---
name: remotion-prompt-generator-0fa425046cb3
description: "Generate detailed, production-ready prompts for the Remotion Dev skill to create programmatic React-based videos. MANDATORY TRIGGERS: remotion prompt, video prompt, generate video prompt, remotion video, create video prompt, video brief, video specification, make a video, create a video. Also trigger when user wants to create any kind of video using Remotion, needs help describing a video project, wants a prompt for a video generation tool, or asks for a video brief/spec. When in doubt, use it."
license: MIT
metadata:
  version: "1.1.0"
  author: Abhishek Sharma
  tags: ["remotion", "video-generation", "prompt-engineering", "react-video", "ai-prompts"]
---

# Remotion Prompt Generator — Skill Router

> Generate comprehensive, structured prompts that the Remotion Dev skill can use to produce professional programmatic videos.

## MANDATORY: Always-Load References

**Before generating ANY prompt, you MUST read these two files first:**
1. `references/remotion-capabilities.md` — Core Remotion knowledge (architecture, features, limitations, packages)
2. `references/intelligent-inference.md` — How to analyze vague requests and auto-fill smart defaults

## MANDATORY: Web Search Requirement

**Before generating a prompt, you MUST perform web search** to gather context about what the user is building:
- Search for the user's product/company/industry if mentioned
- Search for current design trends relevant to their video type
- Search for competitor examples or reference videos in their space
- This context makes prompts dramatically better — never skip it

## Reference Files

| Reference | File | Read When |
|-----------|------|-----------|
| **Remotion Capabilities** | `references/remotion-capabilities.md` | **ALWAYS READ FIRST** — core Remotion knowledge needed for every prompt |
| **Intelligent Inference** | `references/intelligent-inference.md` | **ALWAYS READ** — how to handle vague prompts, auto-fill defaults, infer from signals |
| **Video Types (Router)** | `references/video-types.md` | Identifying video category: marketing, social, data-viz, education, e-commerce, etc. |
| **Prompt Engineering** | `references/prompt-engineering.md` | How to structure the final prompt output, 12-section format, scene descriptions |
| **Discovery Workflow** | `references/discovery-workflow.md` | Follow-up questions to ask users, requirement gathering, clarification strategies |
| **Asset & Styling Guide** | `references/asset-styling-guide.md` | Colors, fonts, logos, images, audio, branding, dimensions, platform specs |
| **Animation & Effects** | `references/animation-effects.md` | Spring physics, transitions, easing, text animations, 3D, particles, motion patterns |
| **Domain Examples (Router)** | `references/prompt-engineering/domain-examples.md` | Real prompt examples for specific industries: SaaS, real estate, finance, education |

## How This Skill Works

1. **ALWAYS** read `remotion-capabilities.md` and `intelligent-inference.md` first
2. **ALWAYS** do a web search about what the user wants to build (their product, industry, competitors)
3. Analyze the user's request — extract every signal, infer what you can, auto-fill smart defaults
4. Ask only 2-3 critical questions that cannot be inferred (use AskUserQuestion tool)
5. Read the relevant video-type sub-reference and domain example
6. Generate a complete, detailed, 12-section structured prompt for the Remotion Dev skill
7. The Remotion Dev skill uses that prompt to write React/Remotion code

## Quick Reference

- **Remotion docs:** https://remotion.dev/docs
- **GitHub:** https://github.com/remotion-dev/remotion
- **Templates:** https://remotion.dev/templates


---
Source attribution: Abhishek Sharma
Original project: https://github.com/NeverSight/skills_feed/blob/207b5ff7176b749a98b5dfccf2bf57f3b6f6e85d/data/skills-md/abhisheksharma-17/skills-graph/remotion-prompt-generator/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: Abhishek Sharma
Original project: https://github.com/NeverSight/skills_feed/blob/207b5ff7176b749a98b5dfccf2bf57f3b6f6e85d/data/skills-md/abhisheksharma-17/skills-graph/remotion-prompt-generator/SKILL.md
Attribution basis: Source repository record

Fields of work: Development & Engineering, Marketing
Roles: Frontend Developer, Product Marketer, Content Marketer
Specialties: Frontend, API
Tools: Remotion
Country applicability: Country not specified
Classification basis: Source category, role and specialization labels
Instruction SHA-256: acd6e718ec4fb1bedd8281929866a12eca07301a9f3bf2451207a3a674448736