PPT as Code
Russell-cell/PPT-as-code
Plans and builds HTML-based web presentations through staged quick, basic or advanced workflows, with optional visualization planning, motion, a workbench and PPTX export handoff.
Creates zero-dependency, animation-rich HTML slide decks that run in the browser, with style presets, PowerPoint conversion and PDF export, proven by a real-browser render.
$ npx skills add beefiker/superloopy --skill superloopy-slides -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install beefiker/superloopy superloopy-slides --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/beefiker/superloopy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/superloopy-slides .claude/skills/superloopy-slides && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "superloopy-slides" agent skill from https://github.com/beefiker/superloopy/tree/main/skills/superloopy-slides into .claude/skills/superloopy-slides/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "superloopy-slides", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/beefiker/superloopy/tree/main/skills/superloopy-slidesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add beefiker/superloopy --skill superloopy-slides -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install beefiker/superloopy superloopy-slides --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/beefiker/superloopy.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/superloopy-slides .agents/skills/superloopy-slides && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "superloopy-slides" agent skill from https://github.com/beefiker/superloopy/tree/main/skills/superloopy-slides into .agents/skills/superloopy-slides/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "superloopy-slides", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add beefiker/superloopy --skill superloopy-slides -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install beefiker/superloopy superloopy-slides --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/beefiker/superloopy.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/superloopy-slides .cursor/skills/superloopy-slides && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "superloopy-slides" agent skill from https://github.com/beefiker/superloopy/tree/main/skills/superloopy-slides into .cursor/skills/superloopy-slides/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "superloopy-slides", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/beefiker/superloopy.git --path skills/superloopy-slides--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add beefiker/superloopy --skill superloopy-slides -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install beefiker/superloopy superloopy-slides --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/beefiker/superloopy.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/superloopy-slides .gemini/skills/superloopy-slides && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "superloopy-slides" agent skill from https://github.com/beefiker/superloopy/tree/main/skills/superloopy-slides into .gemini/skills/superloopy-slides/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "superloopy-slides", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install beefiker/superloopy superloopy-slidesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add beefiker/superloopy --skill superloopy-slides -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/beefiker/superloopy.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/superloopy-slides .github/skills/superloopy-slides && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "superloopy-slides" agent skill from https://github.com/beefiker/superloopy/tree/main/skills/superloopy-slides into .github/skills/superloopy-slides/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "superloopy-slides", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add beefiker/superloopy --skill superloopy-slides -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install beefiker/superloopy superloopy-slides --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/beefiker/superloopy.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/superloopy-slides .opencode/skills/superloopy-slides && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "superloopy-slides" agent skill from https://github.com/beefiker/superloopy/tree/main/skills/superloopy-slides into .opencode/skills/superloopy-slides/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "superloopy-slides", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
superloopy-slidesCreates zero-dependency, animation-rich HTML slide decks that run in the browser, with style presets, PowerPoint conversion and PDF export, proven by a real-browser render.
Each deck is a single HTML file with inline CSS and JavaScript, no npm and no build tools, drawn on a fixed 16:9 stage of 1920×1080 that is scaled as a whole to the viewport, so slides never reflow on phones. The skill favors showing visual previews over abstract choices, reads lightweight style indexes first and loads a full template design file only after you pick one. Bundled files include style presets, animation patterns, a deck stage script and a pack of named bold templates, each with a design and preview file.
A deck counts as done only when a real-browser visual artifact under the evidence root set by `SUPERLOOPY_EVIDENCE` shows it rendering correctly, and replies open with a fixed marker line. Design rules reject generic AI-looking output and require honest assets: no mock-ups passed off as product captures, no invented metrics or testimonials and no shipped placeholder names or filler copy. It covers creating, converting, styling, animating, exporting and deploying decks, but not general web pages or landing pages.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4bb19dd. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (JavaScript, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
bashnpxvercelpythonpipnodepython3brewFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
vercel.comfileloom-slides.pages.devnodejs.orggithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Superloopy Slides loads about 8.8k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 4,750 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from beefiker/superloopy at commit 4bb19dd, republished under its MIT licence (© beefiker). 4,750 words, ~8,841 tokens.
