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Make Deck

Community
bluzir
make-deck

Build an HTML slide deck (1920×1080, keyboard nav, exportable) when user asks for a presentation, pitch deck, slides, or keynote. Uses deck_stage.js starter and Claude Design taste rules.

Overview

Publisherbluzir
Repositoryclaude-code-design
Skill namemake-deck
Stars
107
Forks
11
Bundled files
Instructions only
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 bluzir on GitHub. Read the source before you install it.

Installation

Install the Make Deck 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/bluzir/claude-code-design/tree/main/.claude/skills/make-deck
  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/bluzir/claude-code-design.git /tmp/claude-code-design
mkdir -p .claude/skills
cp -r /tmp/claude-code-design/.claude/skills/make-deck .claude/skills/make-deck
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Make Deck 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 Make Deck 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 Make Deck 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.

Make a Deck

Build an HTML slide deck that looks designed, not AI-generated. Uses starters/deck_stage.js for keyboard nav, scaling, speaker notes, and print-to-PDF.

Phase 0 — Context pre-flight (auto-detect, ONE question max)

Before asking design questions, detect context silently via auto-checks. Only ask the user if nothing is found.

Auto-detect (no user input)

  1. Read .claude/design-tokens.json — project tokens, if exist → load
  2. Bash(ls ~/.claude/design-systems/ 2>/dev/null) — org-level registry. If the brief mentions a brand name matching a folder → auto-apply it (e.g. brief "Acme deck" + ~/.claude/design-systems/acme/ → use Acme)
  3. Glob **/tailwind.config.* **/theme.{ts,js,json} **/tokens.{css,scss} **/_variables.* at project root — if found, note "codebase detected" and Read them
  4. Scan user message/attachments for:
    • GitHub URL → invoke Skill: ingest-github first
    • Figma URL → invoke Skill: ingest-figma first
    • Image attachment → invoke Skill: ingest-screenshot first
    • .md / .txt / .pdf file attached → Read it (may contain brand refs or content)

One-question fallback (only if nothing detected)

If no context found after auto-detect, use AskUserQuestion with a single question, text-options:

  • Use existing design system — list names from ~/.claude/design-systems/ (if any)
  • From codebase — "paste a local path or github URL"
  • From screenshot — "attach an image"
  • From Figma — "paste a figma URL (needs FIGMA_TOKEN)"
  • No context — invoke Skill: frontend-design for aesthetic-from-scratch
  • Decide for me — Claude picks frontend-design

Report what was found/chosen in one line: "Using . Proceeding…"

Phase 1 — Ambiguity gate

Check the user's brief ($ARGUMENTS) for these signals:

  • Audience — "for X", "for investors", "team", "stakeholders", etc.
  • Style — named aesthetic ("New Yorker", "WSJ", "minimal", "bold", "Apple-like") or brand reference
  • Length — "N slides", "short", "quick"

If ≥2 of 3 present → skip long questionnaire, proceed with max 1-2 clarifying questions.

If <2 present → invoke AskUserQuestion with:

  • Audience (who's watching, emotional state, technical level)
  • Tone (formal/casual, funny/serious)
  • Length (slide count)
  • Visuals (minimal/rich, photos/illustrations/charts)
  • Variations (do they want 2-3 deck options or just one)

Ask at least 4 relevant questions even in gate-passed mode if anything is still unclear. Do not ask about brand context — Phase 0 already handled it.

Phase 1.5 — Speaker-notes heuristic (agent decides, no toggle)

Instead of asking user "use speaker notes?", decide from signals:

Signal in brief→ speaker notes
"quick", "standup", "lightning", "recap", <100 charsoff — self-sufficient slides, no notes
"for investors", "Board meeting", "keynote", "All Hands"on — sparse slides, notes carry narrative
Attached PRD / long doc (>500 words)on — slides distill, notes script
Only 1-3 slides requestedoff
10+ slides requestedon (probably a story arc)
Ambiguous / none of aboveask a single yes/no question

If on: generate <script type="application/json" id="speaker-notes">[...]</script> at the end of <body> with one string per slide — full conversational narrative, not bullet-point summary. Keep slides visual-heavy.

