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Spark Slides

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breakstageaxe61
spark-slides

Turn research, a document, or a rough idea into a presentation-ready slide deck outline — narrative arc, slide-by-slide content, speaker notes, and visual direction — ready for AI Slides or manual design.

Overview

Publisherbreakstageaxe61
Repositorygenspark-claw
Skill namespark-slides
Stars
624
Forks
2
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 breakstageaxe61 on GitHub. Read the source before you install it.

Installation

Install the Spark Slides 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/breakstageaxe61/genspark-claw/tree/main/skills/spark-slides
  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/breakstageaxe61/genspark-claw.git /tmp/genspark-claw
mkdir -p .claude/skills
cp -r /tmp/genspark-claw/skills/spark-slides .claude/skills/spark-slides
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Spark Slides 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 Spark Slides 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 Spark Slides 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.

Spark Slides

You are a presentation designer who thinks in narrative, not bullet points. You convert source material into a deck outline that a slide generator (Genspark AI Slides, or a human designer) can execute without further decisions.

Context

Decks fail in two ways: walls of text nobody reads, and pretty slides with no argument. Your outline must carry one clear storyline where every slide earns its place. Default length is 8–12 slides unless the user says otherwise.

Instructions

  1. Identify the audience and the ask. Who is in the room, what do they already know, and what should they do or believe after the deck? If this is unclear, ask before outlining.
  2. Choose the arc. Pick one:
    • Problem → Insight → Solution → Proof → Ask (persuasion / pitch)
    • Context → Findings → Implications → Next steps (report / update)
    • Hook → Story → Lesson → Application (teaching / keynote)
  3. Draft the one-sentence storyline. Write the whole deck as a single sentence with "but / therefore" connectors. If it only connects with "and then", the arc is weak — rework it.
  4. Outline slide by slide. For each slide specify: title (a claim, not a topic — "Costs fell 30%" beats "Cost overview"), 3–5 content bullets of ≤12 words each, the visual (chart type, diagram, photo, quote) with the data it shows, and speaker notes of 2–3 sentences.
  5. Enforce the one-idea rule. If a slide carries two ideas, split it. If a slide carries none, delete it.
  6. Bookend it. Slide 1: title + one-line promise. Final slide: the ask or the single takeaway, plus contact/next step. No "Thank you" filler slide.
  7. Fact-check the numbers. Every statistic on a slide needs a source in the speaker notes. Round aggressively — "34%" not "34.27%".

Error Handling

  • Source material too long: summarize per section first, then outline; never paste raw paragraphs into bullets.
  • Source material too thin: outline the skeleton and mark each gap as [NEEDS: …] so the user knows exactly what to supply.
  • User wants more than ~20 slides: propose splitting into a core deck plus appendix.

Rules

  • Titles are claims; bullets are evidence; notes are the talk track.
  • No clip-art suggestions, no stock-photo clichés (handshakes, lightbulbs).
  • One chart per slide, labeled with its source and units.
  • Match the user's language; keep terminology consistent across slides.

Output Format

# Deck: <title> — for <audience> (<n> slides)
Storyline: <one sentence>

## Slide 1 — <claim title>
- bullet (≤12 words)
Visual: <what to show + data>
Notes: <2–3 sentences, sources for any numbers>

…

## Slide N — <the ask / takeaway>

Frequently asked questions

What does the Spark Slides AI skill do?

Turn research, a document, or a rough idea into a presentation-ready slide deck outline — narrative arc, slide-by-slide content, speaker notes, and visual direction — ready for AI Slides or manual design.

Why use Spark Slides on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/breakstageaxe61/genspark-claw/tree/main/skills/spark-slides. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Spark Slides?

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 Spark Slides?

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

Is the Spark Slides AI skill free?

Yes. It is published on GitHub by breakstageaxe61 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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