resume-skills: Skill for Claude Code

.claude/skills/animation-vocabulary/SKILL.md

animation-vocabulary is a skill for Claude Code from Chasen-Liao/resume-skills. It costs 98 tokens per session (2,905 once invoked), scanned A, a copy of animation-vocabulary, MIT.

A glossary that identifies the precise name for a web animation from a plain-language description. For example, it can distinguish effects such as a pop-in, bounce, or rubber-band scroll.

In plain words
What is it for?
Use it to name an animation from how it looks or feels, compare similar motion terms, and choose the closest matching description.
Why use it?
It gives developers and designers shared terms for motion effects, making it easier to describe and request the behavior they want.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is Chasen-Liao/resume-skills's own configuration. It tells Claude Code how to work on resume-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything resume-skills configures →

Part of the resume-skills plugin — 14 skills shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to Chasen-Liao/resume-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Chasen-Liao/resume-skills/main/.claude/skills/animation-vocabulary/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Chasen-Liao/resume-skills

Made for: Claude Code.

Or install resume-skills, the plugin that ships this one along with the rest of its 14 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for animation-vocabulary

README.md
[![agentmods](https://agentmods.dev/badge/skills/chasen-liao/resume-skills/animation-vocabulary/github.svg)](https://agentmods.dev/skills/chasen-liao/resume-skills/animation-vocabulary)
Your own site
<a href="https://agentmods.dev/skills/chasen-liao/resume-skills/animation-vocabulary"><img src="https://agentmods.dev/badge/skills/chasen-liao/resume-skills/animation-vocabulary/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for animation-vocabulary

Your own site · 80×15
<a href="https://agentmods.dev/skills/chasen-liao/resume-skills/animation-vocabulary"><img src="https://agentmods.dev/badge/skills/chasen-liao/resume-skills/animation-vocabulary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,905 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00098 $0.02905
Opus 5 $0.00049 $0.01452
Sonnet 5 $0.00020 $0.00581
Haiku 4.5 $0.00010 $0.00291

Measured 12d ago against content hash d718b48fe3c7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

animation-vocabulary scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to animation-vocabulary — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/animation-vocabulary/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Animation Vocabulary

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.
  3. Disambiguate close terms. When two compete (Clip-path vs Mask, Pop in vs Bounce, Shared element transition vs Layout animation), contrast them so the user can pick.
  4. When nothing matches exactly, name the closest term and say plainly it's an approximation, or describe the effect in the glossary's vocabulary (e.g. "that's a stagger of scale-in entrances").
  5. Stay within this glossary. If a term genuinely isn't here, say so rather than inventing one — though you may explain the concept using these words.
  6. Keep it tight. A naming question wants a name, not an essay. Lead with the term; expand only if asked.

Examples

Example 1 — feel-based User: "What's it called when a popover seems to grow out of the button you clicked instead of from its middle?" Output:

**Origin-aware animation** — An element animates out of its trigger, like a popover growing from the button that opened it instead of from its own center which is the default in CSS.

Example 2 — disambiguation User: "The thing where one image turns into another image." Output:

**Morph** — One shape smoothly turns into another shape, e.g. Dynamic Island.

Close alternates:
- **Crossfade** — if they simply fade over each other in the same spot.
- **Shared element transition** — if an element travels and transforms from one position into another.

Read the full file on GitHub · 174 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 174 lines · 98 tokens per session scan A d718b48fe3c7

Subscribe to this mod's changes

animation-vocabulary is a skill published in the GitHub repository Chasen-Liao/resume-skills (28 stars, last pushed 4d ago), licensed MIT. It adds 98 tokens to every session and 2,905 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to animation-vocabulary, differing in 0 lines, and is treated as a copy.

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