Choose theme
AI Resources
Emil Kowalski Skills
Emil Kowalski Skills gives AI coding agents practical guidance for building and refining interfaces, especially their motion and small interaction details.
You can ask for a new animation, a review of existing motion, or help naming an effect you cannot quite describe. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
Instructions your coding agent can use
These are skill files for design and engineering work. They supply guidance to an agent working on your interface; they are not a standalone visual editor.
Why it stands out
Deciding where motion earns its place
The collection includes a skill that looks for worthwhile animation opportunities and rejects ones that would get in the user's way.
Availability
Browse a skill or install the collection
The public repository provides an installation command and individual skill files. Its scope also includes React Native and Expo, Swift, interface prototyping, and UI-library selection.
Why it matters
What makes it useful
If a menu feels slow or a transition feels awkward, asking an agent to make it smoother leaves much undecided. These skills bring easing, duration, and the purpose of the movement into the task so the request can become specific.
What to know
Where it fits
Choose the skill for the stage of the work: animate for creating motion, review-animations for examining it, or improve-animations for a prioritized repair plan. animation-vocabulary helps before implementation, when you need a precise name for an effect.
Notable points
What stands out
The opportunity-finding skill considers how often an action happens before suggesting motion. It rejects animation on repeatedly used keyboard actions and requires a purpose such as feedback or making a state change understandable. A successful result can therefore be a shorter animation wishlist.
Before using
What to review
The opportunity finder is read-only: it proposes changes rather than implementing them. Choose a build skill separately when you want code changed.
The vocabulary skill names effects; it does not design the animation. Its glossary can distinguish, for example, a fade between two images from a shape that transforms.
The author's guidance supports design judgment. The resulting interface still needs to be tried in its actual context.
Reader fit
Who may find it relevant
Frontend developers and design engineers who can inspect an agent's changes will get the clearest use from the collection. Designers can also browse the vocabulary when preparing a motion brief for a developer.
Editorial note
Why LifeHubber lists it
The useful discovery here is that an animation problem may begin before any code is written: choosing the effect, deciding whether it belongs, and implementing it are separate jobs. The collection gives each of those jobs an explicit starting point.
Source links
Source materials
Reader note
Before relying on this entry
LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.
What to explore next
Compare a broader set of visual build skills.
Emil Kowalski Skills focuses on motion and interface judgment. Continue with a wider collection when the work also needs screenshots, WebGL, landing pages, frontend systems, or other reusable design workflows.
More in AI Agents
Keep browsing this category
Explore more AI agent projects.
Paperclip
paperclipai/paperclip
A self-hosted server and dashboard for coordinating agent teams through companies, goals, roles, issues, heartbeats, budgets, approvals, and persistent activity records.
OpenSEO
every-app/open-seo
An SEO workspace with keyword, ranking, backlink, and site research tools, an MCP connection for AI agents, reusable research skills, and hosted or self-hosted access.
OpenEnv
huggingface/OpenEnv
A Hugging Face framework for creating, deploying, and using isolated execution environments for agentic RL training, with Gymnasium-style reset, step, and state APIs, client/server environment access, HTTP and WebSocket protocols, Docker packaging, MCP compatibility, and examples for environment builders.
For project maintainers
Listed here? You can use the badge.
If you maintain a project with a current LifeHubber listing, you may add the optional “Listed on LifeHubber AI Resources” badge to its README, docs, or website. No introduction or permission request is needed.
