peixl

peixl / ifq-design-skills

Public

Agent-native design skill: ordinary prompts -> verified HTML-first prototypes, decks, dashboards, motion demos, and export-ready visuals.

github.compeixlifq-design-skills agent-skills ai-agents claude-code clawhub codex
13
6
100% credibility
Found Apr 28, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
HTML
AI Summary

A toolkit of templates and guides enabling AI assistants to produce professional, branded designs such as slide decks, animations, portfolios, and reports from simple text descriptions.

How It Works

1
💡 Discover design magic

You learn about a helpful tool that turns your casual ideas into beautiful, professional visuals using your AI chat buddy.

2
📥 Connect to your AI

You easily link this design helper to your AI assistant so it's ready to create whenever you need.

3
🗣️ Share your vision

You chat with your AI about what you want, like a slide deck for a talk or a sleek portfolio page.

4
✨ See it come alive

Your AI crafts a polished design that looks handcrafted and matches your style perfectly.

5
👀 Preview and refine

You peek at the design in your browser, suggest tweaks through chat, and watch it improve instantly.

6
📤 Grab your files

Download ready-to-use versions like webpages, videos, PDFs, or slide shows with one go.

🎉 Impress everyone

Your stunning visuals make your presentation, site, or promo stand out and wow your audience.

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AI-Generated Review

What is ifq-design-skills?

ifq-design-skills is an agent-native design skill that transforms ordinary prompts into verified HTML-first prototypes like decks, dashboards, motion demos, and export-ready visuals. It solves the gap where AI agents spit out templated fluff or prose instead of shippable artifacts, delivering polished, ifq.ai-branded HTML pages via simple installs like `npx skills add peixl/ifq-design-skills`. Built in HTML with agent runtimes like Hermes or OpenClaw, it routes prompts to 12 modes and verifies outputs before export to PDF, PPTX, MP4, or GIF.

Why is it gaining traction?

It stands out with zero-install core loops—preview and lite-verify run on Node alone, escalating to exports only on demand—and proof-first checks that catch placeholders or errors. Developers hook on the ambient branding (subtle sparks, ledgers) that feels handcrafted, plus one-liners for any agent, turning vague asks like "bookish keynote deck" into iterable HTML without mode memorization. Marketplace-ready safety signals make it drop-in for agent ecosystems.

Who should use this?

AI agent builders adding design superpowers to tools like Claude Code or Cursor, needing dashboards or decks from prompts. Indie makers prototyping motion demos or social kits fast, without Figma roundtrips. Product leads mocking export-ready visuals for roadshows or changelogs.

Verdict

Grab it for agent-native design experiments—docs and evals are solid for an early project—but temper expectations with 13 stars and 1.0% credibility; it's raw but regression-tested across modes. Worth a spin if you're in AI workflows.

(198 words)

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