.claude/skills/superloopy-slides/SKILL.md (or your agent's skills folder). This skill also uses 112 other files; get the full folder from GitHub.Create zero-dependency, animation-rich HTML presentations that run entirely in the browser.
Live example — a multilingual deck built with this skill: https://fileloom-slides.pages.dev (English · 한국어 · 中文 · 日本語 · Español; single-file, embed-safe, on a fixed 16:9 stage).
This is a Superloopy skill: the deck is done only when a real-browser visual artifact proves it renders correctly — never when the HTML "looks complete" in source. Completion requires an artifact under the active evidence root via SUPERLOOPY_EVIDENCE.
Open your reply with SUPERLOOPY SLIDES ENABLED. If another active Superloopy mode mandates its own first line, print that first and this marker on the next line.
The anti-slop design rules below are this skill's own instance of the superloopy-frontend anti-slop contract, specialized for the fixed 1920×1080 slide stage. A presentation is campaign/editorial surface, so that contract's non-waivable core binds every deck: honest assets (no div-mock passed off as a product capture, no unauthorized marks, no invented metrics or testimonials), no shipped placeholder names/brands/filler copy, and a named authority for every kept default or waived check. Do not open a second superloopy-frontend pass on top of a deck — this skill owns the visual layer for presentations, including the evidence gate.
design.md only after the user picks that template.You tend to converge toward generic, "on distribution" outputs. In frontend design, this creates what users call the "AI slop" aesthetic. Avoid this: make creative, distinctive frontends that surprise and delight.
Focus on:
Avoid generic AI-generated aesthetics:
Interpret creatively and make unexpected choices that feel genuinely designed for the context. Vary between light and dark themes, different fonts, different aesthetics. You still tend to converge on common choices (Space Grotesk, for example) across generations. Avoid this: it is critical that you think outside the box!
These invariants apply to EVERY slide in EVERY presentation:
html-template.md: detect iframes (window.self !== window.top in try/catch), add .embed to <html>, scale by width only in embed mode, and set window.frameElement.style.height in a try/catch for same-origin hosts. Never position:fixed for the viewport or chrome; never rely on vh/% heights in embed mode — an auto-height iframe computes them as ~0 and locks the collapsed height in..deck-stage, after the slides, sized for the 1920×1080 canvas — chrome outside the stage does not scale in iframes and overlaps content when the deck shrinks..active / .visible using visibility, opacity, and pointer-events from viewport-base.css. Do not use display: none / display: block for slide switching; later layout classes such as .slide-content { display: flex; } can override them and make every slide visible at once.clamp() only for non-slide UI outside the stage, or for small fallback previews where a full stage is impractical.prefers-reduced-motion support-clamp(), -min(), -max() are silently ignored) — use calc(-1 * clamp(...)) insteadWhen generating, read viewport-base.css and include its full contents in every presentation.
Ask the user whether this is primarily a reading deck or a speaking deck, then design around that answer:
| Density mode | Best for | Design behavior |
|---|---|---|
| Low density / speaker-led | Public talks, keynote-style sharing, live explanation | One idea per slide, large type, strong visual hierarchy, generous negative space, 1-3 bullets max, more slides if needed |
| High density / reading-first | Reports, handouts, async review, detailed internal docs | More self-contained slides, structured grids/tables/annotations, 4-8 bullets or 4-6 cards when readable, tighter but still intentional spacing |
Baseline limits still apply: no scrolling, no overflow, no overlapping panels, and no text below comfortable reading size. If content exceeds the selected density mode, split it into more slides instead of shrinking until it becomes cramped.
Determine what the user wants:
When enhancing existing presentations, fixed-stage fitting is the biggest risk:
When adding images to existing slides: Move image to a new slide or reduce other content first. Never add images without checking if existing content already fills the 1920×1080 slide stage.
Ask ALL questions together so the user fills everything out at once. If the current environment provides a native structured-question UI, use it; otherwise ask in one concise message with clearly numbered choices:
Question 1 — Purpose (header: "Purpose"): What is this presentation for? Options: Pitch deck / Teaching-Tutorial / Conference talk / Internal presentation
Question 2 — Length (header: "Length"): Approximately how many slides? Options: Short 5-10 / Medium 10-20 / Long 20+
Question 3 — Content (header: "Content"): Do you have content ready? Options: All content ready / Rough notes / Topic only
Question 4 — Density (header: "Density"): How dense should the deck feel? Options:
Do not ask about inline editing during Phase 1. Users should not have to choose editing behavior before seeing a draft. Inline editing is a post-draft affordance: include it by default unless the user explicitly asks for a locked/export-only file.