If off: skip notes entirely; slides must stand alone.

Phase 2 — Visual system

Using context gathered in Phase 0, commit to a visual system up front:

  • Section-header layout, title layout, image layout
  • Max 1-2 background colors across the deck
  • Font hierarchy (display / H1 / body / caption)
  • Palette (pull from loaded tokens, or generated via Skill: frontend-design)

Vocalize the system in one paragraph before writing slides.

Phase 3 — Build

  1. Create artifacts/<slug>.html with shell:
    html
    <!doctype html>
    <html lang="en">
    <head>
      <meta charset="utf-8"/>
      <title>{{deck title}}</title>
      <script src="./deck_stage.js"></script>
      <style>/* your tokens + slide styles */</style>
    </head>
    <body>
      <deck-stage width="1920" height="1080">
        <section><!-- slide 1 --></section>
        ...
      </deck-stage>
    </body>
    </html>
  2. Bash(cp starters/deck_stage.js "$(dirname <html>)/") — copy starter into the same dir as the HTML (important for nested paths like artifacts/foo/deck.html)
  3. Write all slides in one pass. Rules:
    • NO title-only slide as slide 1 (jump into content)
    • Text ≥ 24px on 1920×1080
    • text-wrap: pretty
    • Use CSS Grid for layouts
    • No gradients, no emoji, no Inter/Roboto/Arial — pick character fonts
    • No SVG-drawn imagery — placeholder divs with labels instead
    • Vary layout rhythm across slides (not all same template)
  4. Speaker notes: follow Phase 1.5 decision — don't ask again.

3.1 Vertical budget — compute before you write (!)

<deck-stage> sections have overflow: hidden — overflow is visually silent, content just disappears. You must budget vertically up front.

Typical chrome layout on each slide consumes ~430px of the 1080 canvas:

ItemReserved
Section padding top96px
Chrome row (abs, but visual weight)24px
Kicker margin-top + kicker44 + 22 = 66px
h2.section-title (font-size 80–96px × 2 lines)~200px
h2 margin-bottom36px
Content grid margin-top16px
Section padding bottom96px
Total reserved~430px

Content budget: 1080 − 430 = ~650px. Any primary card, row, or media container in the content area must fit inside this.

Hard caps to keep you honest:

  • Primary card min-height: ≤ 500px
  • Post-mock / deep-content column min-height: ≤ 620px
  • Max 5 anatomy rows at ~110px each, or 4 at ~130px each
  • Short h2 (1 line, ≤ 60 chars) → 140px budget frees up; long h2 (2 lines) → use 200px
  • If you need taller content, drop the kicker or merge kicker+h2 on one line — don't let cards grow

If a slide feels too busy — split it or cut content. Overflow is a design smell, not a typography problem.

3.2 Russian / long-word hyphenation

Set hyphens: manual; -webkit-hyphens: manual; on <section> to prevent browsers from inserting soft-hyphens mid-word (breaks long Russian words across lines in narrow columns).

Phase 4 — Verify

  1. /done artifacts/<slug>.html — opens in browser, checks console, saves screenshot

