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superloopy-slides

Loop engineering for Codex, Claude Code, and Google Antigravity.

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项目 README

来源文件:README.md

抓取于 2026年9月13日

🌀 Superloopy

Loop engineering for Codex, Claude Code, and Google Antigravity. Type loopy <task> — an agent does the work, proves each piece with real evidence, and only then says it's done.

English · 한국어 · 中文(简体) · 日本語 · Español

franky zoro usopp jinbe robin nami

the crew — optional subagents, one job each

Use it

After installing, type your task in Codex, Claude Code, or Antigravity with a leading loopy:

loopy add the payments module

The agent plans it, proves each piece with a real file, and reports back — you don't run any commands yourself. The packaged Stop hook stays quiet unless SUPERLOOPY_STOP_HOOK=on. Set SUPERLOOPY_CALQUE_NUDGE=on to get an advisory note at your next prompt when the previous Korean reply carried an English calque such as 조용히 실패 or 우아하게 종료.

Why Superloopy?

Superloopy is for Codex, Claude Code, and Antigravity work where "done" needs to mean more than a confident status sentence.

  • Evidence-first: every pass points at a real artifact under .superloopy/evidence/.
  • Lightweight by default: one small CLI, repo-local state, zero runtime dependencies.
  • Agent-friendly: skills, hooks, and optional crew lanes guide the agent without hiding the final gate.

Guarantee scope. Command-backed criteria are the strong guarantee: at completion Superloopy re-runs each command in-process and requires it to reproduce, so a stale or fabricated pass cannot reach "done". Manual (commandless) criteria are verified as a non-empty evidence artifact plus auditor/human judgment — their correctness rests on review, not the deterministic re-run.

Skills

Superloopy keeps the command layer small. Skills carry the specialist workflow: when to use it, what the agent should inspect, and what proof must be left under .superloopy/evidence/.

SkillUse it whenWhat it produces
superloopy-loopYou type loopy <task> or loopy team <task> for a full loop; use loopywork, lpy, or $lpy for guidance-only context.Full loops produce direct, concise, complete progress and final responses alongside a lightweight plan, proof, quality gate, and final evidence report. Exact English/Korean controls affect only the current incomplete loop; new loops reset enabled. Guidance aliases do not mutate state.
superloopy-doctorYou diagnose install, wrapper, plugin cache, hook/bootstrap, agent, Codex/Claude Code host wiring, or stale-version problems.A read-only health report with wrapper/cache/version evidence, failing checks, and the exact repair command to run only if approved.
superloopy-researchYou explicitly invoke Codex $superloopy:superloopy-research or Claude Code /superloopy:superloopy-research, or start the research task with a leading loopy/루피 (such as loopy research). Plain research, investigate, or summarize requests do not activate it.Research axes, expansion waves, a verdict on every retrieval, graded and dated sources, a priced claim ledger, verification notes, and a cited synthesis artifact.
superloopy-cloneYou ask for loopy clone, authorized website cloning, rebuilding, migration, or pixel-focused page recovery.Browser captures, page topology, design tokens, asset inventory, implementation notes, build output, and visual QA evidence.
superloopy-frontendYou explicitly invoke Codex $superloopy:superloopy-frontend or Claude Code /superloopy:superloopy-frontend for supported screen-based application UI across browser-hosted Web (public, authenticated, private/internal, installed PWA, or extension), interactive deployed content-led Web (campaign, publication, or landing experiences with a user journey), desktop, mobile/tablet, embedded/hybrid clients, custom-rendered UI, Qt, or mixed targets, or start that work with a leading loopy/루피. Plain UI, platform, or framework terms do not activate it; TV, wearable, XR, automotive, game UI, TUI, static media/document artifacts, and non-UI work stay excluded.One shared UX contract plus platform/composition routes. Evidence is proportional to changed claims and independently covers each browser, native target/shell, renderer, and mixed target. Standalone runs retain run-scoped receipts; active loops bind them to the goal and criterion.
humanize-koreanUse when Korean users ask to remove AI tone, fix 번역투, or make Korean text sound human without changing facts.Owns Korean naturalness, including semantic review of misplaced modifiers and the P-family calque rules (조용히 실패, 우아하게 종료, 단일 진실 공급원). It writes final.md, summary.md, and audit.json; in Superloopy loops it records evidence under .superloopy/evidence/humanize-korean/.
i-have-adhdYou explicitly invoke Codex $superloopy:i-have-adhd or Claude Code /superloopy:i-have-adhd, or a leading loopy/루피 brief directly asks for ADHD-friendly, action-first, one-step, or easy-to-scan output. Writing style alone never activates it.Shapes progress updates so the next action stays visible. It does not create a Superloopy evidence artifact or weaken planning, safety, validation, or completion gates.
say-it-straightExplicit Codex $superloopy:say-it-straight or Claude /superloopy:say-it-straight for direct, concise, natural prose and supplied task artifacts; never activates from writing style alone. Full Loopy progress/final output is direct by default, with exact English/Korean controls limited to the current incomplete loop.Explicit artifact editing preserves facts, register, protected text, and required detail; file-backed edits use the audit. ADHD owns structure and Korean rewriting remains with humanize-korean.
superloopy-slidesYou ask for slides, a presentation, a deck, or a PPT/PPTX-to-web conversion.A zero-dependency single-file HTML deck on a fixed 16:9 stage, three style previews to pick from, and a rendered-screenshot visual-QA artifact under .superloopy/evidence/slides/.

