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Animation Principles Troubleshooting

Community
dylantarre
Animation Principles - Troubleshooting

Use when animation feels wrong and you need to diagnose which principle is failing or being misapplied

Overview

Publisherdylantarre
Repositoryanimation-principles
Skill nameAnimation Principles - Troubleshooting
Stars
84
Forks
12
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Animation Principles Troubleshooting 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/dylantarre/animation-principles.git /tmp/animation-principles
mkdir -p .claude/skills
cp -r /tmp/animation-principles/skills/04-by-skill-level/troubleshooting .claude/skills/dylantarre-animation-principles-troubleshooting
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Animation Principles Troubleshooting 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 Animation Principles Troubleshooting 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 Animation Principles Troubleshooting 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.

Animation Troubleshooting Guide

Something's off. Use this to find and fix it.

Symptom-Based Diagnosis

"It feels floaty/weightless"

Check:

  • Slow in/out - Is spacing too even? Add bunching at start/end
  • Timing - Need more frames for weight? Fewer for snap?
  • Squash/stretch - Impact reaction visible?
  • Follow through - Settling properly or just stopping?

Fix: Add 2-4 frames to settle. Increase spacing variation. Add impact squash.

"It feels stiff/robotic"

Check:

  • Arcs - Are paths too straight?
  • Overlap - Is everything moving at once?
  • Secondary action - Is it present?
  • Anticipation - Too uniform?

Fix: Offset timing between body parts. Curve your motion paths. Vary anticipation amounts.

"I can't tell what's happening"

Check:

  • Staging - Silhouette clear?
  • Anticipation - Is viewer prepared for action?
  • Timing - Too fast to read?
  • Exaggeration - Key poses pushed enough?

Fix: Simplify composition. Add anticipation frames. Extend key poses. Push silhouette.

"It feels dead/lifeless"

Check:

  • Secondary action - Present and supporting?
  • Overlap - Different parts moving differently?
  • Timing - Varied or monotonous?
  • Appeal - Character design working?

Fix: Layer in secondary actions. Offset everything by 1-3 frames. Vary timing between actions.

"It feels cartoony when it should be subtle" (or vice versa)

Check:

  • Exaggeration - Calibrated to style?
  • Squash/stretch - Amount appropriate?
  • Timing - Snappy vs. naturalistic?
  • Anticipation - Size matches style?

Fix: Dial exaggeration to match reference. Adjust squash/stretch ratios. Match timing to style guide.

"Something feels wrong but I can't identify it"

Check:

  • Arcs - Track every moving part. Find the broken curve.
  • Volume - Is squash/stretch preserving mass?
  • Twins - Are poses too symmetrical?
  • Spacing - Graph your drawings. Find the anomaly.

Fix: Often it's one broken arc or inconsistent spacing. Track paths obsessively.

Principle Conflict Symptoms

Anticipation vs. Surprise: Big anticipation kills surprise. Choose intentionally.

Exaggeration vs. Subtlety: Can't have both. What does the scene need?

Follow through vs. Snappiness: Heavy follow through softens snappy timing. Balance.

Secondary vs. Primary: If secondary distracts, remove it regardless of quality.

Last Resort Fixes

  1. Return to blocking. Is the idea clear at the key pose level?
  2. Remove all overlap/secondary. Does primary action work alone?
  3. Reference check. Compare to reality or quality examples.
  4. Fresh eyes. Walk away. Return tomorrow.

If multiple principles are failing, fix timing and arcs first. Everything else depends on them.

Frequently asked questions

What does the Animation Principles Troubleshooting AI skill do?

Use when animation feels wrong and you need to diagnose which principle is failing or being misapplied

Why use Animation Principles Troubleshooting on TypingMind?

Because you install it once and use it with any model. Animation Principles Troubleshooting 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 Animation Principles Troubleshooting in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dylantarre/animation-principles/tree/main/skills/04-by-skill-level/troubleshooting. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Animation Principles Troubleshooting?

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 Animation Principles Troubleshooting?

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

Is the Animation Principles Troubleshooting AI skill free?

Yes. It is published on GitHub by dylantarre 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.

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