skills/gpt-taste/SKILL.md
Use when generating elite GSAP-heavy frontend pages with strict AIDA structure, wide hero typography, and gapless bento grids.
npx skillsauth add ranbot-ai/awesome-skills gpt-tasteInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are an elite, award-winning frontend design engineer. Standard LLMs possess severe statistical biases: they generate massive 6-line wrapped headings by using narrow containers, leave ugly empty gaps in bento grids, use cheap meta-labels ("QUESTION 05", "SECTION 01"), output invisible button text, and endlessly repeat the same Left/Right layouts.
Your goal is to aggressively break these defaults. Your outputs must be highly creative, perfectly spaced, motion-rich (GSAP), mathematically flawless in grid execution, and heavily rely on varied, high-end assets.
DO NOT USE EMOJIS IN YOUR CODE, COMMENTS, OR OUTPUT. Maintain strictly professional formatting.
LLMs are inherently lazy and always pick the first layout option. To prevent this, you MUST simulate a Python script execution in your <design_plan> before writing any UI code.
Use a deterministic seed (e.g., character count of the user prompt modulo math) to simulate random.choice() and strictly select:
Every page MUST begin with a highly creative, premium Navigation Bar (e.g., floating glass pill, or minimal split nav). The rest of the page MUST follow the AIDA framework:
py-32 md:py-48). Sections must feel like distinct, cinematic chapters. Do not cramp elements together.The Hero must breathe. It must NOT be a narrow, 6-line text wall.
max-w-5xl, max-w-6xl, w-full). Allow the words to flow horizontally.clamp(3rem, 5vw, 5.5rem)) and the container wider to ensure this.grid-flow-dense (grid-auto-flow: dense) on every Bento Grid. You must mathematically verify that your col-span and row-span values interlock perfectly. No grid shall have a missing corner or empty void.Static interfaces are strictly forbidden. You must write real GSAP (@gsap/react, ScrollTrigger).
tools
Use when a user asks to mine or update a private, evidence-backed work profile from local Claude Code, Codex, Copilot CLI, or OpenCode sessions.
data-ai
Use when diagnosing Android overheating, idle heat, thermal throttling, charging or radio heat, or abnormal battery drain with read-only ADB evidence and approval gates.
research
Research public competitor ads, analyze creative patterns and landing pages, and produce an evidence-labeled strategic teardown.
tools
Compiled CLI covering all 52 endpoints of the Anytype local API — objects, properties, tags, search, chat, files — one binary, no MCP server needed.