present
Generate interactive HTML presentations with professional ElevenLabs voiceover narration synced to slides. Supports dual article/slides mode, scroll-reveal animations, GPT Image 2 illustrations, and configurable detail levels. Use this skill when the user wants to create a presentation, slide deck, narrated briefing, research report with voiceover, or any content that should be presentable as both a readable article and a navigable slide deck. Also triggers on "make a presentation", "create slides", "present this", "narrated deck", "voiceover slides", "briefing with audio", or requests to turn research/notes into a shareable presentation. Works with any content — research findings, meeting summaries, proposals, educational material.
What this skill does
# Present — Narrated Interactive Presentations Generate a self-contained HTML presentation with dual article/slides mode, ElevenLabs narration, optional GPT Image 2 illustrations, and scroll-reveal animations. ## What This Skill Produces A single `index.html` file (plus audio and optional image assets) that can be: - Opened locally in a browser - Deployed to Vercel, Netlify, or any static host - Shared as a folder The output has two modes the viewer can toggle between: 1. **Article mode** — long-form scrollable report with Tufte-inspired typography 2. **Slides mode** — navigable presentation with keyboard/click navigation and narrated audio playback ## Quick Start ``` /present "AI adoption research for Arseny" --slides 12 --voice daniel --images risograph ``` Or with a file: ``` /present path/to/research.md --detail detailed --voice alice ``` ## Parameters | Parameter | Values | Default | Description | |-----------|--------|---------|-------------| | `--slides` | 5-20 | 12 | Number of slides | | `--detail` | `executive`, `standard`, `detailed` | `standard` | Content depth | | `--voice` | ElevenLabs voice name | `daniel` | Narrator voice | | `--images` | style name or `none` | `none` | Image generation style | | `--image-prompt` | custom string | auto | Override image prompt prefix | | `--output` | path | `./presentation/` | Output directory | | `--deploy` | vercel project or `none` | `none` | Auto-deploy target | | `--title` | string | auto | Presentation title | | `--no-audio` | flag | false | Skip audio generation | ### Detail Levels - **`executive`** (5-7 slides): Key findings only. One stat slide, one recommendation slide, sources. Best for busy stakeholders who need the bottom line. - **`standard`** (10-14 slides): Full narrative arc. Problem, evidence, analysis, recommendations, sources. The default for most presentations. - **`detailed`** (15-20 slides): Deep dive. Includes methodology, multiple evidence sections, case studies, detailed recommendations with implementation steps. ### Voice Options Uses ElevenLabs API. The key must be available in `~/claude-skills/elevenlabs-tts/.env` as `ELEVENLABS_API_KEY`. Recommended voices for presentations: - **daniel** — Steady Broadcaster, British, formal (default) - **alice** — Clear Educator, British, professional - **matilda** — Knowledgeable, American, upbeat - **brian** — Deep Resonant, American, comforting - **george** — Warm Storyteller, British, mature ### Image Styles When `--images` is set, the skill generates illustrations for key slides using GPT Image 2 (`~/.claude/skills/gpt-image-2/scripts/gpt_image_2.py`). Available styles: - `risograph` — Gerd Arntz isotype style, muted colors, sand texture - `editorial` — Magazine photography style, dramatic lighting - `blueprint` — Technical drawing aesthetic, white on blue - `ink` — Black ink illustration, hand-drawn feel - `constellation` — Data visualization aesthetic, dots and lines - Custom: pass `--image-prompt "your style description"` to override Images are generated in `--draft` mode first (~$0.006/image). The skill decides which slides benefit from illustration (typically 3-5 out of 12). ## Workflow ### Step 1: Content Analysis Read the input content (a topic description, a markdown file, vault notes, meeting transcript, or research). Identify: - The core argument or narrative - Key data points and statistics - Natural section breaks - Quotable findings with sources ### Step 2: Slide Planning Based on `--detail` and `--slides`, create a slide plan. Each slide needs: ``` Slide N: [Type] — [Title] Content: [what appears on screen] Narration: [what the voice says — always more than what's on screen] Read time: [seconds for an average reader to absorb the visual content] Image: [yes/no, with prompt if yes] ``` Slide types: `title`, `summary`, `stat`, `evidence`, `comparison`, `quote`, `framework`, `recommendation`, `case-study`, `sources` The narration script should be conversational and add context beyond what's displayed. It should NOT just read the slide text aloud — it should explain, connect, and elaborate. Target 15-30 seconds of narration per slide. ### Step 3: Generate Audio For each slide, generate narration using ElevenLabs: ```bash python3 ~/.claude/skills/elevenlabs-tts/scripts/elevenlabs_tts.py \ --voice <voice_name> \ --text "<narration>" \ --output <output_dir>/audio/slide-<N>.mp3 ``` Or use the direct API via the script at `scripts/generate_audio.py` in this skill. Also generate a transition sound (Rhodes chord) for slide-to-slide transitions. After generation, get durations with ffprobe to calculate slide timing. ### Step 4: Generate Images (if enabled) For slides that benefit from illustration, generate images using GPT Image 2: ```bash python3 ~/.claude/skills/gpt-image-2/scripts/gpt_image_2.py --draft --size 1536x1024 \ "<style prefix> <slide-specific prompt>" \ <output_dir>/images/<name>.png ``` Typically generate 3-5 images for a 12-slide deck. Choose slides where a visual metaphor strengthens the point — stat slides, concept slides, and the title slide are good candidates. Don't illustrate every slide. ### Step 5: Build HTML Use the template at `assets/template.html` as the base. The template includes: - **Typography**: EB Garamond (body) + DM Sans (labels/numbers) - **Color palette**: Configurable via CSS variables in `:root` - **Article mode**: Tufte-inspired layout with executive summary box, stat cards, two-column sections, data tables - **Slides mode**: Full-viewport slides with fade transitions, keyboard navigation (arrows, space), dot indicators - **Audio engine**: Single reusable `<audio>` element, slide-synced playback with progress bar, transition sounds between slides - **Auto-hide controls**: Top bar (mode switcher + audio) appears when cursor enters top 20% of viewport. Bottom nav appears in bottom 20%. Shift+. toggles always-show/always-hide/zone mode. - **Scroll-reveal animations**: Intersection Observer-based fade-up for sections, staggered stat cards, animated counters, h2 rule-draw effect - **`prefers-reduced-motion`**: All animations disabled when user prefers reduced motion Populate the template by replacing placeholder sections with the actual slide and article content. ### Step 6: Test Open in browser using `/real-browser` or `open <path>`. Verify: - [ ] Article mode renders correctly, images load - [ ] Slides mode: all slides navigable, text fits within viewport - [ ] Audio plays when play button is clicked - [ ] Audio syncs to slide advancement (each slide waits for narration + read time) - [ ] Transition sounds play between slides - [ ] Auto-hide works for top and bottom bars - [ ] Keyboard navigation (arrows, space) works in slide mode ### Step 7: Deploy (if requested) If `--deploy` is set, copy output to the target project's `public/` folder and deploy: ```bash cp -r <output_dir>/* <project_path>/public/<slug>/ cd <project_path> && vercel deploy --prod --yes ``` ## HTML Architecture ### Audio Sync Model Each slide has three timing properties: - `data-audio="slide-name"` — maps to audio file - `data-read-time="N"` — seconds for reading the visual content The audio engine calculates: `slide_duration = max(audio_duration, read_time) + 2s`. After narration ends, it waits for any remaining read time plus a 2-second buffer, plays a transition sound (1.8s), then advances to the next slide. ### Avoiding AI-Looking Formatting The following patterns read as AI-generated and should be avoided: - Colored left-bar + bold heading + description blocks (finding cards) - Large italic pull quotes with colored left border - Uniform card grids with icon + heading + description - Gradient text on metrics Instead use: - Natural prose paragraphs with inline emphasis - Definition lists (`<dl>`) for structured points - Tables for comparisons - Direct statements woven into flowing text ### Image Paths Use absolute paths from the deployment root: `/slug/imag
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