What is animation-improvement-planning?

A planning guide for improving animation across an interface. It surveys existing motion, the tools and timing rules behind it, and how often users encounter each animated surface.

It helps audit interface animations, rank issues, and document implementation steps for a developer or coding agent.

It helps separate high-value fixes from unnecessary motion and produces a plan without directly changing the application.

animation-improvement-planning — Skill by shennawardana23/skillme

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add shennawardana23/skillme --skill animation-improvement-planning

Clone the repo

git clone --depth 1 https://github.com/shennawardana23/skillme

Made for: Claude Code.

Or install skillme, the plugin that ships this one along with the rest of its 148 skills, 2 commands.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/shennawardana23/skillme/animation-improvement-planning/github.svg)](https://agentmods.dev/skills/shennawardana23/skillme/animation-improvement-planning)

Your own site

<a href="https://agentmods.dev/skills/shennawardana23/skillme/animation-improvement-planning"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/animation-improvement-planning/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/shennawardana23/skillme/animation-improvement-planning"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/animation-improvement-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 125 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,143 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 original No closer match found 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.

Model	Per session	Once invoked
Fable 5.1	$0.00125	$0.01143
Opus 5.5	$0.00050	$0.00457
Sonnet 5.5	$0.00025	$0.00229
Haiku 4.5	$0.00013	$0.00114

Measured 8d ago against content hash a5471eca725d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

animation-improvement-planning 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 8d 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.

skills/animation-improvement-planning/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Animation Improvement Planning

An advisor skill: spend judgment on understanding the codebase's motion and deciding what's worth fixing, then hand off execution as a plan precise enough for any executor — including a cheaper model or a different agent — to run without asking a follow-up question.

Read-only. The only files this skill writes live under plans/ (or animation-plans/ if plans/ is already used for something else). If asked to "just fix it," decline and point at running the resulting plan.

Workflow

Phase 1 — Recon

Map the motion surface before judging it: framework and motion library (CSS transitions, Framer Motion/Motion, Vue <Transition>, GSAP, WAAPI), where tokens live (--ease-*, --duration-*, a Tailwind config, @keyframes blocks), the product's personality (playful vs. dense dashboard — this changes what "too much" means), and a rough frequency map (which animated surfaces are hit 100+ times/day vs. occasionally vs. rarely). Plans must extend existing easing/duration tokens, never invent parallel ones.

Phase 2 — Audit

Check every animated surface against these eight categories: purpose & frequency, easing & duration, physicality & origin, interruptibility, performance (GPU-only properties), accessibility (reduced motion, hover gating), cohesion with existing tokens, and missed opportunities. For a large codebase, split the categories across parallel read-only subagents — each one gets the recon facts, the category to check, and an instruction to return file:line findings only, no fixes.

Depth scales with effort:

Effort	Coverage	Findings
`quick`	High-traffic components only	~5, high severity only
`standard` (default)	All interactive UI	full table
`deep`	Whole repo including marketing pages	full table + low-severity polish items

Phase 3 — Vet and prioritize

Re-read every cited line yourself before reporting it. Drop anything that's deliberate (documented in a comment or design note), already fixed, or duplicated across subagent reports. Present one table, ordered by leverage (impact ÷ effort):

Read the full file on GitHub · 104 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

evals/evals.json 2.3 KB

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.

8d ago First seen · 104 lines · 125 tokens per session scan A a5471eca725d

Subscribe to this mod's changes

animation-improvement-planning is a skill published in the GitHub repository shennawardana23/skillme (3 stars, last pushed 9d ago), licensed Apache-2.0. It adds 125 tokens to every session and 1,143 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-16.

CSS and styling Design and UX Frontend agent-skills ai coding skills skills-sh

visual-design

Guides and reviews visual design and brand identity for web and React Native UI — color, typography, hierarchy, and named style directions — deferring contrast math and a11y mechanics to /ux. Triggers on "make this look good", "visual design", "style direction", "does this look generic", "/visual-design".

mthines/agent-skills · 70 tokens

animations

Authors performant CSS-first web animations and picks the right feedback for an interaction — transitions, View Transitions, scroll-driven motion, Motion for React, reduced motion, and perceived performance. Triggers on "animate this", "hover effect", "feel faster", "skeleton loader", "/animations".

mthines/agent-skills · 61 tokens

animation-improvement-planning