Programmable video production with Remotion, scene planning, asset orchestration, and validation gates for brand-consistent automated content.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add supercent-io/skills-template --skill video-productionCompatible with
Supported agents
Generates videos from text instructions through a structured five-step workflow: spec definition, scene outlining, asset preparation, Remotion composition implementation, and QA rendering
Supports multiple aspect ratios (16:9, 1:1, 9:16) and video lengths (30s–90s) with configurable tone, narration style, and language
Includes scene templates,
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionvideo-productionExecute the skills CLI command in your project's root directory to begin installation:
epx add supercent-io/skills-template --skill video-productionFetches video-production from supercent-io/skills-template and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/video-production
Restart Cursor to activate video-production. Access via /video-productionin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
task-estimation
supercent-io/skills-template · Productivity · same repo
omx
supercent-io/skills-template · Productivity · same repo
ui-component-patterns
supercent-io/skills-template · Frontend · same repo
plannotator
supercent-io/skills-template · Productivity · same repo
autoresearch
supercent-io/skills-template · Productivity · same repo
ffmpeg-analyse-video
fabriqaai/ffmpeg-analyse-video-skill · Video · tag: video
video-production reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in video-production — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added video-production from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
video-production has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: video-production is focused, and the summary matches what you get after install.
Keeps context tight: video-production is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend video-production for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
video-production reduced setup friction for our internal harness; good balance of opinion and flexibility.
video-production fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
video-production is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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