How I built a free, open-source library of AI slide-deck prompts

Описание и применение

Автор создал библиотеку из 120+ промптов для генерации слайд‑деков, которые гарантируют высокое качество и единый стиль, экономя время и повышая эффективность.

Задача

Creating consistent, high-quality slide decks required rewriting the same prompt repeatedly, leading to unpredictable results.

Результат

The library consistently produces high‑quality slide decks across multiple use cases, saving time and ensuring visual coherence.

Рабочий процесс

• 1. Identify common deck types and visual styles.
• 2. Draft prompts that specify slide count, content, color, font, and tone.
• 3. Test prompts in an AI image model to verify output quality.
• 4. Refine prompts based on results, adding preview images.
• 5. Publish the prompts in a free, MIT‑licensed GitHub repository.
• 6. Encourage community contributions via pull requests.

Доказательства

Every time I needed a deck, I'd open an AI image model and rewrite the same "make me a pitch deck" prompt from scratch — and the output was hit-or-miss.

Источник

I started saving the prompts that reliably produced good slides, and eventually organized 120+ of them by use case (pitch, QBR, research, sales, education) and visual style (minimal, dark, corporate, editorial).

Источник

Why it works: it names every slide's job (problem, solution, TAM/SAM/SOM, traction, ask) and locks one accent color + one font, so the 10 slides read as a system instead of 10 unrelated images.

Источник

How to use: copy any prompt → paste into your image model or SurgePix → generate → then edit (swap a chart, retitle a slide, recolor all 12 to match) rather than regenerating and hoping.

Источник