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Rylai Ppt

Community
Rylaispirit
rylai-ppt

Create editable PowerPoint decks from a local JSON specification using Rylai's visual system, python-pptx, deterministic slide types, and optional rendering.

Overview

PublisherRylaispirit
Repositoryrylai-codex-hermes-skills
Skill namerylai-ppt
Stars
63
Forks
42
Bundled files
4
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Rylai Ppt 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/Rylaispirit/rylai-codex-hermes-skills/tree/main/skills/rylai-ppt
  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/Rylaispirit/rylai-codex-hermes-skills.git /tmp/rylai-codex-hermes-skills
mkdir -p .claude/skills
cp -r /tmp/rylai-codex-hermes-skills/skills/rylai-ppt .claude/skills/rylai-ppt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rylai Ppt 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 Rylai Ppt 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 Rylai Ppt 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.

Rylai PPT

Use the bundled Python workflow to create a clean, editable .pptx. The renderer is an original Rylai implementation built on python-pptx. It uses local PowerPoint elements and does not load HTML templates, remote images, or hosted assets.

Requirements

  • Python 3
  • python-pptx
  • Optional LibreOffice for rendering to PDF

Workflow

  1. Read the user's source material and identify the audience, purpose, slide count, language, and required facts.
  2. Create a JSON deck specification by adapting examples/deck.json.
  3. Keep one message per slide. Split dense content instead of shrinking text.
  4. Validate the specification:
bash
python <skill-dir>/scripts/build_deck.py build <deck.json> <output.pptx>
  1. Build the presentation:
bash
python <skill-dir>/scripts/build_deck.py inspect <output.pptx>
  1. Render the result when LibreOffice is available:
bash
python <skill-dir>/scripts/build_deck.py render <output.pptx> <render-dir>
  1. Check clipping, contrast, reading order, repeated wording, and slide count before delivery.

Slide Types

  • cover: title, subtitle, eyebrow, footer
  • section: number, title, summary
  • bullets: title, kicker, and two to six structured items
  • metrics: title and two to four value cards
  • comparison: two labeled lists with two to five items each
  • timeline: two to five ordered steps
  • quote: quotation and attribution
  • closing: final title, subtitle, and contact line

Read references/deck-spec.md when field-level constraints are needed. Unknown slide fields fail validation so the deck stays portable and deterministic.

Design Rules

  • Use the theme fields in the JSON spec rather than editing renderer constants for each deck.
  • Use a restrained multi-color palette with one primary accent and one secondary accent.
  • Keep titles short, body copy specific, and metrics attributable to the user's material.
  • Use only the supported local vector icons: circle, square, diamond, check, and arrow.
  • Do not add remote URLs as image sources. This workflow intentionally has no image field.
  • Preserve user-provided brand wording. Do not invent customer names, testimonials, statistics, or claims.

Runtime Notes

  • Codex, Hermes, and Claude execute the same bundled Python scripts.
  • Resolve all bundled paths from this skill directory.
  • Write generated decks to the user's requested workspace, not inside the installed skill.
  • Report the final path and the number and types of slides created.

Authored by Rylai for Codex, Hermes, and Claude.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Rylai Ppt AI skill do?

Create editable PowerPoint decks from a local JSON specification using Rylai's visual system, python-pptx, deterministic slide types, and optional rendering.

Why use Rylai Ppt on TypingMind?

Because you install it once and use it with any model. Rylai Ppt 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 Rylai Ppt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Rylaispirit/rylai-codex-hermes-skills/tree/main/skills/rylai-ppt. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Rylai Ppt?

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 Rylai Ppt?

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

Is the Rylai Ppt AI skill free?

Yes. It is published on GitHub by Rylaispirit 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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