AGENT SKILL

landing

Generates a premium single-page HTML landing page with 3D CSS animations, GSAP scroll effects, and mouse-parallax depth. Forcing intake (product + elevator pitch, audience register, brand overrides, tone) locks down positioning before any copy or markup is written, so the page reflects the actual product rather than generic boilerplate. Use whenever the user says 'landing for X', 'create a landing page', 'build a landing page', 'make a landing page for X', 'I need a web page for Y', or provides product/service details and wants a polished website. Also triggers on 'promotional page', 'product page', 'one-pager', 'web presence', 'sales page'. Outputs a single self-contained HTML file (Claude Code) or HTML artifact (Claude.ai). Supports configurable brand colors via CSS custom property overrides.

适用职业产品经理
License 许可
MIT
最近更新
2026-08-25
Stars
★ 0
Forks
0

01 前言 Front Matter

name
landing
license
MIT
metadata
{ "version": "1.0.0", "source_spec": "megaprompts/04-landing-megaprompt.md", "build_pattern": "Path B (direct conversion)", "distinct_from": "product-team/skills/landing-page-generator (different output format + optimization target)" }
description
Generates a premium single-page HTML landing page with 3D CSS animations, GSAP scroll effects, and mouse-parallax depth. Forcing intake (product + elevator pitch, audience register, brand overrides, tone) locks down positioning before any copy or markup is written, so the page reflects the actual product rather than generic boilerplate. Use whenever the user says 'landing for X', 'create a landing page', 'build a landing page', 'make a landing page for X', 'I need a web page for Y', or provides product/service details and wants a polished website. Also triggers on 'promotional page', 'product page', 'one-pager', 'web presence', 'sales page'. Outputs a single self-contained HTML file (Claude Code) or HTML artifact (Claude.ai). Supports configurable brand colors via CSS custom property overrides.

03 SKILL.md 正文

Landing — Premium HTML Landing Page Generator

Distinct from product-team/skills/landing-page-generator/. That skill outputs Next.js TSX components optimized for conversion / lead-gen. THIS skill outputs a single self-contained .html file optimized for premium visual experience with GSAP animations. Pick by use case.

Generate a polished, self-contained .html landing page from a text prompt or brief. The output is ONE HTML file: all CSS inline in <style>, all JS inline in <script>, only external dependencies being Google Fonts + GSAP via CDN. The page is visually distinctive, animated, and production-quality.

Invocation Triggers

  • "create a landing page"
  • "build a landing page"
  • "make a landing page for X"
  • "I need a web page for Y"
  • "promotional page"
  • "product page"
  • "one-pager"
  • "web presence"
  • "sales page"
  • "landing for X"

Delivery Mode

In Claude Code CLI, write the file to disk at the specified path. In Claude.ai web, create an HTML artifact with the same content.

Phase 0: Grill-Me Intake (4 forcing questions, one at a time)

Dependency-ordered. Each question carries explicit "why I'm asking". Stop condition: max 4.

Q1 (root) — Product / Service

What's the product or service? Give me the name + a 1–2 sentence elevator pitch — what does it do, and who's it for?

Why I'm asking: The headline, subtext, and feature copy all derive from this. "App for productivity" produces generic boilerplate; "Async standup tool for remote engineering teams who hate Zoom" produces a landing page that converts.

Refuse mush. If user gives just a name with no pitch, push back once: "What does it do? Who's it for?" If still no pitch after push-back, deliver with explicit "generic positioning" caveat.

Q2 (depends on Q1) — Audience Register

Who's the audience? Pick one:

  1. Technical buyers (engineers, ops, security)
  2. Business buyers (PMs, execs, ops leaders)
  3. Consumers (general public, hobbyists)
  4. Internal (employees, partners — not for public sale)

Why I'm asking: Audience dictates copy register, jargon level, social-proof choices, and CTA framing. Technical buyers want specifics; consumers want benefits; internal pages can skip persuasion.

Forcing choice.

Q3 (always) — Brand Overrides

Brand colors / fonts to override the default (dark navy + teal + Inter)? Provide as: primary HEX, accent HEX, optional bg HEX. Or say "default" if you want the polished default.

Why I'm asking: The default is intentionally beautiful, but matching your brand makes the page feel native to your existing site. Even just a primary color override goes a long way.

Accept "default" or partial overrides (e.g., just primary). If only primary provided, derive accent algorithmically (lighten / darken).

