remotion-best-practices

remotion-best-practices is a skill for Claude Code, Codex from anton-abyzov/vskill. It costs 126 tokens per session (10,854 once invoked), scanned A, original, MIT.

Guidance for creating Remotion videos in React; Remotion is a framework for rendering programmatic animations and videos. It covers compositions, motion, transitions, audio, captions, and detailed product-demo presentation.

In plain words
What is it for?
Use it when building or rendering MP4 demos, product walkthroughs, narrated presentations, animations, screen interactions, or highlighted interface elements with Remotion.
Why use it?
It helps turn a React video project into a believable walkthrough instead of a sequence of static slides.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/antonabyzov/Movies/.../Source.mov.

Good fit Use it when building or rendering MP4 demos, product walkthroughs, narrated presentations, animations, screen interactions, or highlighted interface elements with Remotion.

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Install

Getting it into your agent

There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.

Made for: Claude Code, Codex.

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.

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README.md
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Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,854 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00126 $0.10854
Opus 5 $0.00063 $0.05427
Sonnet 5 $0.00025 $0.02171
Haiku 4.5 $0.00013 $0.01085

Measured 12d ago against content hash 87e452a3f272, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

remotion-best-practices 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 12d 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/remotion-best-practices/SKILL.md · 845 lines

How it starts

The opening of the file, as written. The whole thing — 845 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/remotion-best-practices

Use this skill any time you are writing a Remotion composition — animated demo videos, product walkthroughs, hackathon submissions, narrated presentations — anything rendered to MP4 via npx remotion render.

The skill bundles two layers of knowledge:

  1. Remotion fundamentals — the upstream rule files maintained by the Remotion team at github.com/remotion-dev/skills (compositions, animations, fonts, audio, transitions, FFmpeg, captions, etc.).
  2. Demo-video craft rules — lessons captured from a long iteration cycle building the vskill / Skill Studio hackathon demo. These are the rules that, when broken, produce a "slideshow" instead of a believable product walkthrough.

Read both layers before authoring.


Scope and applicability

The Layer 2 craft rules below were derived from one specific project: the vskill / Skill Studio hackathon demo (Anthropic / Claude Code "Built with Opus" hackathon, April 2026). They reflect the look-and-feel of that product — Studio chrome with breadcrumb header, sidebar tree, dark verified-skill.com pages with mono fonts, terminal scenes, an editorial "Inter is AI-slop, distinctive serif is excellence" thesis.

Do not apply these rules verbatim to unrelated demos. A consumer-mobile, a finance dashboard, a game, or a B2B SaaS pitch will have its own visual language, its own pacing, and its own audience expectations. A Save-then-Publish flow, a verified-skill.com/queue page, or a Studio sidebar with PROJECT/PERSONAL/PLUGINS counts is content, not craft.

Use this layer as a reference for the underlying technique: the camera-zoom pattern, the cursor-targeting discipline, the content-tight highlight rectangle, the in-place state transitions, the voiceover/script.ts coupling, the render+audio-boost pipeline — those generalize. The exact constants (1.72× zoom, x=1488 button center, v1.0.0 → v1.0.1 version pill, "Tier-1 patterns · Tier-2 LLM · Socket" attribution) are Skill Studio specifics — translate, do not copy.

Read the full file on GitHub · 845 lines

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.

  1. 12d ago First seen · 845 lines · 126 tokens per session scan A 87e452a3f272

Subscribe to this mod's changes

remotion-best-practices is a skill published in the GitHub repository anton-abyzov/vskill (45 stars, last pushed 5d ago), licensed MIT. It adds 126 tokens to every session and 10,854 once invoked, about $0.0006 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.

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