Remember the user's density choice. It affects slide count, typography scale, amount of text per slide, layout density, and whether to favor cinematic presenter slides or self-contained reading slides.
If user has content, ask them to share it.
If user selected "No images" → skip to Phase 2.
If user provides an image folder:
image-first.md does — authorized capture, approved generated asset, or supplied reference — and never present a rebuilt mock as a real product screenshot or use marks the user is not authorized to showLogo in previews: If a usable logo was identified, embed it (base64) into each style preview in Phase 2 — the user sees their brand styled three different ways.
This is the "show, don't tell" phase. Most people can't articulate design preferences in words.
Based on purpose, audience, mood, and content density, generate 3 distinct single-slide HTML previews showing typography, colors, animation, and overall aesthetic.
Do not ask the user whether they want options or a preset picker. The default discovery experience is always visual comparison.
If the user already gave a vibe, use it. If they did not, infer the likely mood from the occasion, audience, content, and stakes. Keep the options diverse enough that the user can react visually instead of needing to articulate taste up front.
If the user explicitly names a preset or bold template, honor that as one option and generate the remaining preview slots around it.
Read STYLE_PRESETS.md for safe preset candidates. If bold-template-pack/selection-index.json exists, read that compact index too, but do not read any design.md files yet.
Brand-named direction (StyleGallery): when the user names a specific brand — directly or as a mood reference ("Stripe 느낌", "Linear처럼", "like Notion") — consult the frontend skill's brand library index at design/_INDEX.md, pick ONE matching teardown, and derive one preview slot's tokens from it — palette, type scale and weight attitude, radius, and motion tone — translated into 1920×1080 stage proportions. Inherit that library's contract: a teardown is scoped reference input, never automatic token authority; use public brand facts only, never clone a logo or trade dress, and name the teardown file in your message (and later in VISUAL_QA.md) as the provenance of that direction. Without a user-named brand or mood, do not open the gallery — the preset/bold-template mix below stays the default.
| Mood | Suggested Presets |
|---|---|
| Impressed/Confident | Bold Signal, Electric Studio, Dark Botanical |
| Excited/Energized | Creative Voltage, Neon Cyber, Split Pastel |
| Calm/Focused | Notebook Tabs, Paper & Ink, Swiss Modern |
| Inspired/Moved | Dark Botanical, Vintage Editorial, Pastel Geometry |
Preview mix rules:
STYLE_PRESETS.md, at least 1 bold template from bold-template-pack/selection-index.json, and 1 wildcard.Custom wildcard design rules:
Bold template selection rules:
mood, tone, best_for, avoid_for, formality, density, and scheme.best_for examples as soft signals, not strict industry filters.preview.md files from the preview_md paths in the selection index.preview.md only for title-slide previews. Do not read full design.md files until the user picks the final template.template.html unless the selected final design.md is missing a critical implementation detail.Preview authenticity rules (NON-NEGOTIABLE):
preview, generated from, preview.md, template, preset, style option, Option A/B/C, file names, paths, or source-doc labels.Save previews to .slides/previews/ (style-a.html, style-b.html, style-c.html). Each should be self-contained and compact, showing one animated title slide.
Open each preview automatically for the user.
Ask (header: "Style"): Which style preview do you prefer? Options: Style A: [Name] / Style B: [Name] / Style C: [Name] / Mix elements
If "Mix elements", ask for specifics.
The style choice belongs to the user — do not skip it. The three-preview comparison is the core of this skill. If the structured question times out (the harness gives up after a short wait), do NOT proceed with a default style: re-ask the question, and if it times out again, stop and wait for the user's reply in plain text. Only pick a style yourself when the user has explicitly delegated the choice ("you pick", "surprise me") or asked for a fully unattended run.
Generate the full presentation using content from Phase 1 (text, or text + curated images) and style from Phase 2.
If images were provided, the slide outline already incorporates them from Step 1.2. If not, CSS-generated visuals (gradients, shapes, patterns) provide visual interest — this is a fully supported first-class path.