Automatic reassurance-copy gate. Every full Loopy start or resume carries this conditional gate. It activates only when an affected artifact creates or changes user-visible Korean product-behavior copy, then adds RC-1 through RC-4 and humanize-korean naturalness review to the plan criterion. Internal logs and diagnostics, developer documentation and comments, test narration, quotations, general or marketing prose, and non-Korean copy are excluded. The gate uses supplied behavior and records a blocker or question when facts are missing instead of inventing an outcome; it has no standalone skill or invocation name.

The loop skill is the default guardrail. A complete leading loopy token starts or resumes the evidence loop; loopy team escalates to crew mode. Leading loopywork, lpy, and $lpy tokens only inject starter guidance. Structured SUPERLOOPY_STEER directives can adjust an active loop. Full-loop direct output never silently rewrites supplied prose or task artifacts: direct editing remains explicit-only. The prompt hook does not infer frontend or Korean-writing modes from ordinary text; invoke specialist skills explicitly or let an already-active loop route a real specialist subtask.

Clone Demo

Transferloom.com clone reference

superloopy-clone reproduced Transferloom.com locally and passed desktop/mobile browser validation. The reference run preserved the sticky nav, animated hero, app preview sections, comparison table, security panel, sister app banner, footer, local assets, and Superloopy evidence trail.

Slides Demo

Fileloom intro deck built with superloopy-slides

superloopy-slides generated this live multilingual deck → — a zero-dependency single-file HTML presentation on a fixed 16:9 stage in English · 한국어 · 中文 · 日本語 · Español. It passed real-browser visual-QA (standalone, phone letterbox, and iframe embed) recorded under .superloopy/evidence/slides/.

Writing Comparison Demo

Writing comparison app showing an original document next to its Say It Straight rewrite

The live writing-comparison viewer → puts one source document next to its humanize-korean (A), i-have-adhd (B), and say-it-straight (C) rewrites across fourteen Korean and English samples, plus eight benchmark fixtures with each skill's measured output and a benchmark page with the cost and latency numbers. Every Say It Straight edit carries a rationale note, and any comparison is shareable by URL.

Qt Kanban Demo

The Northstar Qt Kanban demo is a runnable Qt Quick prototype acceptance fixture built through the superloopy-frontend Qt route, not production-editor proof. Board, search, filters, cards, drawers, and task creation are exercised; Timeline and Inbox are visibly passive demo-only context, Settings and Help are absent, and persistence and Undo remain out of scope. With Qt 6.11.1, CMake, and Ninja available, configure, build, and launch it from the repository root:

qt-cmake -S examples/qt-kanban -B build/qt-kanban -G Ninja -DCMAKE_BUILD_TYPE=Release
cmake --build build/qt-kanban --parallel
build/qt-kanban/src/app/qtkanban --window-size 1600x1000

# macOS: verify the exported native accessibility contract
examples/qt-kanban/scripts/audit-macos-accessibility.sh \
  build/qt-kanban/src/app/qtkanban

The crew

For bigger work, Superloopy ships six optional subagents — each owns one lane. Claude Code uses the plugin-bundled agents/*.md. On Codex, bootstrap, superloopy install, and superloopy agents install materialize personal TOMLs under $CODEX_HOME/agents; model routing is resolved during that installation step.

Codex calls the stable model/list method only when resolution state is missing, the policy version or target changed, the cache is at least 24 hours old, or --refresh-models is supplied. When fresh state still matches the managed files, it reuses the exact manifest without a query or state rewrite. Profiles select the first supported complete model/effort/tier tuple: gpt-5.6-terra / high / priority for standard, gpt-5.6-sol / xhigh / priority for deep, and gpt-5.6-luna / low / fast for fast. If a preferred model is unavailable, that profile uses its explicit gpt-5.5 compatibility tuple. gpt-6-astra is allowed for the orchestrator (your own Codex session) when you select it in Codex; crew lanes keep their pins and never inherit the orchestrator's model. An unknown first probe conservatively selects policy compatibility; an unknown refresh preserves a valid existing resolution. --compat makes the compatibility choice deterministically without querying.