  2. Fix any errors; re-run until clean

  3. Mandatory programmatic overflow audit (blocks end-of-turn if any slide overflows or is too tight):

    js
    // Paste into mcp__chrome-devtools__evaluate_script
    async () => {
      const stage = document.querySelector('deck-stage');
      if (!stage) return { skipped: 'no deck-stage' };
      // Decoratives we deliberately ignore (bleed past section bounds by design):
      // glow halos, hero backdrops, chrome overlays, anything flagged data-decorative.
      const DECORATIVE = '.glow, .glow-2, .hero-glow, .chrome, [data-decorative], [aria-hidden="true"].backdrop';
      const isDecorative = (el) => {
        if (el.matches(DECORATIVE) || el.closest(DECORATIVE)) return true;
        const cs = getComputedStyle(el);
        // pointer-events:none + no text + low opacity → visual decoration, skip
        if (cs.pointerEvents === 'none' && !el.textContent?.trim() && parseFloat(cs.opacity) < 1) return true;
        return false;
      };
      const out = [];
      for (let i = 0; i < stage.totalSlides; i++) {
        stage.goToSlide(i);
        await new Promise(r => setTimeout(r, 80));
        const s = stage.querySelectorAll('section')[i];
        const sRect = s.getBoundingClientRect();
        const scale = 1080 / sRect.height;
        // Measure ALL elements (including position:absolute like .arrow-between, .save-cta,
        // .footer-row that ARE meaningful content) — only decoratives are skipped.
        let maxBottom = 0, culprit = null;
        for (const el of s.querySelectorAll('*')) {
          if (isDecorative(el)) continue;
          const cs = getComputedStyle(el);
          if (cs.display === 'none' || cs.visibility === 'hidden') continue;
          const r = el.getBoundingClientRect();
          if (r.height === 0 && r.width === 0) continue;
          const b = (r.bottom - sRect.top) * scale;
          if (b > maxBottom) { maxBottom = b; culprit = el.className?.toString?.().slice(0, 40) || el.tagName; }
        }
        const contentBottom = Math.round(maxBottom);
        const overflow = contentBottom - 1080;
        const headroom = 1080 - contentBottom;
        const status = overflow > 0 ? 'FAIL' : headroom < 40 ? 'WARN' : 'OK';
        out.push({ slide: i + 1, contentBottom, overflow, headroom, status, culprit });
      }
      stage.goToSlide(0);
      return out;
    }
    • FAIL (overflow > 0) — content clipped. Do not claim done. Shrink cards / fonts / padding, then re-run.
    • WARN (headroom < 40px) — visually too close to the edge (any small font-metric variance clips). Aim for ≥ 60px headroom.
    • OK — ship.

    Common fixes: reduce min-height on cards, shrink headline font, drop a row, merge kicker+title, tighten vertical gaps.

    If the browser shows an overflow that this script says doesn't exist, hard-reload with cache-bust: mcp__chrome-devtools__navigate_page({ type: "reload", ignoreCache: true }). Most such disagreements come from a cached CSS state prior to your latest Edit.

  4. Invoke Skill: verify-artifact silently in background (vision check on layout — it handles per-slide screenshots automatically when it detects <deck-stage>)

  5. Reference .claude/last-preview.png in end-of-turn summary

Phase 5 — Offer next steps

  • /export-pptx artifacts/<slug>.html — native PPTX via screenshots
  • /export-pdf artifacts/<slug>.html — PDF
  • /export-standalone artifacts/<slug>.html <dist>.html — single-file offline HTML
  • /register-asset artifacts/<slug>.html — add to assets.html overview
  • Speaker notes mode → add <script type="application/json" id="speaker-notes">[...]</script>
  • Tweakable mode → /make-tweakable artifacts/<slug>.html

Anti-patterns — hard prohibited

  • Title slide first
  • Filler content
  • AI-slop card patterns (rounded + left border accent)
  • Generic gradient backgrounds
  • Inventing numbers/stats
  • Inventing colors (use oklch() to harmonize with existing palette)

Frequently asked questions

What does the Make Deck AI skill do?

Build an HTML slide deck (1920×1080, keyboard nav, exportable) when user asks for a presentation, pitch deck, slides, or keynote. Uses deck_stage.js starter and Claude Design taste rules.

Why use Make Deck on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bluzir/claude-code-design/tree/main/.claude/skills/make-deck. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Make Deck?

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 Make Deck?

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

Is the Make Deck AI skill free?

It is published on GitHub by bluzir. Check the repository for licensing terms. 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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