Apply the user's density choice throughout the deck:
If the user's stated needs are mixed, choose the closer of the two modes instead of inventing a middle option: live audience persuasion defaults low-density; async circulation or detailed review defaults high-density.
Never let high density become visual clutter. If a high-density slide starts to overflow, split it or redesign it into a clearer structure.
If the user selected a bold template from bold-template-pack, read that one template's full design.md before generating. Do not read the other bold templates. Treat design.md as the design recipe:
deck-stage.js or viewport-fluid CSS.design.md as design proportions to translate into 1920×1080 stage coordinates. Do not keep them as live viewport reflow rules in the final deck.template.html only as a last-resort implementation reference for the selected template.scrollHeight checks alone are not enough because grid panels can visually cover each other.If the user selected a self-generated custom wildcard, treat that preview's CSS and layout as the design recipe:
Before generating, read these supporting files:
motion-core.md): animate transform/opacity/filter only, and respect prefers-reduced-motionKey requirements:
<style> block/* === SECTION NAME === */ comment blockWhen converting PowerPoint files:
Helper script paths: the packaged scripts live in THIS skill's directory, not the user's project. In every command below,
$SKILL_DIRmeans this skill's base directory (announced when the skill loads) — e.g.SKILL_DIR=~/.claude/skills/slides. Runningbash scripts/...from the project root will fail with "No such file or directory".
python "$SKILL_DIR/scripts/extract-pptx.py" <input.pptx> <output_dir> (install python-pptx if needed: pip install python-pptx)A deck that parses is not verified. Before declaring done, capture real-browser evidence under .superloopy/evidence/slides/<timestamp>-<slug>/. Create and verify that run root with the frontend skill's portable helper so path rules stay identical across skills — node "$SKILL_DIR/../superloopy-frontend/scripts/evidence-root.mjs" create <slug> slides to create it ($SKILL_DIR is this skill's base directory, announced when the skill loads, and superloopy-frontend is packaged as its sibling), and ... verify <root> <file...> to prove each artifact is a non-empty regular file confined beneath it:
width="900" height="60"), serve the directory over local HTTP (python3 -m http.server; file:// iframes are opaque-origin and skip the same-origin resize path), and screenshot it: the deck must grow the iframe to 16:9 of its width with no overlap and with chrome scaled. Delete the harness after capture or keep it in the evidence directory.scrollHeight checks alone are not enough; grid panels can visually cover each other.VISUAL_QA.md in the evidence directory listing each screenshot, what it proves, and any finding fixed. An open finding is a FAIL — fix and re-capture. Also record the non-waivable core check (assets honest, no placeholder names/brands/filler copy shipped) and, when a StyleGallery teardown informed the style, name that teardown file as provenance.superloopy loop evidence --status pass --artifact .superloopy/evidence/slides/<slug>/VISUAL_QA.md --notes "<deck, style, slide count>", and end the reply with SUPERLOOPY_EVIDENCE: <that path>.Then deliver:
.slides/previews/ if it existsopen [filename].html to launch in browser<script>, host the file (attachment URL, internal static hosting, or Vercel) and embed by URL: <iframe src="…" style="width:100%;aspect-ratio:16/9;border:0" allowfullscreen>:root CSS variables for colors, font link for typography, .reveal class for animationsAfter delivery, ask the user: "Would you like to share this presentation? I can deploy it to a live URL (works on any device including phones) or export it as a PDF."
Options:
If the user declines, stop here. If they choose one or both, proceed below.
This deploys the presentation to Vercel — a free hosting platform. The link works on any device (phones, tablets, laptops) and stays live until the user takes it down.
If the user has never deployed before, guide them step by step:
Check if Vercel CLI is installed — Run npx vercel --version. If not found, install Node.js first (brew install node on macOS, or download from https://nodejs.org).
Check if user is logged in — Run npx vercel whoami.
vercel login and follow the prompts (it opens a browser window to authorize)vercel whoamiDeploy — Run the deploy script:
bash "$SKILL_DIR/scripts/deploy.sh" <path-to-presentation>The script accepts either a folder (with index.html) or a single HTML file.
