Tracely is a CI/CD system for AI agents that turns failed production traces into replayable regression tests. Development teams use it to detect and group agent failures, run the resulting cases on pull requests, and block changes that reproduce those failures. The catalogue entries provide skills for operating this trace-based testing and observability workflow.
Borrowing it
Nothing to install: this file belongs to Jwuthri/Tracely-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Jwuthri/Tracely-ai/master/.agents/skills/motion-design/SKILL.mdgit clone --depth 1 https://github.com/Jwuthri/Tracely-aiWrote 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.
[](https://agentmods.dev/skills/jwuthri/tracely-ai/motion-design)<a href="https://agentmods.dev/skills/jwuthri/tracely-ai/motion-design"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/motion-design/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.
<a href="https://agentmods.dev/skills/jwuthri/tracely-ai/motion-design"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/motion-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00082 | $0.03371 |
| Opus 5 | $0.00041 | $0.01685 |
| Sonnet 5 | $0.00016 | $0.00674 |
| Haiku 4.5 | $0.00008 | $0.00337 |
Grade A, and why
motion-design 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 9d 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.
This is a copy
100% identical to motion-design — 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.
How it starts
The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Motion Design Skill
When to Apply
Use this skill when:
- Creating UI animations (buttons, cards, modals, page transitions)
- Designing micro-interactions and feedback animations
- Building loading, success, or error states
- Animating illustrations or decorative elements
- Planning scroll-triggered or progress-based animations
- Establishing brand motion identity
- Choreographing multi-element sequences
Decision tree:
- Does it serve a functional purpose (feedback, guidance)? → Timing rules for responsiveness
- Does it express brand personality? → Motion Personality archetypes
- Does it tell a story or guide attention? → Disney principles + choreography
- Is this a complex multi-element scene? → 1/3 Rule + stagger patterns
Quick Reference: 8-Step Checklist
Before creating any animation:
- Emotional target? — joy, calm, urgency, elegance
- Motion Personality? — Playful, Premium, Corporate, Energetic
- Primary property? — position, scale, rotation, opacity
- Duration? — see duration table below
- Easing family? — entrance=decelerate, exit=accelerate
- Hero element? — apply staging principles
- Secondary + ambient layers? — add richness
- 1/3 rules? — motion distance, simultaneous elements
Three Pillars (CRITICAL)
Every animation must satisfy three pillars before any technical decisions:
| Pillar | Question | Drives |
|---|---|---|
| Emotional Intent | What should the viewer FEEL? | Easing, timing, amplitude |
| Visual Narrative | What's the micro-story? | Setup → Action → Resolution |
| Motion Craft | How do we make it believable? | Physics, secondary motion, paths |
Three motion layers (flat animation = missing layers):
- Primary: Main action the viewer follows
- Secondary: Supporting richness (shadows, icons shifting)
- Ambient: Background life (gradients, subtle pulses)
Deep dive: director/core-philosophy.md
What ships with it
16 files 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.
- director/choreography.md 3.0 KB
- director/context-adaptation.md 3.0 KB
- director/core-philosophy.md 1.8 KB
- director/decision-framework.md 2.8 KB
- director/disney-principles.md 3.1 KB
- director/emotion-mapping.md 2.8 KB
- director/motion-personality.md 2.9 KB
- director/narrative-structure.md 2.4 KB
- patterns/ambient-continuous.md 2.8 KB
- patterns/entrance-exit.md 2.8 KB
- patterns/multi-element.md 2.3 KB
- patterns/state-feedback.md 3.0 KB
- reference/property-selection.md 2.9 KB
- reference/quality-checklist.md 2.0 KB
- reference/timing-easing-tables.md 2.8 KB
- reference/troubleshooting.md 2.6 KB
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.
- 9d ago First seen · 316 lines · 82 tokens per session scan A 8729ecbc7e57
motion-design is a skill published in the GitHub repository Jwuthri/Tracely-ai (1,216 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 3,371 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to motion-design, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
image-exporter
Export local SVG and PNG image assets into a release bundle.
p5js
Use when users request: p5.js sketches, creative coding, generative art, interactive visualizations, canvas animations, browser-based visual art, data viz, shader effects, or any p5.js project.
webgl-particle-galaxy
A real-time particle galaxy — tens of thousands of additive-blended GPU points spiraling around a bright core, their orbits solved entirely in the vertex shader (from glVertexID), so the whole cloud draws in one call. Rendered as a single self-contained index.html. Use when the brief asks for a "particle field"…
webgl-liquid-metal
A real-time liquid-metal shader — a domain-warped noise field shaded as molten chrome, with a sweeping specular highlight over an iridescent thin-film (cosine-palette) sheen. No textures. Rendered as a single self-contained index.html. Use when the brief asks for "liquid metal", "molten chrome", "iridescent"…
webgl-aurora-veil
A self-contained WebGL2 hero: layered aurora light curtains warped over a night sky scattered with stars; move the cursor to sway the veil.
webgl-horizontal-parallax
A horizontal-scroll WebGL gallery (Three.js): frames glide sideways with lerp smoothing and each image parallaxes its texture (UV shift) by its position in the viewport.