Review Animations logo

Review Animations

Community
JasonxzWen
review-animations

Load when existing animation or motion code, a motion diff, or a rendered interaction needs an evidence-backed craft review; report findings only and use code-review for general source review.

Overview

PublisherJasonxzWen
Repositoryharness-hub
Skill namereview-animations
Stars
71
Forks
0
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by JasonxzWen on GitHub. Read the source before you install it.

Installation

Install the Review Animations AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/JasonxzWen/harness-hub.git /tmp/harness-hub
mkdir -p .claude/skills
cp -r /tmp/harness-hub/skills/review-animations .claude/skills/review-animations
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Review Animations in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Review Animations on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Review Animations is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Reviewing Animations

Review only animation and motion behavior. Report only: do not edit source, install packages, or turn an aesthetic preference into a deterministic failure. Use code-review for general source defects and frontend-design only after the user separately authorizes implementation.

Read references/standards.md when a finding needs a concrete curve, duration, spring, gesture, performance, or accessibility starting point. Treat those values as craft criteria that require product context and current evidence.

Evidence Boundary

Inspect the relevant diff, source, rendered interaction, frequency, input mode, motion preferences, and product motion system. Cite file:line when source is available; otherwise anchor the finding to a route, component, state, viewport, or recording.

Separate observed behavior from inference. Do not claim dropped frames, compositor behavior, browser support, accessibility conformance, or interaction frequency without evidence. When feel is uncertain, request slow-motion, frame-by-frame, profiling, or real-device verification instead of guessing.

Review Criteria

Apply only criteria relevant to the interaction. A clue becomes a finding only when evidence connects it to user feedback, continuity, comprehension, efficiency, accessibility, performance, or product cohesion.

  1. Purpose. Motion should orient, explain state, provide feedback, preserve continuity, or prevent a jarring change.
  2. Frequency. Repeated and keyboard-driven actions usually need less motion than rare or explanatory moments.
  3. Easing and timing. Response should begin promptly and settle at a pace appropriate to the element, consequence, and product.
  4. Origin and physicality. Trigger-anchored surfaces should preserve the spatial relationship to their source; avoid motion that appears to come from nowhere.
  5. Interruptibility. Rapidly triggered or gesture-driven motion should retarget from its current state without visible jumps.
  6. Property cost. Investigate layout, paint, style-recalculation, and main-thread work; verify with profiling before making a performance claim.
  7. Accessibility. Provide a non-vestibular alternative for movement and gate hover-only motion to suitable input modes.
  8. Asymmetry. Deliberate input and system response may need different timing; symmetry is not automatically wrong.
  9. Cohesion. Motion should match the component, task, platform, and established product language.
  10. Deletion. Prefer removing motion that has no supported purpose or whose cost exceeds its value.

High-Signal Checks

Investigate these when present, but confirm context before reporting:

  • transition: all, layout-property animation, or broad parent CSS-variable updates;
  • scale(0), center-origin trigger surfaces, or pure fades that lose spatial continuity;
  • long or delayed response on frequent or keyboard-driven actions;
  • keyframes that visibly restart during rapid retriggering;
  • missing reduced-motion handling on movement;
  • hover motion without pointer/input gating;
  • large simultaneous entrances that delay interaction;
  • version-sensitive library acceleration claims made without current documentation or profiling.

Remedial Preference

Recommend the smallest coherent correction:

  1. delete motion without a supported purpose;
  2. reduce distance, duration, frequency, or animated properties;
  3. correct easing, origin, spatial path, or interruption behavior;
  4. use the project's existing motion primitives before adding a library;
  5. add reduced-motion and appropriate input-mode handling;
  6. profile before proposing performance-specific rewrites.

Required Output

Use one findings table, ordered by impact and confidence:

LocationObservedImpact / confidenceRecommendationVerification
file:line or rendered stateDirect evidenceUser consequence and confidenceSmallest contextual correctionCompleted result or Not run — <specific check>

After the table, state one of:

  • Evidence-backed motion findings remain, followed by the highest-risk unresolved check.
  • No evidence-backed motion finding found, followed by any material evidence gap.

Do not issue a merge approval or block from taste alone. Deterministic tests, accessibility checks, profiling, and project requirements outrank this review.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Review Animations AI skill do?

Load when existing animation or motion code, a motion diff, or a rendered interaction needs an evidence-backed craft review; report findings only and use code-review for general source review.

Why use Review Animations on TypingMind?

Because you install it once and use it with any model. Review Animations is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Review Animations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonxzWen/harness-hub/tree/main/skills/review-animations. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Review Animations?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Review Animations?

As many as you like. As long as a model supports skills, you can use Review Animations with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Review Animations AI skill free?

Yes. It is published on GitHub by JasonxzWen under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