Share the URL — Tell the user:
⚠ Deployment gotchas:
src="..." in the HTML and bundles them. But if the presentation references files via CSS background-image or unusual paths, those may be missed. Before deploying, verify: open the deployed URL and check that all images load. If any are broken, the safest fix is to put the HTML and all its assets into a single folder and deploy the folder instead of a standalone HTML file.my-deck/index.html + my-deck/logo.png), deploy the folder directly: bash "$SKILL_DIR/scripts/deploy.sh" ./my-deck/. This is more reliable than deploying a single HTML file because the entire folder contents are uploaded as-is.%20. If possible, avoid spaces in image filenames. If the user's images have spaces, the script handles it — but if images still break, renaming files to use hyphens instead of spaces is the fix.This captures each slide as a screenshot and combines them into a PDF. Perfect for email attachments, embedding in documents, or printing.
Note: Animations and interactivity are not preserved — the PDF is a static snapshot. This is normal and expected; mention it to the user so they're not surprised.
Run the export script:
bash "$SKILL_DIR/scripts/export-pdf.sh" <path-to-html> [output.pdf]If no output path is given, the PDF is saved next to the HTML file.
What happens behind the scenes (explain briefly to the user):
If Playwright installation fails:
npx playwright install chromiumDeliver the PDF — The script auto-opens it. Tell the user:
⚠ PDF export gotchas:
class="slide". The export script finds slides by querying .slide elements. If the presentation uses a different class name, the script will report "0 slides found" and fail. All presentations generated by this skill use .slide, so this only matters for externally-created HTML.src="/Users/name/photo.png") instead of relative paths (e.g., src="photo.png"), they won't load. Generated presentations always use relative paths, but converted or user-provided decks might not — check and fix if needed.src="photo.png" resolve correctly — including filenames with spaces. If images still don't appear, check: (1) the image files actually exist at the referenced path, (2) the paths are relative, not absolute filesystem paths like /Users/name/photo.png.--compact flag:bash "$SKILL_DIR/scripts/export-pdf.sh" <path-to-html> [output.pdf] --compact| File | Purpose | When to Read |
|---|---|---|
| STYLE_PRESETS.md | 12 curated visual presets with colors, fonts, and signature elements | Phase 2 (style selection) |
| bold-template-pack/selection-index.json | Compact bold template metadata for candidate selection | Phase 2 (style selection) |
| bold-template-pack/templates/*/preview.md | Lightweight style cards for shortlisted bold title previews | Phase 2 after shortlisting |
| bold-template-pack/templates/*/design.md | Detailed design-system docs for the selected bold template only | Phase 3 after user selection |
| viewport-base.css | Mandatory fixed-stage CSS — copy into every presentation | Phase 3 (generation) |
| html-template.md | HTML structure, JS features, code quality standards | Phase 3 (generation) |
| animation-patterns.md | CSS/JS animation snippets and effect-to-feeling guide | Phase 3 (generation) |
| scripts/extract-pptx.py | Python script for PPT content extraction | Phase 4 (conversion) |
| scripts/deploy.sh | Deploy slides to Vercel for instant sharing | Phase 6 (sharing) |
| scripts/export-pdf.sh | Export slides to PDF | Phase 6 (sharing) |
Adapted from frontend-slides by Zara Zhang (MIT, see LICENSE); Superloopy evidence-spine integration added.
© beefiker, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 112 other files (scripts) in skills/superloopy-slides of beefiker/superloopy.
Open the folder on GitHubat commit 4bb19dd
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in beefiker/superloopy, which our catalogue first saw on October 7, 2026.
Superloopy Slides next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Superloopy Slides this skillbeefiker/superloopy | 111 | 1 repos | ~8.8k | Automated safety check: Pass | MIT | |
| PPT as CodeRussell-cell/PPT-as-code | 191 | — | ~11k | Automated safety check: Pass | MIT | |
| Data Viz Deckthatrebeccarae/claude-marketing | 162 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Qiaomu Bento Pptjoeseesun/qiaomu-bento-ppt | 127 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Ky Markdown RebuilderKyrieCheungYep/ky-markdown-rebuilder | 117 | — | ~5.7k | Automated safety check: Pass | None | |
| Sci HTMLShZhao27208/Aut_Sci_Write | 208 | — | ~1.4k | Automated safety check: Notes | MIT |
Russell-cell/PPT-as-code
Plans and builds HTML-based web presentations through staged quick, basic or advanced workflows, with optional visualization planning, motion, a workbench and PPTX export handoff.
thatrebeccarae/claude-marketing
Transform audit data, performance reports, and structured analyses into polished visual deliverables.
joeseesun/qiaomu-bento-ppt
Use the standalone qiaomu-bento-ppt skill to create or edit qiaomu-style bento presentations as self-contained .bento.html files from briefs, notes, reports, URLs, data, or existing bento decks.
