remotion-best-practices

remotion-best-practices is a skill for Claude Code, Codex from Marve10s/Better-Fullstack. It costs 17 tokens per session (1,030 once invoked), scanned A, a copy of remotion-best-practices, MIT.

A collection of guidance for making videos with Remotion, a React-based video creation tool. It covers common areas such as animations, media files, audio, captions, subtitles, and video processing.

In plain words
What is it for?
Use it while writing or reviewing Remotion code, including animations, imported images or audio, subtitles, sound effects, audio visualisations, and video timing.
Why use it?
It helps developers follow Remotion-specific practices instead of guessing how to structure video code. The relevant rule can be selected for the type of media or effect being built.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it while writing or reviewing Remotion code, including animations, imported images or audio, subtitles, sound effects, audio visualisations, and video timing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/marve10s/better-fullstack/remotion-best-practices
Install

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.

Any agent
npx skills add Marve10s/Better-Fullstack --skill remotion-best-practices
Clone the repo
git clone --depth 1 https://github.com/Marve10s/Better-Fullstack

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.

agentmods badge for remotion-best-practices

README.md
[![agentmods](https://agentmods.dev/badge/skills/marve10s/better-fullstack/remotion-best-practices.svg)](https://agentmods.dev/skills/marve10s/better-fullstack/remotion-best-practices)
Your own site
<a href="https://agentmods.dev/skills/marve10s/better-fullstack/remotion-best-practices"><img src="https://agentmods.dev/badge/skills/marve10s/better-fullstack/remotion-best-practices.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,030 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 80% copy Near-identical to another mod 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 $0.00017 $0.01030
Opus 5 $0.00009 $0.00515
Sonnet 5 $0.00003 $0.00206
Haiku 4.5 $0.00002 $0.00103

Measured 7d ago against content hash 7552b2809f3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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.

Origin

This is a copy

80% identical to remotion-best-practices — 15 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.

.agents/skills/remotion-best-practices/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to use

Use this skills whenever you are dealing with Remotion code to obtain the domain-specific knowledge.

Captions

When dealing with captions or subtitles, load the ./rules/subtitles.md file for more information.

Using FFmpeg

For some video operations, such as trimming videos or detecting silence, FFmpeg should be used. Load the ./rules/ffmpeg.md file for more information.

Audio visualization

When needing to visualize audio (spectrum bars, waveforms, bass-reactive effects), load the ./rules/audio-visualization.md file for more information.

Sound effects

When needing to use sound effects, load the ./rules/sfx.md file for more information.

How to use

Read individual rule files for detailed explanations and code examples:

Read the full file on GitHub · 62 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. 7d ago First seen · 62 lines · 17 tokens per session scan A 7552b2809f3f

Subscribe to this mod's changes

remotion-best-practices is a skill published in the GitHub repository Marve10s/Better-Fullstack (730 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 1,030 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to remotion-best-practices, differing in 15 lines, and is treated as a copy.

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