bundled-skills/animejs-animation/SKILL.md
Advanced JavaScript animation library skill for creating complex, high-performance web animations.
npx skillsauth add FrancoStino/opencode-skills-antigravity animejs-animationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Anime.js is a lightweight but extremely powerful JavaScript animation engine. It excels at complex timelines, staggering, and precise control over DOM, CSS, and SVGs.
This skill is used for creating high-fidelity, jaw-dropping web animations that go far beyond simple CSS transitions. It's the tool of choice for awards-caliber interactive sites.
Trigger this skill when:
cubicBezier, spring, or elastic) instead of basic linear or ease-in-out to make the motion feel expensive and natural.anime.timeline() to sequence complex choreography. Master the use of timeline offsets (relative '-=200' vs absolute) to create seamless overlapping motion.const tl = anime.timeline({
easing: "spring(1, 80, 10, 0)",
duration: 1000,
});
tl.add({
targets: ".hero-text",
translateY: [50, 0],
opacity: [0, 1],
delay: anime.stagger(100),
}).add(
{ targets: ".hero-image", scale: [0.9, 1], opacity: [0, 1] },
"-=800",
);
anime.stagger() extensively to add organic rhythm to multiple elements.will-change: transform, opacity where appropriate for GPU acceleration.tools
Authorized security assessment of LLM applications and AI agents: prompt injection, tool abuse, RAG exposure, memory poisoning, system-prompt extraction, and agent-compliance engineering per OWASP LLM/ASI Top 10.
development
Builds two parameterized UI modes—流光溢彩白 (iridescent white) and 五彩斑斓黑 (colorful black)—with OKLCH, WebGL/CSS fallback, vision gating, screenshot QA, and total/per-color intensity reports. Use when a UI request names either mode or needs measured color parameters.
tools
Delegate coding tasks to the Kimi Code CLI (`kimi`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
development
Front-end JavaScript reverse engineering: locate signature chains, analyze encrypted request parameters, sample runtime behavior, and reproduce logic locally in Node for evidence-based output.