Upgrades from pre-managed Superloopy releases are hash-bound: a complete exact legacy fleet is adopted and upgraded without --force, while one edit, symlink, missing file, or unknown hash keeps the whole fleet in conflict. Changed agent definitions require a Codex restart; an unchanged fresh manifest does not. superloopy doctor --refresh-models can report preferred availability before managed state exists, detects a wrapper/plugin split-brain, and never rewrites resolution state or agent files.

Resolution finishes before launch, with no post-launch retry or model switch. The TOML pins configure routing, but a host that does not expose agent_type plus resolved-model attestation remains model_unverified; Superloopy never presents that as a proven GPT-5.6 runtime gate. The policy details are in docs/superloopy-model-policy.md (Codex) and docs/superloopy-model-policy-claude.md (Claude Code).

Installed-plugin truth. installedPluginTruth runs the read-only codex plugin list --json authority probe. A confirmed superloopy@beefiker version mismatch is informational in source scope, but fails installed scope. Missing Codex, no registered plugin, and invalid authority output stay informational and do not fail doctor. Never infer the installed version from cache directory names or repair without approval.

franky
franky
builds it
zoro
zoro
reviews it
usopp
usopp
tests it
jinbe
jinbe
gates it
robin
robin
audits it
nami
nami
finds it

Summon the crew with loopy team <task> — or loopy crew, the one-word loopycrew, or just ultrawork <task>. Superloopy fans the work out across the lanes in parallel and still proves every piece before it calls it done. A plain loopy <task> stays solo and only delegates when the slices are clearly independent.

For full crew runs, the parent records each lane with superloopy loop handoff, checks superloopy loop fleet --json, and keeps the human final gate report separate from the machine gate JSON. A gate report can be Markdown evidence; superloopy loop finish --artifact is for .json quality gate output.

When a tracked crew handoff finishes, Superloopy can print one original crew line before the normal handoff or fleet status. It follows the user's language from the assignment or scoped brief when it matches the supported catalog, with English as the safe fallback. The line is personality only; the verdict, evidence artifact, outstanding list, and attention list stay authoritative.

Works with Superpowers

Superloopy sits well next to the Superpowers plugin. They handle different halves of the same job, so you don't have to choose one.

  • Superpowers runs the front of the loop: brainstorming, planning, and its TDD and code-review methodology.
  • Superloopy runs the finish: command-backed criteria that re-run at completion, so "done" is proven, not just claimed.

When Superpowers is installed (on Codex or Claude Code), Superloopy notices and steers its own guidance to match. It leaves design, planning, and TDD to Superpowers and keeps itself as the outer evidence gate. Detection is best-effort and only shapes advice; it never weakens a gate. Set SUPERLOOPY_SUPERPOWERS=off to opt out or on to force it, and run superloopy doctor to see what was found. More in docs/superloopy-interop-superpowers.md.

Q&A

  • Do I need both? No. Superloopy works on its own. If Superpowers is there too, the two coordinate instead of overlapping.
  • Which stage does each own? Superpowers owns brainstorm, plan, and build. Superloopy owns the proof at the end. Keep one driver per task: don't run loopy team and the Superpowers subagent flow on the same slices at once.
  • Who decides a task is done? Superloopy. Its check re-runs the real command at the end and blocks a false pass.
  • How is Superpowers detected? By looking in your Codex and Claude Code plugin folders. You can always override with SUPERLOOPY_SUPERPOWERS=on|off.

Install

Superloopy installs on both Codex and Claude Code from one repo. The core (loop state, evidence gates, doctor) is host-agnostic; each host gets its own thin plugin manifest, hook wiring, and agent format.

For agent-driven installs such as install https://github.com/beefiker/superloopy, use installation.md. It is written as a host-selection and verification checklist for Codex and Claude Code agents.

Codex

Needs Node.js ≥ 22 and Codex CLI ≥ 0.131.0 for codex plugin add. Superloopy is dependency-free — zero runtime dependencies, just Node.

codex plugin marketplace add https://github.com/beefiker/superloopy
codex plugin add superloopy@beefiker

Restart Codex after installing the plugin. If Codex asks you to review hooks, approve them; the next approved session runs a SessionStart hook that does a one-time bootstrap — it installs the superloopy command and the agents. If superloopy isn't found, its folder isn't on your PATH; the bootstrap prints the exact line to add. Check everything with superloopy doctor.

Installing from a checkout instead? Run node src/cli.js install --json.

Claude Code

Needs Node.js ≥ 22. From the same repo:

/plugin marketplace add beefiker/superloopy
/plugin install superloopy@beefiker

Reload plugins (or restart Claude Code) and approve the hooks when prompted. On Claude Code the skills, subagents (agents/*.md), and hooks (hooks/hooks.json) are plugin-bundled — there is no ~/.codex install step and no superloopy wrapper; the hooks invoke the CLI directly via ${CLAUDE_PLUGIN_ROOT}, and SessionStart is a clean no-op (nothing to bootstrap). For local development, point Claude Code at a checkout with claude --plugin-dir <checkout>. Verify with node "${CLAUDE_PLUGIN_ROOT}/src/cli.js" doctor --json. The subagents' advisory model defaults for Claude are documented in docs/superloopy-model-policy-claude.md.