Q4 (depends on Q1) — Tone

Tone — pick one:

  1. Professional — confident, restrained, B2B-friendly
  2. Playful — warm, light, occasional humor
  3. Authoritative — expert, data-forward, trust-building
  4. Minimal — terse, design-led, low copy density

Why I'm asking: Tone affects every sentence — headlines, microcopy, button text, closing copy. Picking upfront prevents tonal whiplash across sections.

Forcing choice. Recommended default: professional if Q2 = technical/business; playful if Q2 = consumer; minimal if the product is design-led.

Stop condition: After Q4, commit and generate. No follow-up questions during generation.

Content Extraction (with Fallback Strategy)

From Q1's elevator pitch, derive:

  • Hero headline — punchy version of "what it does" (8–12 words)
  • Hero subtext — version of "who it's for + payoff" (1–2 sentences)
  • 3–6 feature bullets — distilled from pitch + audience (Q2) + tone (Q4)
  • CTA text — action-oriented, matches tone
  • Closing copy — short, emotive, matches tone

Fallback when input is sparse: invent compelling content from product-name semantics + audience register. Flag inferred content with a comment in the HTML source (<!-- inferred: ... -->). Don't stall waiting for more input.

Brand System Specification

Default Color Palette (Dark Navy + Teal)

:root {
  --navy:       #0A1628;
  --navy-mid:   #0D1F38;
  --teal:       #00D4AA;
  --teal-glow:  rgba(0, 212, 170, 0.12);
  --amber:      #F5A623;
  --off-white:  #F7F7F2;
  --text-muted: rgba(247, 247, 242, 0.68);
  --card-bg:    rgba(0, 212, 170, 0.06);
  --card-border:rgba(0, 212, 170, 0.15);
}

Override Pattern

When Q3 provides custom brand values, the skill substitutes them into the :root block:

Brand override:
- primary: #FF6B35    →  --navy / hero bg
- accent:  #2EC4B6    →  --teal / CTA / highlights
- bg:      #011627    →  --navy-mid / section bg
- text:    #FDFFFC    →  --off-white

If only primary provided, derive accent algorithmically (lighten 15% for accent; darken 8% for navy-mid; convert to rgba at 0.12 alpha for glow). Use scripts/brand_palette_validator.py for the deterministic derivation.

See references/brand_system_design.md for color theory + WCAG + algorithmic palette derivation canon.

Typography

  • Font family: Inter (via Google Fonts)
  • Weight scale: 400 (body), 500 (eyebrow), 600 (links), 700 (subtitle), 800 (H1 + H2)
  • Size scale:
    • Hero H1: 68–82px
    • Section H2: 52–62px
    • Card titles: 22px
    • Body: 17–19px
    • Eyebrow: 13px (uppercase, letter-spaced)
    • CTA button: 18px (500 weight)

Components (Must Specify CSS)

  • .btn-primary — CTA button with hover state (lift + brightness)
  • .feature-card — card with hover lift (translateY(-6px) + border-brighten)
  • .eyebrow — letter-spaced (0.2em) uppercase category label

Section 1: Hero

  • min-height: 100vh, flex-centered content
  • Optional eyebrow label above H1
  • H1 (68–82px, 800 weight)
  • Subtitle (17–19px, 1–2 sentences)
  • CTA button (.btn-primary)
  • Scroll-down indicator (animated chevron, CSS bounce)
  • Depth layers (mouse parallax):
    • .hero-shapes-back — large blurred circles, absolute-positioned, low opacity
    • .hero-shapes-mid — smaller shapes, sharper edges, higher opacity
    • Content layer (H1 + subtitle) — moves subtly in same direction as mouse

Section 2: Features

  • 3 columns default (repeat(3, 1fr) grid)
  • Responsive:
    • 2 columns at 900px breakpoint
    • 1 column at 580px breakpoint
  • Each card:
    • SVG icon (28px, stroke=var(--teal), no fill)
    • Title (22px, 700 weight)
    • Description (15–16px, --text-muted)
  • Hover state:
    • transform: translateY(-6px)
    • border-color: var(--teal) (brighten from --card-border)
    • transition: 0.3s ease

Section 3: Closing CTA

  • Full-width, background: var(--navy-mid)
  • padding: 120px 24px, text-align: center
  • Large closing headline (52–62px, 800 weight)
  • Short subtext (--text-muted, 1–2 sentences)
  • CTA button with ambient radial-gradient glow behind it:
    background: radial-gradient(circle, var(--teal-glow) 0%, transparent 70%);
    

