Generate high-quality videos from structured prompts with optional reference image guidance.
Creates JSON-formatted prompts specifying subject, style, camera work, dialogue, and audio elements
Supports reference images to guide or anchor the first/last frame of generated videos
Executes generation via Python script with configurable aspect ratio (default 16:9)
Integrates with image-generation skill to create reference frames when needed
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionvideo-generationExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/bytedance/deer-flow --skill video-generationFetches video-generation from bytedance/deer-flow 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:
Restart Cursor to activate video-generation. Access via /video-generationin your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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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
Run in your terminal
Package manager
npx skills add https://github.com/bytedance/deer-flow --skill video-generationWorks with
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Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
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.
bytedance/deer-flow
inference-sh/skills
bytedance/deer-flow
affaan-m/everything-claude-code
remotion-dev/skills
supercent-io/skills-template
video-generation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
video-generation has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: video-generation is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend video-generation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: video-generation is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in video-generation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
video-generation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
video-generation has been reliable in day-to-day use. Documentation quality is above average for community skills.
video-generation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in video-generation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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