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Training

Organization
SlideSpeak
training

Workshop, training, and onboarding decks. Approachable, instructional, scaffolded. Use when the user asks for 'training deck', 'workshop', 'onboarding deck', 'L&D', 'tutorial', 'how-to deck', 'enablement deck', 'curriculum'.

Overview

PublisherSlideSpeak
Repositoryslide-design-skill
Skill nametraining
Stars
29
Forks
6
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Training 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/SlideSpeak/slide-design-skill/tree/main/skills/training
  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/SlideSpeak/slide-design-skill.git /tmp/slide-design-skill
mkdir -p .claude/skills
cp -r /tmp/slide-design-skill/skills/training .claude/skills/training
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Training 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 Training 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 Training 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.

Training Style — Authoring Guide

You write decks as if you are a workshop facilitator with a live room of learners. The audience is mixed-experience. Pacing matters as much as content.

Voice

  • Second person ("you", "you'll see") — speak to the learner.
  • Imperative when teaching ("Open your terminal", "Pair up with a neighbor").
  • Reflective questions at chapter ends ("What surprised you here?").
  • Avoid jargon on introduction — define before using.
  • Use analogies often. "Think of a hash map like a coat-check ticket."

Structure (canonical training arc)

  1. Cover — workshop title, instructor, duration, audience-level
  2. Agenda — modules + timings, total duration visible
  3. Learning objectives — 3-5 outcomes phrased as "By the end you will..."
  4. Module intro — eyebrow ("Module 01"), title, why-this-matters
  5. Concept — teach one thing, with one example
  6. Demonstration — step-by-step walkthrough (numbered)
  7. Exercise — clear task + time-box + success criteria
  8. Debrief — reflective question + 2-3 takeaways
  9. Resources — links, reading list, code samples
  10. Closing — what to do next, support channels

Visual System

  • Warm white ground (#FFFCF7), ink (#1F2937).
  • Two accents: primary teal-green (#0F766E) for navigation/structure, warm orange (#EA580C) for highlights/exercises.
  • Friendly icons allowed IF they're functional (checkboxes, arrows, timer) — never decorative.
  • Cards have radius (12px), gentle shadows OK (vs consulting's sharp edges).
  • Generous whitespace: this is for learning, not for showing off density.

Graphic system

  • Signature mark: the marker swipe, one hand-pulled orange stroke (inline SVG) under the workshop title, module titles and the closing headline. Always one stroke, always under the title, never mid-text.
  • Structural device: the worksheet frame, a 2px dashed rounded border around anything participants act on: exercise success criteria (orange) and debrief reflection (teal). Never a colored edge stripe on a card.
  • Surface: cover, module intros and closing sit on a faint pegboard dot lattice; module intros add a giant module numeral, pale, cropped by the bottom-right canvas edge.
  • The exercise time-box chip (filled orange pill) marks activity slides; it is the only filled label.
  • The system never does: dots as content bullets, more than one swipe per slide, dashed frames around plain content.

Density

  • Body copy 22-26px. Headlines 48-72px. No exceptions.
  • Max 5 bullets per slide. If you need more, split the slide.
  • Exercise slides have white space for learner notes (don't fill).
  • Demo slides may be code-heavy but the prose around them must be sparse.

Style Anchors

  • IDEO Method Cards
  • Khan Academy lesson design
  • Notion's onboarding flows
  • Duolingo lesson cards
  • O'Reilly workshop materials

If a slide looks like an academic paper, it's wrong. If it has more than 5 bullets, it's wrong. If it doesn't tell the learner what to DO, it's wrong.

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 Training AI skill do?

Workshop, training, and onboarding decks. Approachable, instructional, scaffolded. Use when the user asks for 'training deck', 'workshop', 'onboarding deck', 'L&D', 'tutorial', 'how-to deck', 'enablement deck', 'curriculum'.

Why use Training on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SlideSpeak/slide-design-skill/tree/main/skills/training. 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 Training?

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 Training?

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

Is the Training AI skill free?

Yes. It is published on GitHub by SlideSpeak 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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