Text-to-Lottie is a framework that lets coding agents generate and edit Lottie animations from text instructions and source assets. It provides a project player where developers can inspect, scrub, and refine scenes as the agent changes them.
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.
npx agentmods add skills/diffusionstudio/lottie/text-to-lottienpx skills add diffusionstudio/lottie --skill text-to-lottiegit clone --depth 1 https://github.com/diffusionstudio/lottieWrote 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/diffusionstudio/lottie/text-to-lottie)<a href="https://agentmods.dev/skills/diffusionstudio/lottie/text-to-lottie"><img src="https://agentmods.dev/badge/skills/diffusionstudio/lottie/text-to-lottie.svg" alt="Measured on agentmods" 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 | $0.00084 | $0.02281 |
| Opus 5 | $0.00042 | $0.01141 |
| Sonnet 5 | $0.00017 | $0.00456 |
| Haiku 4.5 | $0.00008 | $0.00228 |
Grade A, and why
text-to-lottie 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Text To Lottie
Author production-ready Lottie JSON for the official local Skia Skottie player. The deliverable is a renderable scene in the player, not isolated JSON.
Operating Model
- Use the official player project and verify in Skia Skottie. Do not hand-roll a custom viewer or switch renderers for verification.
- Keep the skill portable across Agent Skills clients. Avoid host-specific commands, command modes, or orchestration conventions in skill instructions.
- Prefer fewer questions and stronger defaults. Ask only when a decision changes the output materially, such as transparent vs full-frame background, brand constraints, target format, or supplied source assets.
- Prioritize clean, intentional, professional motion over merely satisfying the literal prompt.
Reference Loading
This SKILL.md is the thin control plane. Load only one-level references that
match the task. Do not open the whole reference library.
Always read references/player-contract.md before creating, editing, fixing, or
verifying a scene. If a routed reference is unavailable, continue using the
inline rules in this file.
| User intent | References to read when present |
|---|---|
| Any new/edit/fix Lottie scene | references/player-contract.md |
| JSON structure, keyframes, slots, shapes, assets | references/lottie-spec-map.md |
| Logo animation | references/recipe-logo.md, references/motion-taste.md, references/design-taste.md |
| Typography, title, quote, text reveal | references/recipe-typography.md, references/design-taste.md, references/motion-taste.md |
| Lower third, name tag, caption bar, overlay | references/recipe-lower-thirds.md, references/design-taste.md, references/motion-taste.md |
| Loader, icon, spinner, badge animation | references/recipe-loaders-icons.md, references/motion-taste.md |
| Success, error, warning, completion, empty state | references/recipe-loaders-icons.md, references/design-taste.md, references/motion-taste.md |
| UI microinteraction | references/recipe-ui-microinteractions.md, references/design-taste.md, references/motion-taste.md |
| Generic "animate this SVG" or SVG-to-Lottie | references/recipe-svg-animation.md, references/svg-compatibility.md, references/motion-taste.md |
| Camera follow, pan, zoom, parallax, scene motion | references/recipe-camera-scene-motion.md, references/design-taste.md, references/motion-taste.md |
| Diagram, technical line animation, callout, flow trace | references/recipe-diagram-technical.md, references/design-taste.md, references/motion-taste.md |
| Data, stats, KPIs, charts, metrics, dashboard figures | references/recipe-data-stats.md, references/design-taste.md, references/motion-taste.md |
| Product launch, feature announcement, social promo | references/recipe-product-promo.md, references/design-taste.md, references/motion-taste.md |
| Long text, multiple ideas, list/features/steps, timeline, before/after, problem/solution, quote+proof, recap/story, product walkthrough, multi-language variations, chapters, multi-beat sequence, episode, jump/hard cuts, transition grammar | references/chapterization-transition-grammar.md, references/motion-taste.md |
| Glow, glass, metal, gradient, fill, bubble/burst effects | references/recipe-visual-effects.md, references/design-taste.md, references/motion-taste.md |
| SVG input inside logo/icon/UI/lower-third work | The task recipe plus references/svg-compatibility.md |
| Starter brief or reusable project direction | references/recipe-starter-projects.md, references/design-taste.md, references/motion-taste.md |
| Any "premium", "clean", "minimal", "modern", "sleek", or "polished" qualifier | references/design-taste.md (restraint defaults), plus the routed recipe |
What ships with it
22 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.
- evals/output-rubric.md 11 KB
- evals/reference-loading-prompts.json 5.4 KB
- evals/routing-prompts.json 9.1 KB
- evals/trigger-prompts.json 3.0 KB
- references/chapterization-transition-grammar.md 8.7 KB
- references/design-taste.md 15 KB
- references/lottie-spec-map.md 3.2 KB
- references/motion-taste.md 13 KB
- references/player-contract.md 14 KB
- references/recipe-camera-scene-motion.md 2.6 KB
- references/recipe-data-stats.md 5.0 KB
- references/recipe-diagram-technical.md 4.8 KB
- references/recipe-loaders-icons.md 2.7 KB
- references/recipe-logo.md 2.8 KB
- references/recipe-lower-thirds.md 2.1 KB
- references/recipe-product-promo.md 4.3 KB
- references/recipe-starter-projects.md 2.5 KB
- references/recipe-svg-animation.md 2.6 KB
- references/recipe-typography.md 7.8 KB
- references/recipe-ui-microinteractions.md 2.6 KB
- references/recipe-visual-effects.md 4.8 KB
- references/svg-compatibility.md 3.6 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.
- 6d ago First seen · 163 lines · 84 tokens per session scan A d2e5e6151f07
text-to-lottie is a skill published in the GitHub repository diffusionstudio/lottie (5,410 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 2,281 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…