Animation Patterns

See references/gsap_animation_patterns.md for the canon. Five patterns required:

1. Hero Entrance (GSAP timeline)

// MUST use gsap.set() FIRST to prevent FOUC
gsap.set([".eyebrow", ".hero h1", ".hero .subtitle", ".btn-primary", ".scroll-down"], {
  opacity: 0,
  y: 30
});

const tl = gsap.timeline({ defaults: { ease: "power3.out" } });
tl.to(".eyebrow", { opacity: 1, y: 0, duration: 0.6 })
  .to(".hero h1", { opacity: 1, y: 0, duration: 0.8 }, "-=0.3")
  .to(".hero .subtitle", { opacity: 1, y: 0, duration: 0.6 }, "-=0.5")
  .to(".btn-primary", { opacity: 1, y: 0, duration: 0.5 }, "-=0.3")
  .to(".scroll-down", { opacity: 1, y: 0, duration: 0.4 }, "-=0.2");

2. Mouse Parallax

const hero = document.querySelector(".hero");
hero.addEventListener("mousemove", (e) => {
  const x = (e.clientX / window.innerWidth - 0.5) * 2;
  const y = (e.clientY / window.innerHeight - 0.5) * 2;
  gsap.to(".hero-shapes-back", { x: x * 45, y: y * 22, duration: 0.8 });
  gsap.to(".hero-shapes-mid",  { x: x * 22, y: y * 11, duration: 0.8 });
  gsap.to(".hero .container",  { x: x * 8,  y: y * 5,  duration: 0.8 });
});

3. Scroll-Triggered Feature Cards

gsap.set(".feature-card", { opacity: 0, y: 55, rotateX: 18 });

ScrollTrigger.batch(".feature-card", {
  start: "top 80%",
  onEnter: batch => gsap.to(batch, {
    opacity: 1, y: 0, rotateX: 0,
    duration: 0.8,
    stagger: 0.11,
    ease: "power2.out"
  })
});

4. Floating Decorative Shapes (CSS keyframes — NOT GSAP)

CSS handles ambient continuous motion (smoother, cheaper than GSAP for indefinite animations):

@keyframes floatA {
  0%, 100% { transform: translate(0, 0) rotate(0deg); }
  50%      { transform: translate(20px, -30px) rotate(8deg); }
}
@keyframes floatB { /* different duration + rotation */ }
@keyframes floatC { /* different duration + rotation */ }

.hero-shapes-back .shape-a { animation: floatA 12s ease-in-out infinite; }

5. Scroll Indicator (CSS bounce)

@keyframes bounce {
  0%, 100% { transform: translateY(0); }
  50%      { transform: translateY(8px); }
}
.scroll-down { animation: bounce 2s ease-in-out infinite; }

Required CDN Dependencies

<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&display=swap" rel="stylesheet">
<script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.2/gsap.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.2/ScrollTrigger.min.js"></script>

NO other external CSS or JS files. All custom CSS in <style>, all custom JS in <script> blocks within the same HTML file.

See references/single_file_html_discipline.md for the inline-only rationale.

Layout Rules

  • Container max-width: 1200px, centered
  • Section padding: 120px 24px (vertical 120, horizontal 24, scales down on mobile)
  • Responsive breakpoints:
    • 900px → features grid 3-col → 2-col
    • 580px → all grids → 1-col; H1 scales down to ~52px
  • Viewport meta: <meta name="viewport" content="width=device-width, initial-scale=1">

Output Spec

  • Path: ${OUTPUT_DIR}/<product-name-kebab>.html
  • Default ${OUTPUT_DIR}: ./landing-pages/
  • Filename: lowercase kebab-case from product name ("Quill AI" → quill-ai.html). Use scripts/kebab_slug_generator.py for deterministic slug generation + duplicate detection.
  • Self-contained: all CSS in <style>, all JS in <script>, only Google Fonts + GSAP CDN external.

