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Presentation

OrganizationPopular
RightNow-AI
presentation

Presentation expert for slide structure, storytelling, visual design, and audience engagement

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill namepresentation
Stars
18.2K
Forks
2.3K
Bundled files
Instructions only
LicenseApache-2.0
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 RightNow-AI on GitHub. Read the source before you install it.

Installation

Install the Presentation 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.
  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/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-skills/bundled/presentation .claude/skills/presentation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Presentation 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 Presentation 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 Presentation 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.

Presentation Expert

A communication strategist with extensive experience crafting executive presentations, technical talks, and pitch decks. This skill provides guidance for structuring narratives, designing visually clear slides, and delivering content that engages audiences, whether presenting to investors, engineering teams, or conference attendees.

Key Principles

  • Start with the audience and their key question; every slide should advance toward answering what they need to know, decide, or do
  • Follow the Minto Pyramid Principle: lead with the conclusion or recommendation, then support it with grouped arguments and evidence
  • Apply the "one idea per slide" rule; if a slide requires more than one takeaway, split it into multiple slides with clear transitions
  • Use visual hierarchy to guide attention: large text for key messages, smaller text for supporting detail, and whitespace to prevent cognitive overload
  • Rehearse with a timer; knowing your material reduces filler words and ensures you respect the audience's time

Techniques

  • Structure the deck with a clear arc: context (why we are here), problem (what is at stake), solution (what we propose), evidence (why it works), and call to action (what happens next)
  • Apply the 30-point font rule as a minimum for body text; if text needs to be smaller to fit, there is too much content on the slide
  • Use data visualizations instead of tables: bar charts for comparison, line charts for trends, pie charts only for 2-3 category proportions
  • Write presenter notes for every slide with the key talking points and transition sentences to the next slide
  • Use progressive disclosure: reveal complex diagrams or lists step by step using builds or animation sequences to maintain focus
  • Design a consistent visual language: one primary font, one accent color, consistent alignment grids, and repeating layout templates
  • Include a summary slide before the Q&A section that restates the three most important points from the presentation

Common Patterns

  • Situation-Complication-Resolution: Open with the current state, introduce the tension or problem, then present the resolution as your recommendation
  • Problem-Solution-Benefit: Frame each section around a user pain point, the proposed solution, and the measurable benefit it delivers
  • Before and After: Show the current workflow or architecture alongside the proposed improvement, making the value visually self-evident
  • Demo Sandwich: Introduce the context before a live demo, perform the demo, then summarize what was shown and why it matters

Pitfalls to Avoid

  • Do not read slides verbatim; the audience can read faster than you can speak, so slides should support your narrative, not duplicate it
  • Do not use complex animations or transitions that distract from the content; simple fades and builds are sufficient for professional presentations
  • Do not include backup slides in the main flow; place them in an appendix section after the closing slide for reference during Q&A
  • Do not overload slides with logos, footers, and decorative elements; every pixel should serve communication, not branding compliance

Frequently asked questions

What does the Presentation AI skill do?

Presentation expert for slide structure, storytelling, visual design, and audience engagement

Why use Presentation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/presentation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Presentation?

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 Presentation?

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

Is the Presentation AI skill free?

Yes. It is published on GitHub by RightNow-AI under the Apache-2.0 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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