Update

Codex

If you installed from the Codex marketplace, refresh the marketplace snapshot:

codex plugin marketplace upgrade beefiker

Superloopy checks for updates on SessionStart. Marketplace installs are Codex-managed, so Superloopy never starts an npx self-update for them; when a newer version is detected, it tells you to run the marketplace upgrade and re-approve modified hooks.

Restart Codex after the upgrade. If hooks show up as Modified, approve them; the following approved SessionStart automatically reconciles the generated wrapper, all six agents, and model-routing state from the new plugin version. No Superloopy migration command is required. If definitions changed, follow only the Codex restart notice so the host reloads them.

If a confirmed installedPluginTruth version mismatch still looks stale or degraded after that, approve a repair reinstall from the refreshed marketplace:

codex plugin add superloopy@beefiker --json

Then start a new Codex session.

If you installed from a checkout, update the checkout and rerun the installer:

git pull --ff-only
node src/cli.js install --json
superloopy doctor

Checkout installs are not npx-managed. npx self-update is reserved for a future installer that writes a superloopy-install.json snapshot into a stable install root.

Claude Code

Refresh the marketplace, update the installed plugin, then reload — no restart needed:

/plugin marketplace update beefiker
/plugin update superloopy@beefiker
/reload-plugins

/plugin update resolves the new version from the refreshed marketplace, and /reload-plugins applies it in the current session (no Claude Code restart, and hooks do not need re-approval). Verify with node "${CLAUDE_PLUGIN_ROOT}/src/cli.js" doctor --json. If you loaded a checkout with --plugin-dir, just git pull --ff-only and run /reload-plugins.

Google Antigravity

Pull the latest version in the plugin directory and validate:

git -C ~/.gemini/config/plugins/superloopy pull --ff-only
agy plugin validate ~/.gemini/config/plugins/superloopy

Troubleshooting

If plugin install or upgrade commands fail, update the Codex CLI first. codex plugin add is available in Codex CLI 0.131.0 and newer; older builds can have trouble with current plugin marketplace commands and hook approval flows.

After updating the CLI, restart Codex, run the marketplace install or upgrade command again, approve any Modified hooks, then check with superloopy doctor.

On Claude Code, if /plugin commands fail or the plugin looks stale, run /reload-plugins (or restart Claude Code) and verify with node "${CLAUDE_PLUGIN_ROOT}/src/cli.js" doctor --json.

Uninstall

Codex

Remove the installed plugin from Codex:

codex plugin remove superloopy@beefiker

If you no longer need the marketplace source, remove it too:

codex plugin marketplace remove beefiker

Restart Codex after uninstalling. Optional local bootstrap cleanup: plugin removal handles Codex's plugin config and cache, but the superloopy wrapper and copied personal agents can remain. Review before deleting them, especially if you customized any agent file.

rm -f ~/.local/bin/superloopy
rm -f ~/.codex/agents/franky.toml ~/.codex/agents/zoro.toml ~/.codex/agents/usopp.toml ~/.codex/agents/jinbe.toml ~/.codex/agents/robin.toml ~/.codex/agents/nami.toml
Remove-Item "$env:APPDATA\npm\superloopy.cmd" -ErrorAction SilentlyContinue
Remove-Item "$env:USERPROFILE\.codex\agents\franky.toml", "$env:USERPROFILE\.codex\agents\zoro.toml", "$env:USERPROFILE\.codex\agents\usopp.toml", "$env:USERPROFILE\.codex\agents\jinbe.toml", "$env:USERPROFILE\.codex\agents\robin.toml", "$env:USERPROFILE\.codex\agents\nami.toml" -ErrorAction SilentlyContinue

If you installed with CODEX_HOME, SUPERLOOPY_BIN_DIR, or CODEX_LOCAL_BIN_DIR, clean up those configured paths instead.

Claude Code

/plugin uninstall superloopy@beefiker
/plugin marketplace remove beefiker

Then run /reload-plugins. Nothing else to clean up — Claude Code installs are fully plugin-bundled (no superloopy wrapper, no ~/.codex writes). Removing the marketplace from its last remaining scope also uninstalls the plugin.

