← Spell Book

transitions.dev

software

Spell Rating
🔮🔮🔮○○
Pricing
free
Difficulty
beginner

Best For

Frontend developers who need polished micro-interactions (card resize, modal entrance, notification badge, dropdown) without pulling in a full animation framework. If you have been copy-pasting transition: all 0.3s ease and calling it done, this is a significant upgrade with zero additional tooling. Also relevant if you are experimenting with AI Agent Skills in Claude Code or Cursor and want your coding agent to produce better transition code out of the box.

How I Actually Use It

I treat it as a curated easing curve reference and a snippet library. When I need a transition for a specific interaction pattern, I open the Playground on transitions.dev, adjust the parameters in real time, then copy the CSS block into my project. The semantic CSS custom properties (like --t-card-duration or --t-modal-scale) make it easy to tweak values without reading through the implementation.

I have also installed the AI Skill via npx skills add Jakubantalik/transitions-dev in Claude Code. When generating UI components, the agent can reference these transition patterns directly. The practical benefit depends on how well the LLM understands the skill content, but it does reduce the back-and-forth of manually specifying easing values.

I do not use it as a dependency. There is no npm package, so I copy what I need and move on.

Where It Is Strong

Easing curves are expert-level. This is the main reason to pay attention. The transitions use fast-out-slow-in for standard cases, springy overshoot (cubic-bezier with Y values exceeding 1) for physical feedback, and asymmetric durations for open/close pairs. These are the same patterns described in Google's Material Motion guidelines, but here they are already written as copy-paste CSS.

Semantic custom properties with namespace isolation. Every adjustable parameter has a meaningful name under the t-* namespace. No risk of class name collisions with your existing code.

Accessibility is built in. All snippets respect prefers-reduced-motion automatically. You do not need to add media queries yourself.

AI Skill packaging is forward-thinking. Wrapping transition snippets as an AI agent skill is a novel approach. Almost no other CSS library does this yet.

Zero framework dependency. Pure CSS with minimal vanilla JS where needed. Works in React, Vue, Svelte, plain HTML, or anything else.

Where It Fails

The showcase repo has no LICENSE file. The Skill repo (transitions-dev) is MIT-licensed, but the main showcase repo (transitions.dev) does not include a license. If you copy code directly from the showcase, the legal status is ambiguous. Check before using in commercial projects.

No npm package. You cannot version-lock what you use. If the author changes a snippet's behavior, you will not know unless you are watching the repo. For a team setting, this is a real gap.

Very young project. Created on 2026-04-21, about 575 stars. There is no track record of maintenance, no changelog, no release process. The author could abandon it next month.

Single HTML file architecture. All 12 transitions live in one file. This works for a showcase but will face maintenance pressure as the collection grows. It also makes selective importing manual.

Limited scope. 12 transitions cover the most common patterns, but if you need staggered list animations, route transitions, or complex choreographed sequences, you still need something else.

Pricing / Difficulty / Risk

  • Pricing: Free. MIT license on the Skill repo.
  • Difficulty: Beginner. Copy CSS, paste into your project, adjust custom properties. No build step required.
  • Risk: Low for snippet copying (you own the code once you copy it). Medium for relying on the AI Skill integration long-term, given the project's age.

Verdict

transitions.dev is a well-designed collection of CSS transition snippets with genuinely good easing curves and a forward-thinking AI Skill integration. It is not a framework and does not try to be one. The main value is educational and practical: learn from the easing curve design, copy the patterns you need, and move on. I would not build a workflow dependency on it until it gets an npm package and the showcase repo adds a proper license. Rating 3: worth watching, worth copying from, not yet worth depending on.

Source