KyrieCheungYep/ky-markdown-rebuilder
Rebuild visual documents into reliable Markdown by combining text extraction with page or screenshot alignment.
ShZhao27208/Aut_Sci_Write
Generate academic presentation-style HTML slide decks and browser reports from PDFs, structured text, Markdown, paper summaries, outlines, or research notes.
lawve-ai/awesome-legal-skills
Turn an interpretive-ambiguity audit of a legal text — contract, statute, regulation, or judicial opinion — into a polished deliverable.
beefiker/superloopy
Rewrites already-written Korean text to remove AI-sounding rhythm and translationese while keeping its meaning, register, facts and protected terms untouched.
beefiker/superloopy
Routes backend work in the Superloopy loop harness to the right reference module, covering API contracts, schema migrations, transactions, background jobs, caching and security.
beefiker/superloopy
A read-only health check for a Superloopy install or checkout: state folders, evidence files, bundled agents, hooks, wrapper and plugin registration, reported before any repair.
beefiker/superloopy
Runs a light task loop where each goal criterion passes only when a real evidence artifact exists, with progress stored in a `.superloopy` folder.
beefiker/superloopy
Reshapes the agent's replies for an ADHD-friendly reading style: the next action first, numbered single-action steps, visible progress and one concrete action at the end.
beefiker/superloopy
Use only after explicit Codex $superloopy:say-it-straight or Claude Code /superloopy:say-it-straight invocation to make supplied or requested prose direct, concise, and natural without changing…
Works with
Categories
Creates zero-dependency, animation-rich HTML slide decks that run in the browser, with style presets, PowerPoint conversion and PDF export, proven by a real-browser render. Each deck is a single HTML file with inline CSS and JavaScript, no npm and no build tools, drawn on a fixed 16:9 stage of 1920×1080 that is scaled as a whole to the viewport, so slides never reflow on phones. The skill favors showing visual previews over abstract choices, reads lightweight style indexes first and loads a full template design file only after you pick one.
Superloopy Slides fits situations like: building a single-file HTML presentation or pitch deck; converting a PowerPoint file into an animated browser deck; exploring visual styles for a talk before committing to one; exporting a deck to PDF or deploying it for sharing.
Run `npx skills add beefiker/superloopy --skill superloopy-slides -a claude-code`. Or copy the skill folder (skills/superloopy-slides in beefiker/superloopy) into .claude/skills/superloopy-slides in your project. Claude Code loads it when a task matches its description.
Run `npx skills add beefiker/superloopy --skill superloopy-slides -a codex`. Or copy the skill folder (skills/superloopy-slides in beefiker/superloopy) into .agents/skills/superloopy-slides in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add beefiker/superloopy --skill superloopy-slides -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/superloopy-slides, .gemini/skills/superloopy-slides, .github/skills/superloopy-slides and .opencode/skills/superloopy-slides in your project.
Going by SKILL.md and its folder, Superloopy Slides needs JavaScript for the scripts in its folder and the command-line tools its instructions call (bash, npx, vercel, python, pip and node). Our summary lists: A real browser to produce the visual proof; An evidence root set through SUPERLOOPY_EVIDENCE.
SKILL.md names 4 domains. As links in the text: vercel.com, fileloom-slides.pages.dev, nodejs.org and github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Superloopy Slides is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 8.8k tokens (SKILL.md is roughly 35k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Superloopy Slides: PPT as Code (Russell-cell/PPT-as-code, 191 stars), Data Viz Deck (thatrebeccarae/claude-marketing, 162 stars), Qiaomu Bento Ppt (joeseesun/qiaomu-bento-ppt, 127 stars) and Ky Markdown Rebuilder (KyrieCheungYep/ky-markdown-rebuilder, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
beefiker (a GitHub user) maintains it in beefiker/superloopy, which has 111 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 6, 2026.
Source: beefiker/superloopy on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.