Google Antigravity

agy plugin disable superloopy
rm -rf ~/.gemini/config/plugins/superloopy
agy plugin disable superloopy
Remove-Item "$env:USERPROFILE\.gemini\config\plugins\superloopy" -Recurse -Force -ErrorAction SilentlyContinue

Optional wrapper cleanup: if you do not also use Superloopy on Codex, remove the command wrapper:

rm -f ~/.local/bin/superloopy
Remove-Item "$env:APPDATA\npm\superloopy.cmd" -ErrorAction SilentlyContinue

If you keep Superloopy on Codex, keep the wrapper or run superloopy install to repoint it to your Codex installation. Agents and skills on Antigravity are plugin-bundled so no agent TOMLs are placed. If you installed with SUPERLOOPY_BIN_DIR, clean up that configured path instead.

MIT licensed.

其他

高风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用,安装前请复核。
  • 可能需要外部 token、网络权限或第三方服务。
  • 存在潜在风险命令,请谨慎安装。
  • 扫描发现:5 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/beefiker/superloopy.git
  3. 将 "skills/superloopy-slides" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/beefiker/superloopy.git
  3. 将 "skills/superloopy-slides" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/beefiker/superloopy.git
  3. 将 "skills/superloopy-slides" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/beefiker/superloopy.git
  3. 将 "skills/superloopy-slides" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/beefiker/superloopy.git
  3. 将 "skills/superloopy-slides" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: superloopy-slides
description: >-
  Use when the user asks to create, convert, style, animate, export, share, or
  deploy HTML slide decks, presentations, pitch decks, talks, or keynotes;
  including zero-dependency or single-file output, PowerPoint/PPT/PPTX input,
  PDF export, browser delivery, visual style exploration, or "loopy slides".
  Not for general web pages or landing pages.

Superloopy Slides

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.

Activation

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.

Core Principles

  1. Zero Dependencies — Single HTML files with inline CSS/JS. No npm, no build tools.
  2. Show, Don't Tell — Generate visual previews, not abstract choices. People discover what they want by seeing it.
  3. Distinctive Design — No generic "AI slop." Every presentation must feel custom-crafted.
  4. Progressive Disclosure — Read lightweight style indexes first. For bold templates, use small preview cards for style previews and load the full design.md only after the user picks that template.
  5. Fixed 16:9 Stage (NON-NEGOTIABLE) — Every deck uses a 1920×1080 slide canvas scaled as a whole to the viewport. Slides must stay 16:9 on every screen, including phones. Do not reflow slide content to fit the device.

Design Aesthetics

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:

  • Typography: Choose fonts that are beautiful, unique, and interesting. Avoid generic fonts like Arial and Inter; opt instead for distinctive choices that elevate the frontend's aesthetics.
  • Color & Theme: Commit to a cohesive aesthetic. Use CSS variables for consistency. Dominant colors with sharp accents outperform timid, evenly-distributed palettes. Draw from IDE themes and cultural aesthetics for inspiration.
  • Motion: Use animations for effects and micro-interactions. Prioritize CSS-only solutions for HTML. Use Motion library for React when available. Focus on high-impact moments: one well-orchestrated page load with staggered reveals (animation-delay) creates more delight than scattered micro-interactions.
  • Backgrounds: Create atmosphere and depth rather than defaulting to solid colors. Layer CSS gradients, use geometric patterns, or add contextual effects that match the overall aesthetic.

Avoid generic AI-generated aesthetics:

  • Overused font families (Inter, Roboto, Arial, system fonts)
  • Cliched color schemes (particularly purple gradients on white backgrounds)
  • Predictable layouts and component patterns
  • Cookie-cutter design that lacks context-specific character

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!

Fixed Stage Rules

These invariants apply to EVERY slide in EVERY presentation:

  • Every deck has a viewport wrapper that fills the browser window.
  • Every slide is authored inside a fixed 1920×1080 stage.
  • The stage scales uniformly to fit the viewport. It may letterbox/pillarbox; it must not re-layout content.
  • Do not use responsive breakpoints to rearrange slide content for phones.
  • Use fixed internal slide measurements at the 1920×1080 design size.
  • Embed-safe + standalone-safe (NON-NEGOTIABLE) — every deck must render correctly BOTH opened directly AND inside an iframe (Confluence "Advanced HTML & Iframe Embed" macro, Notion, etc.). Use the dual-mode scaler from 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.
  • Keep ALL presentation chrome (controls, counter, progress, nav dots) inside .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.
  • Slide visibility must be controlled by .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.
  • Use clamp() only for non-slide UI outside the stage, or for small fallback previews where a full stage is impractical.
  • Include prefers-reduced-motion support
  • Never negate CSS functions directly (-clamp(), -min(), -max() are silently ignored) — use calc(-1 * clamp(...)) instead

When generating, read viewport-base.css and include its full contents in every presentation.

Content Density Modes

Ask the user whether this is primarily a reading deck or a speaking deck, then design around that answer:

Density modeBest forDesign behavior
Low density / speaker-ledPublic talks, keynote-style sharing, live explanationOne idea per slide, large type, strong visual hierarchy, generous negative space, 1-3 bullets max, more slides if needed
High density / reading-firstReports, handouts, async review, detailed internal docsMore 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.


