Where this fits

You're building an AI coding agent that helps frontend developers craft scroll-driven animations. The user asks: "map the scroll progress to a rotation between -30 and 30, but snap the result to increments of 5." Without guidance, the agent either writes verbose manual math or invents non-existent GSAP methods. This skill gives the agent the exact gsap.utils API surface—mapRange, snap, clamp, pipe, and friends—so it can generate correct, idiomatic animation code directly from conversational requirements.

Why agents benefit

• Eliminate hallucinated utility names – The agent learns the real function signatures and function-form (curried) variants for clamp, mapRange, normalize, random, snap, toArray, wrap, and pipe.
• Generate precise math for animations – Produce correct interpolation, clamping, and snapping logic in ScrollTrigger callbacks or function-based tween values without manual derivation.
• Handle DOM collection conversion – Use toArray to convert NodeList or selector strings into arrays for staggered tweens, avoiding common .forEach pitfalls.
• Compose utilities cleanly – Understand how pipe composes multiple utils (e.g., normalize then interpolate) and when to return a reusable function instead of executing immediately.
• Integrate with other GSAP skills – It pairs naturally with skills for core tweens, timelines, and ScrollTrigger, enabling multi-step animation builds in one agent session.

Practical scenarios

Scroll-driven scrub with snapping

User: "As the page scrolls, rotate the hero image from 0 to 180 degrees, but only in 15-degree increments." The agent uses gsap.utils.snap(15) combined with a mapRange function to create a clean scroll-linked rotation, directly inside a ScrollTrigger onUpdate callback.

Random but bounded particle animations

User: "Pulse each card with a random duration between 0.5 and 1.5 seconds, but keep the repeat count even." The agent uses gsap.utils.random(0.5, 1.5, true) for integer-friendly randomness and random([0,2,4,6]) for discrete values, making tween variance trivial.

Normalizing input for reusable functions

User: "I want a function that takes a progress (0 to 1) and returns a color from a gradient." The agent uses gsap.utils.interpolate with normalize, but more importantly learns the function form: gsap.utils.interpolate(['#f00','#00f'], 0.5) returns the mid-color directly, or returns a function when the value is omitted.

Add it to your agent workflow

Install with a single command, then let your agent load the skill context when GSAP utilities come up:

npx skills add greensock/gsap-skills --skill gsap-utils

Example agent prompt after install: "Given the skill description for gsap-utils, write a tween that uses clamp(0, 100, scrollY) in a ScrollTrigger callback to set vertical progress." The agent will reference the exact function signatures from the README excerpt and produce production-ready code.

Compare before adopting

Before committing, evaluate the skill against other GSAP documentation or custom prompt templates. Check: quality signals – the repository has 14k stars and is maintained by Greensock, the official GSAP creator; maintenance freshness – look for recent commits aligning with GSAP versions; alternatives – ask your agent to generate utilities from scratch (error-prone) or embed the official docs (large context); workflow fit – this skill is lightweight and focuses purely on gsap.utils, leaving room for core and plugin skills.

Why it is worth tracking

Greensock's official skill repository is a strong signal of longevity and accuracy. High star count and active maintenance mean the skill stays aligned with GSAP releases. Adopting it now reduces agent errors and speeds up animation-related task completion. Reevaluate when GSAP ships new utility methods or when your team needs deeper ScrollTrigger integration—pairing this with the related skills is a natural next step. For a wider view of verified agent skills, browse the OpenAgentSkill directory.