose into a PPTX file.

Poirot note: The original deer-flow skill uses AI image-generation per slide. Poirot may not have image-generation available. This version generates text-based slides with python-pptx. Install: pip install python-pptx.

When to Use

  • User requests to generate, create, or make presentations (PPT/PPTX)
  • User wants slides for a topic with structured content
  • User needs a visual presentation from research findings

Presentation Styles

StyleDescriptionBest For
dark-premiumBlack bg, luminous accents, luxury aestheticExecutive presentations
gradient-modernBold mesh gradients, contemporary typographyStartups, brand launches
minimal-swissGrid-based, bold negative space, timelessConsulting, architecture
keynoteApple-inspired, bold typography, dramatic imageryKeynotes, product reveals
editorialMagazine-quality layouts, sophisticated typographyAnnual reports, thought leadership

Workflow

Step 1: Understand Requirements

  • Topic/subject
  • Number of slides (default: 5-10)
  • Style: dark-premium / gradient-modern / minimal-swiss / keynote / editorial
  • Aspect ratio: 16:9 (standard) or 4:3
  • Content outline: key points per slide

Step 2: Research (if needed)

Use deep-research skill to gather content for the presentation.

Step 3: Create Presentation Plan

json
{
  "title": "Presentation Title",
  "style": "dark-premium",
  "slides": [
    {"number": 1, "type": "title", "title": "...", "subtitle": "..."},
    {"number": 2, "type": "content", "title": "...", "bullets": ["...", "..."]},
    {"number": 3, "type": "chart", "title": "...", "data": {...}},
    {"number": 4, "type": "section", "title": "..."},
    {"number": 5, "type": "content", "title": "...", "bullets": ["...", "..."]},
    {"number": 6, "type": "closing", "title": "Thank You", "subtitle": "..."}
  ]
}

Step 4: Generate PPTX

bash
python3 -c "
from pptx import Presentation
from pptx.util import Inches, Pt, Emu
from pptx.dml.color import RGBColor
from pptx.enum.text import PP_ALIGN

prs = Presentation()
prs.slide_width = Inches(13.333)  # 16:9
prs.slide_height = Inches(7.5)

# Style: dark-premium
BG_COLOR = RGBColor(0x0A, 0x0A, 0x0A)
TEXT_COLOR = RGBColor(0xFF, 0xFF, 0xFF)
ACCENT_COLOR = RGBColor(0x00, 0xD9, 0xFF)

def add_slide(prs, layout_idx=6):  # 6 = blank
    slide = prs.slides.add_slide(prs.slide_layouts[layout_idx])
    bg = slide.background
    fill = bg.fill
    fill.solid()
    fill.fore_color.rgb = BG_COLOR
    return slide

def add_text(slide, text, left, top, width, height, size=24, color=TEXT_COLOR, bold=False):
    txBox = slide.shapes.add_textbox(Inches(left), Inches(top), Inches(width), Inches(height))
    tf = txBox.text_frame
    p = tf.paragraphs[0]
    p.text = text
    p.font.size = Pt(size)
    p.font.color.rgb = color
    p.font.bold = bold
    return txBox

# Slide 1: Title
slide = add_slide(prs)
add_text(slide, 'Presentation Title', 1, 2, 11, 2, size=44, bold=True)
add_text(slide, 'Subtitle', 1, 4, 11, 1, size=24, color=ACCENT_COLOR)

# Slide 2: Content with bullets
slide = add_slide(prs)
add_text(slide, 'Key Points', 1, 0.5, 11, 1, size=36, bold=True)
for i, bullet in enumerate(['Point one', 'Point two', 'Point three']):
    add_text(slide, f'• {bullet}', 1, 2 + i*0.8, 11, 0.7, size=24)

# Slide 3: Section divider
slide = add_slide(prs)
add_text(slide, 'Section Title', 1, 3, 11, 1.5, size=40, bold=True, color=ACCENT_COLOR)

# Save
prs.save('.poirot/outputs/presentation.pptx')
print('Saved to .poirot/outputs/presentation.pptx')
"

Step 5: Present

present_files([".poirot/outputs/presentation.pptx"])

Slide Types

TypeContentLayout
titleTitle + subtitleCentered, large font
contentTitle + bulletsLeft-aligned, 3-5 bullets
sectionSection title onlyCentered, accent color
chartTitle + chart imageChart from chart-visualization skill
quoteLarge quote + attributionCentered, italic
closingThank you + contactCentered

Pitfalls

  • Too much text per slide: max 5-6 bullets, max 2 lines each. Slides are visual aids, not documents.
  • Font sizes too small: title ≥36pt, body ≥24pt. If text doesn't fit, split into more slides.
  • Inconsistent style: all slides must use the same color palette, font sizes, and layout patterns.
  • No visual hierarchy: title > section headers > bullets > footnotes. Use size + weight + color to establish hierarchy.
  • python-pptx not installed: pip install python-pptx first.
  • Image slides: if you need chart images, generate them first with the chart-visualization skill, then embed as slide.shapes.add_picture().

Frequently asked questions

What does the Ppt Generation AI skill do?

Generate PPTX presentations from slide plan + content.

Why use Ppt Generation on TypingMind?

Because you install it once and use it with any model. Ppt Generation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ppt Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HezaoHezao/poirot/tree/master/poirot/backend/agents/skill/builtin_skills/productivity/ppt-generation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ppt Generation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ppt Generation?

As many as you like. As long as a model supports skills, you can use Ppt Generation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ppt Generation AI skill free?

Yes. It is published on GitHub by HezaoHezao under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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