Phase 0: Detect Mode

Determine what the user wants:

  • Mode A: New Presentation — Create from scratch. Go to Phase 1.
  • Mode B: PPT Conversion — Convert a .pptx file. Go to Phase 4.
  • Mode C: Enhancement — Improve an existing HTML presentation. Read it, understand it, enhance. Follow Mode C modification rules below.

Mode C: Modification Rules

When enhancing existing presentations, fixed-stage fitting is the biggest risk:

  1. Before adding content: Count existing elements, check against density limits
  2. Adding images: Fit them inside the 1920×1080 slide canvas. If slide already has max content, split into two slides
  3. Adding text: Max 4-6 bullets per slide. Exceeds limits? Split into continuation slides
  4. After ANY modification, verify: the slide stage remains 16:9, no text overflows its card, no panels overlap, and screenshots look correct at 1280×720, one phone viewport, and inside a small iframe (embed mode)
  5. Proactively reorganize: If modifications will cause overflow, automatically split content and inform the user. Don't wait to be asked

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.


Phase 1: Content Discovery (New Presentations)

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:

  • "Low density / speaker-led" — Big ideas, fewer words, more visual breathing room
  • "High density / reading-first" — More self-contained detail for async reading

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.

Step 1.2: Image Evaluation (if images provided)

If user selected "No images" → skip to Phase 2.

If user provides an image folder:

  1. Scan — List all image files (.png, .jpg, .svg, .webp, etc.)
  2. Inspect each image — Use the agent's available image-understanding capability. If image reading is unavailable, use filenames/metadata and ask the user to clarify only when needed
  3. Evaluate — For each: what it shows, USABLE or NOT USABLE (with reason), what concept it represents, dominant colors. Classify each asset's authority the way 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 show
  4. Co-design the outline — Curated images inform slide structure alongside text. This is NOT "plan slides then add images" — design around both from the start (e.g., 3 screenshots → 3 feature slides, 1 logo → title/closing slide)
  5. Confirm the outline using the same structured-question mechanism when available: "Does this slide outline and image selection look right?" Options: Looks good / Adjust images / Adjust outline

Logo 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.


Phase 2: Style Discovery

This is the "show, don't tell" phase. Most people can't articulate design preferences in words.

Step 2.0: Generate 3 Style Previews Directly

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.

MoodSuggested Presets
Impressed/ConfidentBold Signal, Electric Studio, Dark Botanical
Excited/EnergizedCreative Voltage, Neon Cyber, Split Pastel
Calm/FocusedNotebook Tabs, Paper & Ink, Swiss Modern
Inspired/MovedDark Botanical, Vintage Editorial, Pastel Geometry

Preview mix rules:

  • Generate 3 previews by default: 1 safe preset from STYLE_PRESETS.md, at least 1 bold template from bold-template-pack/selection-index.json, and 1 wildcard.
  • The wildcard may be either a second bold template or a self-generated custom design. Choose whichever creates the strongest, most useful contrast for the user's occasion, audience, mood, and content.
  • Do not force every expressive option to come from the template library. If the brief has a sharper, more specific design opportunity than the available templates, use the wildcard slot to design freely.
  • For conservative or high-stakes decks, make the safe preset especially restrained; choose a calm, higher-formality bold template; make the wildcard either another restrained template or a custom design that feels authoritative rather than decorative.
  • For expressive decks, keep the safe preset as a readable fallback; choose one strong bold template; make the wildcard adventurous, context-specific, and clearly different from both other previews.
  • If bold template matches feel weak, use the wildcard as a custom design or fall back to another safe preset instead of forcing a template.

Custom wildcard design rules:

  • Follow the Design Aesthetics section above: no generic "AI slop", no default font/color/layout choices, no purple-gradient-on-white clichés, no cookie-cutter dashboard/card look.
  • Match the user's stated occasion, audience, mood/vibe, and content density. The custom design should feel authored for this deck, not merely "stylish."
  • Make a deliberate visual thesis: distinctive typography, a committed palette, a recognizable layout system, and one strong atmospheric or graphic device.
  • Keep it feasible for a full deck. The preview must imply a design system that can expand into section, content, quote, comparison, and closing slides.
  • Use fixed 1920×1080 stage rules and pass the same preview authenticity checks as every other option.
  • Never render "custom", "wildcard", "AI-generated", or design-process labels on the slide itself.

Bold template selection rules:

  • Match user purpose and mood against mood, tone, best_for, avoid_for, formality, density, and scheme.
  • Treat best_for examples as soft signals, not strict industry filters.
  • Keep the three previews genuinely different from each other.
  • After choosing bold template candidate(s), read only those candidate(s)' preview.md files from the preview_md paths in the selection index.
  • Use preview.md only for title-slide previews. Do not read full design.md files until the user picks the final template.
  • Do not read or copy template.html unless the selected final design.md is missing a critical implementation detail.

