aicr-creating-slide-decks

作成者: nvidia

技術的な概念やワークフロー(例:demos/*.html)の自己完結型HTMLスライドデッキやビジュアルトーキングポイントを作成する際に使用します。全画面表示または…

npx skills add https://github.com/nvidia/aicr --skill aicr-creating-slide-decks

Creating Slide Decks

Overview

A deck here is one self-contained HTML file — inline CSS and inline SVG, no build, no dependencies, no network — that opens in any browser and projects cleanly. One idea per slide; hand-drawn SVG diagrams carry the weight. It's the talk-to-it companion to a runnable demo script (see the aicr-creating-guided-demos skill).

Copy skeleton.html: it's already a working deck (palette + chrome + keyboard nav + a title slide + a content slide + an SVG diagram stub). Add one <section class="slide"> per idea; the script auto-counts and navigates.

When to use

  • Building a visual talking-point (a demos/*.html) to present or teach a concept/workflow, full-screen or projected.
  • A leave-behind a reader can click through on their own later.
  • Not for: prose docs (use Markdown), anything needing a real web app/build, or live data dashboards.

Conventions

  • One self-contained file. Inline <style> + inline <svg>; no external fonts/CSS/JS/CDN — it must work offline and on a projector with no network. Lives in demos/.
  • Full-viewport slides + nav. One <section class="slide" data-title="…"> per idea; only .active shows. Keyboard (←/→/Space, Home/End), on-screen ‹ ›, a progress bar, a slide counter, F fullscreen, and #n deep-links — all from the skeleton's script.
  • One idea per slide. An eyebrow label + a heading + one visual (a diagram, a code block, or a small table). If it overflows, split it.
  • Inline SVG carries the concept. Hand-author with the node/edge classes (node/node-g, edge/edge-g, nlabel/nsub/elabel); one diagram per slide; a viewBox plus max-height: …vh so it scales. Keep labels legible from the back of a room.
  • Dark NVIDIA theme. The :root palette (green #76b900 accent, NVIDIA Sans with system fallback). Wordmark in text — no fabricated NVIDIA logo.

Rules

  • Real, accurate content — no marketing fluff. The deck explains the actual thing; don't overclaim. (Same honesty bar as the demo it accompanies.)
  • Self-contained or it doesn't ship. A single external dependency breaks the offline/projector promise.
  • Commit-ready by default. Generic content, no personal/machine specifics, no invented logos.

Validate before you ship

Decks fail silently — a malformed <svg> just doesn't render. Before committing:

  • Parse every inline <svg> as XML. Inline SVG is held to a stricter bar than the surrounding HTML: a bare &, an unclosed tag, or a stray attribute that a browser tolerates in HTML makes the whole <svg> fail to draw. Escape & as &amp;, </> as &lt;/&gt;. Quick check:

    python3 - <<'PY'
    import re; from xml.dom import minidom
    html = open("demos/your-deck.html").read()
    for n, s in enumerate(re.findall(r'<svg\b.*?</svg>', html, re.DOTALL), 1):
        minidom.parseString(s); print(f"svg #{n}: well-formed")
    PY
    
  • Open it in a browser and arrow through every slide; check each diagram/code block fits the viewport (cap max-height; slides scroll internally as a fallback). If you can't open a browser, at minimum confirm each diagram's viewBox height stays within its max-height cap.

Worked example

demos/evidence-demo-slides.html — nine slides (problem → mechanics → diagrams → payoff → roadmap), four hand-built SVG diagrams, keyboard nav, dark theme.

Common mistakes

  • External fonts/CSS/JS → dies offline or on the projector. Inline everything.
  • Wall of text per slide → one idea per slide; split instead.
  • Fabricated logo or marketing fluff → text wordmark, real content.
  • SVG taller than the viewport → set max-height; verify in a browser.

nvidiaのその他のスキル

fhir-basics
nvidia
エージェントにFHIR R4 APIの動作方法、利用可能なリソース、検索パラメータを使ったクエリ方法、およびすべてのレスポンス形式を正しく解析する方法を教えます…
compileiq-validate-result
nvidia
検索が完了した後、かつスピードアップの申請やACFの発送の前に使用します。dump_results CSVを読み込み、トップK候補(単一目的)を抽出します…
changelog-audit
nvidia
リリース前にWarp CHANGELOG.mdを監査:失われたエントリを復元、ユーザー影響で並べ替え、エントリの文言を洗練、行折り返し、および(リリースブランチモードで)比較をバンプ…
dgx-diagnose
nvidia
一般的なDGX Station GB300の問題(CUDAクラッシュ、誤ったGPUターゲット、vLLM/SGLangコンテナのバグ、MIG状態の問題、NVLink/Fabric Managerエラーなど)を診断します。
aicr-managing-openvex
nvidia
Use when adding, updating, or removing CVE/GHSA suppressions in `.openvex.json` — the OpenVEX document consumed by the daily image vulnerability scan workflow.…
aicr-creating-guided-demos
nvidia
インタラクティブなガイド付きデモスクリプト(demos/*.sh)を、ライブ形式またはセルフペース形式で、Frame → Tell → Show → Close パターンに沿って作成します。「デモスクリプト」「ガイド付き…」というトリガーで起動します。
aicr-analyzing-snapshots
nvidia
AICRスナップショットYAMLファイルを分析する際、クラスタ状態を確認する際、プロバイダー特性を比較する際、GPU/ネットワークトポロジーの洞察を抽出する際、または…に使用します。
aicr-release-notes
nvidia
今後のAICRリリースのための、人間が読めるGitHubリリースノートの要約を作成する際に使用します。「release notes」「draft release…」などのフレーズでトリガーされます。