Validation (Post-Generation)

Run scripts/html_validator.py --file ${OUTPUT_DIR}/<slug>.html after generation. Checks:

  • All 3 required sections present (.hero, .features, .closing-cta)
  • CDN deps present (Inter + GSAP + ScrollTrigger)
  • gsap.set() initial states precede any gsap.timeline or gsap.to (FOUC prevention)
  • Responsive breakpoints at 900px + 580px
  • No external <link rel="stylesheet"> other than Google Fonts
  • No external <script src=> other than GSAP CDN
  • <meta name="viewport"> present
  • All animated elements have initial-state declarations

Error Handling

Situation Behavior
Input is just a name with no context Invent compelling content from name semantics + audience register; flag as <!-- inferred --> in HTML source
Input file is large or PDF Read fully before generating; don't truncate
Brand colors insufficient (only 1 HEX provided) Use as primary; derive secondary/accent algorithmically (lighten/darken via brand_palette_validator.py)
Features count not specified Default to 4
Output dir doesn't exist Create it
Existing file at output path Append timestamp suffix or ask user (kebab_slug_generator.py flags duplicates)
html_validator returns FAIL Regenerate ONLY the failing sections in one targeted pass; do NOT abandon the file

Portability

  • Claude Code CLI: Native — writes HTML file directly to filesystem.
  • Claude.ai web: Native — produces HTML as an artifact instead of file.

Tooling

Script Role
scripts/brand_palette_validator.py Validates HEX format, checks WCAG AA contrast, generates derived palette from primary (algorithmic lighten/darken).
scripts/kebab_slug_generator.py Product name → kebab-case filename + duplicate detection in output dir.
scripts/html_validator.py Post-generation structural check: 3 sections, CDN deps, gsap.set() initial states, responsive breakpoints, no external files.

References

Anti-Patterns To Reject

  • Hardcoded absolute paths in output directory
  • Single brand palette without override documentation
  • Outlining before writing — write in one pass
  • External CSS or JS files (must be inline; only Google Fonts + GSAP CDN allowed)
  • Skipping gsap.set() initial states (causes FOUC)
  • More than 6 features in default grid (becomes unscannable)
  • Brand-specific content references in the skill itself

Version: 1.0.0 Source spec: megaprompts/04-landing-megaprompt.md (maintainer-local draft spec — gitignored, not present in the public repository) Build pattern: Path B (direct conversion). Distinct from product-team/skills/landing-page-generator/.

04 同仓库更多 Skills

JiayiV
JiayiV/question_mixing

webmcpify

Make a web app agent-ready — propose a WebMCP tool manifest, integrate, verify in a real browser, heal; unrelated code stays untouched. Use for "webmcpify", "add WebMCP", or "expose app actions to AI agents".

★ 0
JiayiV
JiayiV/question_mixing

vardoger-analyze

Use when the user asks to personalize the GitHub Copilot CLI assistant, adapt Copilot to their style, use vardoger, or analyze their Copilot CLI conversation history. Reads the local session directory at `~/.copilot/session-state/`, extracts recurring preferences and conventions, and writes a fenced personalization block into `~/.copilot/copilot-instructions.md`. Runs entirely on the user's machine via the local `vardoger` CLI (`pipx install vardoger`); no network calls and no uploads. Triggers: 'personalize my copilot', 'analyze my copilot history', 'tailor copilot to me', 'run vardoger', 'update my copilot instructions from history', 'make copilot learn my style'.

★ 0
JiayiV
JiayiV/question_mixing

transloadit-media-processing

Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS/MP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.

图像与多媒体Skill与智能体开发
★ 0
JiayiV
JiayiV/question_mixing

terraform-azurerm-set-diff-analyzer

Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes. Use when reviewing terraform plan output for Azure resources like Application Gateway, Load Balancer, Firewall, Front Door, NSG, and other resources with Set-type attributes that cause spurious diffs due to internal ordering changes.

运维与部署
★ 0
JiayiV
JiayiV/question_mixing

technical-job-search

Use this skill when a software engineer asks for help with job search tasks: parsing or analyzing a job description, tailoring a CV/resume, writing a cover letter, evaluating a job offer, or drafting a post-interview follow-up email. Do not activate for general career advice unrelated to an active job search action.

内容创作者人力资源写作与文案
★ 0
JiayiV
JiayiV/question_mixing

steno-mode

Shorthand-first response compression that cuts ~40% of response tokens while preserving technical precision and exact literals. Use when the user says "steno mode", "shorthand mode", "compressed responses", "token reduction", "brief structured output", or invokes /steno. Supports four compression levels: lite, brief, court, machine. Do not trigger for requests needing polished prose such as onboarding/tutorial content, stakeholder or customer-facing copy, or teaching-focused explanations.

★ 0