Preview authenticity rules (NON-NEGOTIABLE):

  • Every style preview must look like a real first slide from the user's deck, not a diagnostic card.
  • Never render internal workflow text on a slide: no preview, generated from, preview.md, template, preset, style option, Option A/B/C, file names, paths, or source-doc labels.
  • Never render template names or slug names on the slide itself. Template/style names belong only in the message to the user.
  • Never render user requirement notes as slide content, such as "sharp and provocative", "safe option", "bold option", "for internal sharing", or "audience: ...", unless the user explicitly wants that exact phrase to appear in the deck.
  • If the slide needs chrome, use real deck chrome only: the deck title, section title, date, author, company, page number, or a genuine content phrase from the user's material.
  • Before opening previews, inspect the visible text and revise if any internal metadata appears.

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.

Step 2.1: User Picks

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.


Phase 3: Generate Presentation

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:

  • Low density / speaker-led: Use more slides with fewer ideas per slide. Favor large headings, short phrases, visual metaphors, section beats, quote/statement slides, and presenter-friendly pacing.
  • High density / reading-first: Make slides more self-contained. Use structured grids, comparison tables, annotated diagrams, captions, and concise explanatory copy. Keep hierarchy strong so it feels designed, not like a document pasted onto slides.

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:

  • Preserve its fonts, palette, decorative vocabulary, spacing rhythm, and component grammar.
  • Generate the final deck as a fixed 1920×1080 stage scaled uniformly to the viewport, regardless of whether the source template originally used deck-stage.js or viewport-fluid CSS.
  • Treat viewport-fluid values in 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.
  • Keep the output as a single self-contained Frontend Slides HTML file.
  • Do not copy demo slide content or mimic the source template too literally.
  • Use template.html only as a last-resort implementation reference for the selected template.
  • After generating, verify both content overflow and panel overlap in rendered browser screenshots. 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:

  • Preserve its fonts, palette, decorative vocabulary, spacing rhythm, grid logic, and component grammar.
  • Expand the same visual system across the full deck. Do not switch to a preset or bold template after the user has chosen the custom direction.
  • Design any missing slide layouts from that system rather than importing patterns from another style.
  • Keep the output fixed-stage, single-file, and visually verified like every other deck.

Before generating, read these supporting files:

Key requirements:

  • Single self-contained HTML file, all CSS/JS inline
  • Include the FULL contents of viewport-base.css in the <style> block
  • Use fonts from Fontshare or Google Fonts — never system fonts
  • Add detailed comments explaining each section
  • Every section needs a clear /* === SECTION NAME === */ comment block

Phase 4: PPT Conversion

When 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_DIR means this skill's base directory (announced when the skill loads) — e.g. SKILL_DIR=~/.claude/skills/slides. Running bash scripts/... from the project root will fail with "No such file or directory".

  1. Extract content — Run python "$SKILL_DIR/scripts/extract-pptx.py" <input.pptx> <output_dir> (install python-pptx if needed: pip install python-pptx)
  2. Confirm with user — Present extracted slide titles, content summaries, and image counts
  3. Style selection — Proceed to Phase 2 for style discovery
  4. Generate HTML — Convert to chosen style, preserving all text, images (from assets/), slide order, and speaker notes (as HTML comments)

Phase 5: Visual-QA Evidence Gate + Delivery

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:

  1. Screenshot representative slides — title slide, one content-heavy slide, and any slide with a complex layout (grid, table, image composition), rendered headless at 1280×720. Also capture one narrow viewport (e.g. 390×844) to prove the stage letterboxes instead of reflowing.
  2. Prove embed mode — write a throwaway harness page with the deck in an iframe at a collapsed initial height (e.g. 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.
  3. Inspect every screenshot — no text overflow, no overlapping panels, stage stays 16:9, fonts actually loaded (not fallback serif). scrollHeight checks alone are not enough; grid panels can visually cover each other.
  4. Write 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.
  5. Record the evidence — end completed deck work with a Superloopy record, e.g. 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:

  1. Clean up — Delete .slides/previews/ if it exists
  2. Open — Use open [filename].html to launch in browser
  3. Summarize — Tell the user:
    • File location, style name, slide count
    • Navigation: Arrow keys, Space, swipe/tap if enabled
    • The deck is embed-safe: paste it into Confluence's "Advanced HTML & Iframe Embed" macro (width Wide/Full, height ≈ width × 0.5625, verify on the published page) or any iframe. If a macro blocks <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>
    • How to customize: :root CSS variables for colors, font link for typography, .reveal class for animations
    • Inline text editing is available: Hover top-left corner or press E to enter edit mode, click any text to edit, Ctrl+S to save
    • Offer the natural post-draft actions: ask for revisions, edit text directly in the browser, or export/share

Phase 6: Share & Export (Optional)

After 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:

  • Deploy to URL — Shareable link that works on any device
  • Export to PDF — Universal file for email, Slack, print
  • Both
  • No thanks

If the user declines, stop here. If they choose one or both, proceed below.

