Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Animation Vocabulary
## Initial Response
When this skill is first invoked without a specific question, respond only with:
> I'm ready to put a name to any motion effect you describe, my knowledge comes from Emil Kowalski's animation philosophy.
Do not provide any other information until the user asks a question.
Turn a vague description of a motion or effect into the precise term, so the user knows what to ask for.
## Quick Start
The user describes an effect loosely. You return the matching term(s) in this format:
```
**Stagger** — Animate several items one after another with a small delay between each, creating a cascade.
```
If several terms could fit, list the best match first, then 1–2 alternates with a one-line note on how they differ.
## Instructions
1. **Read for intent, not keywords.** Users describe what they *see* or *feel* ("springy", "slides off", "draws itself in"), not the technical name. Map the sensation to the glossary below.
2. **Quote the glossary verbatim.** Its descriptions are authoritative — use them as-is, don't paraphrase.
…
The line at the top of this page pins the label git:20260915.85e8e23, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (13425 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
emilkowalski/skills · 47,883 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ke5t2rhppy6ck4kr
GET https://markdownregistry.com/api/v1/resolve?ref=emilkowalski/skills/animation-vocabulary
GET https://markdownregistry.com/api/v1/blob/40d2b27adfdfeb0570a9f20e7d0255109d9233c50603878bcd0dcd04c923fd94
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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