Learning Designer logo

Learning Designer

Organization
pnp
learning-designer

Turns a structured Learning Request Brief (from a SharePoint Structured Document Generation form) into a self-contained HTML learning dashboard with up to 3 stages, flashcards, practice, and checks. Use when the user attaches or selects a Learning Request Brief and asks to build a learning experience, create a dashboard from the brief, or design a guided learning page.

Overview

Publisherpnp
Repositorysharepoint-skills
Skill namelearning-designer
Stars
141
Forks
60
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Learning Designer 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/pnp/sharepoint-skills/tree/main/Skills/learning-designer/learning-designer
  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/pnp/sharepoint-skills.git /tmp/sharepoint-skills
mkdir -p .claude/skills
cp -r /tmp/sharepoint-skills/Skills/learning-designer/learning-designer .claude/skills/learning-designer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Learning Designer 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 Learning Designer 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 Learning Designer 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.

Learning Designer

Turn a filled Learning Request Brief into a single self-contained HTML learning dashboard that matches the established visual system (navy/yellow, CSS-only flip cards, staged path, Why/When/How/Check blocks).

When to use

  • User provides or selects a Learning Request Brief .docx generated from the form.
  • User asks to “build the learning dashboard”, “turn this brief into a learning experience”, or “design the page for this topic”.

When not to use

  • Plain article or support page with no stages or interactivity.
  • General slide deck without the dashboard request.
  • Topics that require more than 3 stages (ask the user to revise the brief before generating).

Image handling

  • Look in the same folder as the Learning Request Brief for a file named exactly learning-visual.png (preferred) or learning-visual.jpg.
  • If found, embed it as a base64 data URI inside the HTML so the page remains fully self-contained.
  • Place it in the hero grid (right side) or immediately below the hero as the overview visual — the same prominent position used in the Custom Skills in PowerPoint example.
  • Add a short caption if the brief supplies one; otherwise use a neutral caption such as “Overview”.
  • If the image is missing, omit it cleanly and continue. Never invent an image or use a placeholder that implies content exists.

Flashcards

  • Turn {FlashcardConcepts} and {KnowledgeChecks} into CSS flip cards using the .flip / .flipInner / .flipFace pattern added to the reference.

  • Front = question or concept, back = answer.

  • Cards must flip on hover and on keyboard focus (:hover and :focus-within).

  • Place the deck in its own section or after the relevant stage. Do not use static button quizzes for these items.

  • Do not add any organisational branding, logos, or text such as company names or site headers that are not present in the reference template.

  • Clone only the structure and content from references/test-output-custom-skills.html. Do not invent or inject extra header elements.

  • If the generated page includes any external branding, remove it before finishing.

Use references/test-output-custom-skills.html as the exact structural and visual reference.

Match its:

  • Overall layout, CSS variables, and class names
  • Tab navigation (Overview plus one tab per supplied stage, using the brief's stage names)
  • Hero with figure image placement
  • Card grids, control views, quiz blocks, and next-step buttons
  • Typography, spacing, and colour system

When generating a new dashboard:

  • Keep the CSS and JavaScript intact.
  • Replace only the content (headings, body text, stage names, quiz questions, practice text, image src if a new learning-visual.png is supplied).
  • Replace all sample-topic content, including the page title, metadata, labels, footer and image; omit the reference image when no new visual is supplied.
  • Preserve the tab panel structure and interactive behaviour for the supplied stages. Use the existing stage IDs in order (understand, use, build), even when stage names change. Remove unused stage tabs, panels and learning-path tiles. Retarget every data-next button to the next supplied stage, or overview after the final stage.
  • The reference button quizzes are examples, not extra required content. Render the brief's FlashcardConcepts and KnowledgeChecks as CSS flip cards as specified above; remove unused sample quizzes.
  • Embed any new image as a base64 data URI in the same hero <figure> position.

Do not switch to a different design system. This file is the source of truth for look and interaction.

Core workflow

  1. Read the brief
    Extract all fields from the attached/selected Learning Request Brief. Required fields: LearningTopic, TargetAudience, LearningGoals, and Stage1Name / Stage1Description / Stage1KeyPoints. Stage 2 and Stage 3 are optional complete sets (Name / Description / KeyPoints); supplied stages must be consecutive. Treat blank values and unchanged {Field} placeholders as missing. If a required field is missing, a stage is incomplete, or Stage 3 is supplied without Stage 2, ask the user to complete or correct the brief before generating. Do not invent missing stages.

  2. Apply the mapping
    Use mapping/mapping.md to place each field into the correct dashboard component. Include exactly the complete stages supplied (1-3).

  3. Ground the content
    If {AuthoritativeSource} is present, read it and base facts on it. Never fabricate product behaviour, URLs, or claims. Mark any unverified detail with a visible amber warning callout.

  4. Build the HTML
    Produce one self-contained .html file:

    • Hero with topic, audience, goals, duration chip (if supplied).
    • Learning-path rail with exactly the stages provided (1–3).
    • One section per stage using Why/When/How/Check blocks where the content is procedural.
    • Flip-card decks from FlashcardConcepts and KnowledgeChecks.
    • Practice exercise + success criteria.
    • “Take it further” / next-steps section.
    • Footer with owner and source notes.
  5. Validate
    Confirm: the only script is the inline <script> block from the reference page (no external scripts, libraries or CDNs), no on* handlers, no external assets, keyboard-reachable flip cards, prints fully. Copy the design-system CSS verbatim. Check that the tab count is one overview plus the supplied stage count, all navigation targets exist, no unchanged field placeholders remain, and no reference-topic content remains unless it is supported by the brief.

  6. Deliver
    Save the HTML and give a short summary: topic, stages, any placeholders left, and how to publish the page: save the HTML file, upload it to a SharePoint document library, and open it from there.

Field placement (quick reference)

FieldDashboard location
LearningTopicHero h1 + title
TargetAudienceHero lede / chips
LearningGoalsHero short card + opening lead
StageNNameRail tile + stage h2
StageNDescriptionStage lead
StageNKeyPointsStage body (bullets or Why/When/How/Check)
FlashcardConceptsFlip decks
PracticeExercise + SuccessCriteriaPractice block
KnowledgeChecksFinal quiz cards
NextStepsTake-it-further section
Prerequisites, Owner, Source, DurationSupporting notes, chips, footer

Design system rules

  • Flip cards use CSS (:hover / :focus-within) and accordions use <details>, as in the reference page.
  • Inline script only, as in the reference page: keep its single inline <script> block for the tabs and quiz buttons. No external scripts, libraries or CDNs.
  • Self-contained (inline styles, inline SVGs).
  • Maximum 3 stages.
  • Written instructions must stand alone without images.

Output

  • One .html file (typically 40–70 KB).
  • Short plain-language summary of what was built and any gaps left for the owner.

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 Learning Designer AI skill do?

Turns a structured Learning Request Brief (from a SharePoint Structured Document Generation form) into a self-contained HTML learning dashboard with up to 3 stages, flashcards, practice, and checks. Use when the user attaches or selects a Learning Request Brief and asks to build a learning experience, create a dashboard from the brief, or design a guided learning page.

Why use Learning Designer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pnp/sharepoint-skills/tree/main/Skills/learning-designer/learning-designer. 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 Learning Designer?

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 Learning Designer?

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

Is the Learning Designer AI skill free?

Yes. It is published on GitHub by pnp 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