remotion-production

remotion-production is a skill for Claude Code from DojoCodingLabs/remotion-superpowers. It costs 67 tokens per session (1,088 once invoked), scanned A, original, MIT.

A production workflow for making videos in Remotion, a tool for creating videos with code. It coordinates voiceovers, music, sound effects, images, video clips, subtitles, stock media, and video analysis.

In plain words
What is it for?
Use it to create and render Remotion videos with audio, captions, stock footage, generated media, or analysis of existing videos.
Why use it?
It organizes the many media-generation and analysis steps needed to produce a complete video.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the remotion-superpowers plugin — 2 skills, 13 commands, 3 agents, 2 hooks, 5 MCP servers shipped together

Good fit Use it to create and render Remotion videos with audio, captions, stock footage, generated media, or analysis of existing videos.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dojocodinglabs/remotion-superpowers/remotion-production
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 DojoCodingLabs/remotion-superpowers --skill remotion-production
Clone the repo
git clone --depth 1 https://github.com/DojoCodingLabs/remotion-superpowers

Made for: Claude Code.

Or install remotion-superpowers, the plugin that ships this one along with the rest of its 2 skills, 13 commands, 3 agents, 2 hooks, 5 MCP servers.

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-production

README.md
[![agentmods](https://agentmods.dev/badge/skills/dojocodinglabs/remotion-superpowers/remotion-production.svg)](https://agentmods.dev/skills/dojocodinglabs/remotion-superpowers/remotion-production)
Your own site
<a href="https://agentmods.dev/skills/dojocodinglabs/remotion-superpowers/remotion-production"><img src="https://agentmods.dev/badge/skills/dojocodinglabs/remotion-superpowers/remotion-production.svg" alt="Measured on agentmods" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,088 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 $0.00067 $0.01088
Opus 5 $0.00034 $0.00544
Sonnet 5 $0.00013 $0.00218
Haiku 4.5 $0.00007 $0.00109

Measured 8d ago against content hash 8e2cfc1e62cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

remotion-production 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 8d 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-production/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Remotion Production Workflow

This skill teaches how to produce complete videos with Remotion by orchestrating multiple MCP tools together. It covers the full pipeline from concept to rendered MP4.

Available MCP Tools

You have access to these MCP servers for media production:

remotion-media (via KIE)

  • generate_tts — Text-to-speech voiceovers (ElevenLabs TTS)
  • generate_music — Background music (Suno V3.5–V5)
  • generate_sfx — Sound effects (ElevenLabs SFX V2)
  • generate_image — AI images (Nano Banana Pro)
  • generate_video — AI video clips (Veo 3.1)
  • generate_subtitles — Transcribe audio/video to SRT (Whisper)
  • list_assets — List all generated media in the project

TwelveLabs (video understanding)

  • Index and analyze video files
  • Semantic search within videos ("find the part where...")
  • Scene detection, object detection, speaker identification
  • Video summarization

Pexels (stock footage)

  • searchPhotos — Search free stock photos
  • searchVideos — Search free stock videos
  • getVideo / getPhoto — Get details by ID
  • downloadVideo — Download video to project

ElevenLabs (optional — advanced voice)

  • Voice cloning from audio samples
  • Advanced TTS with custom voices
  • Audio isolation and processing
  • Transcription

Replicate (optional — 100+ AI models)

  • replicate_run — Run a model synchronously (images)
  • replicate_create_prediction — Start async prediction (video)
  • replicate_get_prediction — Poll prediction status
  • Image models: FLUX 1.1 Pro, Imagen 4, Ideogram v3, FLUX Kontext
  • Video models: Wan 2.5 (T2V, I2V), Kling 2.6 Pro

Production Pipeline

Read individual rule files for detailed workflows:

  • rules/production-pipeline.md — End-to-end workflow from concept to final render
  • rules/audio-integration.md — How to integrate generated audio into Remotion compositions
  • rules/voiceover-sync.md — Syncing TTS voiceovers with animations and captions
  • rules/music-scoring.md — Generating and timing background music
  • rules/stock-footage-workflow.md — Searching, downloading, and using stock footage in Remotion
  • rules/video-analysis.md — Using TwelveLabs to analyze and select clips from existing footage
  • rules/captions-workflow.md — TikTok-style animated captions using @remotion/captions and Whisper
  • rules/animation-presets.md — Reusable animation patterns (fade, slide, scale, typewriter, stagger)
  • rules/3d-content.md — Three.js and React Three Fiber via @remotion/three
  • rules/data-visualization.md — Animated charts, dashboards, and number counters
  • rules/visual-effects.md — Light leaks, Lottie, film grain, vignettes, Ken Burns
  • rules/ci-rendering.md — GitHub Actions workflows for automated video rendering
  • rules/replicate-models.md — Replicate MCP model catalog, usage, and decision guide
  • rules/image-generation.md — AI image prompt engineering, provider selection, Remotion integration
  • rules/video-generation.md — AI video clip generation, I2V pipeline, sequencing in Remotion
  • rules/sound-effects.md — SFX generation, prompt engineering, timing to visual events
  • rules/elevenlabs-advanced.md — Voice cloning, custom TTS parameters, multi-voice scripts
  • rules/asset-management.md — File organization, naming conventions, staticFile() reference

Read the full file on GitHub · 79 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. 8d ago First seen · 79 lines · 67 tokens per session scan A 8e2cfc1e62cb

Subscribe to this mod's changes

remotion-production is a skill published in the GitHub repository DojoCodingLabs/remotion-superpowers (118 stars, last pushed 6mo ago), licensed MIT. It adds 67 tokens to every session and 1,088 once invoked, about $0.0003 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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