nomadamas/slides-grab · Archived

slides-grab-html

HTML-mode presentation pipeline usable in Codex and Claude Code.

First seen Aug 8, 2026

Installation

$ npx skills add nomadamas/slides-grab --skill slides-grab-html

Summary

  • HTML-mode presentation pipeline usable in Codex and Claude Code.
  • Build semantic slide-XX.html files, generate bespoke hero/accent imagery with slides-grab image, run the design gate, and export.
  • Use when the deck needs editable, searchable, accessible text or when no existing template must be matched pixel-for-pixel.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 1.2K
License LICENSE
Default branch main
Open issues 4
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code codex
More metadata
short-description
Semantic HTML slide pipeline with bespoke imagery

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,558 B
  • docs SUMMARY.md 342 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 5 installs

SKILL.md

slides-grab HTML Skill

Build semantic slide-XX.html files where text is real HTML (selectable, editable, accessible) and imagery is generated as supporting accent/hero assets — never as whole-slide rasters. Use this pipeline when the user wants a deck they can edit, when slides contain charts or diagrams, or when no existing template demands pixel-perfect visual matching.

Mode signal

The plan stage records mode: html in slide-outline.md. If no mode is recorded, default to this pipeline.

Bespoke imagery rule

  • Use slides-grab image to generate individual hero/accent images that sit beside or behind semantic text inside an HTML slide. The generated image is a supporting visual — text and layout stay in HTML/CSS.
  • A bespoke image prompt describes the accent visual only — the atmospheric mood, the hero illustration, the background texture — not the slide's title, body copy, or layout. Let HTML handle text and layout.
  • Good prompt: "Atmospheric dawn horizon, cyan and silver tones, dreamy Y2K mood, no text, 16:9" — describes a hero background.
  • If you instead need the generated image to BE the whole slide (title, body, layout burned into the raster), use the image-native pipeline (../slides-grab-image/SKILL.md) — semantic HTML is the wrong tool for that.

Workflow

Stage 1 — Plan

Use the installed slides-grab-plan skill.

  1. Take topic, audience, and tone.
  2. Run slides-grab list-styles, shortlist 2–3 bundled styles, get explicit approval. Optionally offer slides-grab preview-styles. If none fit, propose a custom direction. If the user provides a reference template/PDF/PPTX for color tokens only (not pixel-perfect matching), import it with slides-grab import-template and record style: template-pack — the template pack supplies design tokens, but slides stay semantic HTML.
  3. Record mode: html in slide-outline.md meta.
  4. Present outline, revise until approved.

Stage 2 — Design

Use the installed slides-grab-design skill.

  1. Read approved slide-outline.md, load the style spec (src/design-styles-data.js for bundled ids, slides-grab show-design for DESIGN.slides.md, or .slides-grab/template-pack.json for imported packs).
  2. Write a visual thesis, content plan, system declaration, and design tokens before generating slides.
  3. Generate slide-XX.html semantic HTML files with 2-digit numbering in --slides-dir.
  4. Bespoke imagery: when a slide needs a hero/accent image, run slides-grab image --prompt "<accent-visual prompt>" --slides-dir <path>. The default codex provider reuses the local Codex ChatGPT login (~/.codex/auth.json — run codex login once; no API key required). Save under <slides-dir>/assets/. To guide the style, pass reference images with --reference <path> (repeatable). Optional providers: --provider openai (OpenAI gpt-image-2 via OPENAIAPIKEY), --provider nano-banana (Google gemini-3-pro-image-preview via GOOGLEAPIKEY/GEMINIAPIKEY, supports --image-size 2K|4K). If credentials are unavailable, fall back to web search + download into <slides-dir>/assets/.
  5. Diagrams: for complex diagrams (architecture, workflows, relationship maps), use tldraw via slides-grab tldraw, store under <slides-dir>/assets/.
  6. Charts: default to Chart.js (<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>;), start from templates/chart.html, keep animation: false, responsive: true, maintainAspectRatio: false, wrap <canvas> in a stable container. slides-grab validate reports empty-canvas for unpainted canvases.
  7. Video: store under <slides-dir>/assets/, prefer poster="./assets/<file>". Use slides-grab fetch-video or yt-dlp for web sources.
  8. Icons: prefer Lucide before emoji.
  9. Run slides-grab validate --slides-dir <path>. Auto-fix failures until it passes.
  10. Run the design gate (../slides-grab-design/references/design-gate.md): capture PNG evidence, run Pass A (System Contract) + Pass B (Audience Impact), synthesize verdict. Resolve all Critical findings, re-render, re-review until Proceed. Record with slides-grab design-gate --slides-dir <path> --verdict proceed --pass-a-report <a.md> --pass-b-report <b.md>.
  11. Launch the HTML editor: slides-grab edit --slides-dir <path>. For chart decks, also run slides-grab build-viewer and confirm charts render in viewer.html.

Stage 3 — Export

Use the installed slides-grab-export skill. Requires a fresh Proceed gate receipt.

  1. Widescreen → slides-grab pdf --slides-dir <path> --output <name>.pdf.
  2. Per-slide PNG → slides-grab png --slides-dir <path> --output-dir <path>/out-png --resolution 2160p.
  3. Card-news → slides-grab png --slide-mode card-news (see ../slides-grab-card-news).
  4. PPTX/Figma (experimental / unstable) → slides-grab convert / slides-grab figma.

Rules

  • Keep slide size 720pt × 405pt.
  • Keep semantic text tags (p, h1-h6, ul, ol, li). Never put text directly in <div>/<span>.
  • Backgrounds only on <div>; text only in semantic tags.
  • No CSS gradients — use flat fills; rasterize gradients to PNG with Sharp if needed.
  • Put local images/videos under <slides-dir>/assets/, reference as ./assets/<file>.
  • Allow data: URLs when a slide must be self-contained; never leave remote http(s):// image URLs in saved HTML.
  • Prefer Lucide for iconography; avoid emoji unless the brief explicitly asks.
  • Keep body copy ≥14pt on a 720pt × 405pt slide; 10pt absolute floor.
  • Avoid AI slop tropes (aggressive gradient backgrounds, left-border accent cards, SVG-drawn imagery, generic font stacks, generic 3×2 icon-plus-blurb grids).
  • Do not present slides for review until slides-grab validate passes.
  • Do not advance to export while any Critical design-gate finding is unresolved.

Reference

  • ../slides-grab-plan/SKILL.md and ../slides-grab-plan/references/
  • ../slides-grab-design/SKILL.md and ../slides-grab-design/references/
  • ../slides-grab-export/SKILL.md and ../slides-grab-export/references/