6A: Deploy to a Live URL (Vercel)

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:

  1. 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).

  2. Check if user is logged in — Run npx vercel whoami.

    • If NOT logged in, explain: "Vercel is a free hosting service. You need an account to deploy. Let me walk you through it:"
      • Step 1: Ask user to go to https://vercel.com/signup in their browser
      • Step 2: They can sign up with GitHub, Google, email — whatever is easiest
      • Step 3: Once signed up, run vercel login and follow the prompts (it opens a browser window to authorize)
      • Step 4: Confirm login with vercel whoami
    • Wait for the user to confirm they're logged in before proceeding.
  3. Deploy — 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.

  4. Share the URL — Tell the user:

    • The live URL (from the script output)
    • That it works on any device — they can text it, Slack it, email it
    • To take it down later: visit https://vercel.com/dashboard and delete the project
    • The Vercel free tier is generous — they won't be charged

⚠ Deployment gotchas:

  • Local images/videos must travel with the HTML. The deploy script auto-detects files referenced via 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.
  • Prefer folder deployments when the presentation has many assets. If the presentation lives in a folder with images alongside it (e.g., 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.
  • Filenames with spaces work but can cause issues. The script handles spaces in filenames, but Vercel URLs encode spaces as %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.
  • Redeploying updates the same URL. Running the deploy script again on the same presentation overwrites the previous deployment. The URL stays the same — no need to share a new link.

6B: Export to PDF

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.

  1. 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.

  2. What happens behind the scenes (explain briefly to the user):

    • A headless browser opens the presentation at 1920×1080 (standard widescreen)
    • It screenshots each slide one by one
    • All screenshots are combined into a single PDF
    • The script needs Playwright (a browser automation tool) — it will install automatically if missing
  3. If Playwright installation fails:

    • The most common issue is Chromium not downloading. Run: npx playwright install chromium
    • If that fails too, it may be a network/firewall issue. Ask the user to try on a different network.
  4. Deliver the PDF — The script auto-opens it. Tell the user:

    • The file location and size
    • That it works everywhere — email, Slack, Notion, Google Docs, print
    • Animations are replaced by their final visual state (still looks great, just static)

⚠ PDF export gotchas:

  • First run is slow. The script installs Playwright and downloads a Chromium browser (~150MB) into a temp directory. This happens once per run. Warn the user it may take 30-60 seconds the first time — subsequent exports within the same session are faster.
  • Slides must use 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.
  • Local images must be loadable via HTTP. The script starts a local server and loads the HTML through it (so Google Fonts and relative image paths work). If images use absolute filesystem paths (e.g., 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.
  • Local images appear in the PDF as long as they are in the same directory as (or relative to) the HTML file. The export script serves the HTML's parent directory over HTTP, so relative paths like 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.
  • Large presentations produce large PDFs. Each slide is captured as a full 1920×1080 PNG screenshot. An 18-slide deck can produce a ~20MB PDF. If the PDF exceeds 10MB, ask the user: "The PDF is [size]. Would you like me to compress it? It'll look slightly less sharp but the file will be much smaller." If yes, re-run the export with the --compact flag:
    bash "$SKILL_DIR/scripts/export-pdf.sh" <path-to-html> [output.pdf] --compact
    
    This renders at 1280×720 instead of 1920×1080, typically cutting file size by 50-70% with minimal visual difference.

Supporting Files

FilePurposeWhen to Read
STYLE_PRESETS.md12 curated visual presets with colors, fonts, and signature elementsPhase 2 (style selection)
bold-template-pack/selection-index.jsonCompact bold template metadata for candidate selectionPhase 2 (style selection)
bold-template-pack/templates/*/preview.mdLightweight style cards for shortlisted bold title previewsPhase 2 after shortlisting
bold-template-pack/templates/*/design.mdDetailed design-system docs for the selected bold template onlyPhase 3 after user selection
viewport-base.cssMandatory fixed-stage CSS — copy into every presentationPhase 3 (generation)
html-template.mdHTML structure, JS features, code quality standardsPhase 3 (generation)
animation-patterns.mdCSS/JS animation snippets and effect-to-feeling guidePhase 3 (generation)
scripts/extract-pptx.pyPython script for PPT content extractionPhase 4 (conversion)
scripts/deploy.shDeploy slides to Vercel for instant sharingPhase 6 (sharing)
scripts/export-pdf.shExport slides to PDFPhase 6 (sharing)

Adapted from frontend-slides by Zara Zhang (MIT, see LICENSE); Superloopy evidence-spine integration added.

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