Structured prompting techniques for generating high-quality videos across multiple AI platforms.
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 inferen-sh/skills --skill video-prompting-guideCompatible with
Supported agents
Covers eight video generation models (Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora) with model-specific optimization tips
Provides a reusable prompt formula combining shot type, subject, action, setting, lighting, style, and technical parameters
Includes reference tables for shot types, camera movements, lighting keywords, and visual aesthetics with practical examples
Demonstrat
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionvideo-prompting-guideExecute the skills CLI command in your project's root directory to begin installation:
epx add inferen-sh/skills --skill video-prompting-guideFetches video-prompting-guide from inferen-sh/skills 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-prompting-guide
Restart Cursor to activate video-prompting-guide. Access via /video-prompting-guidein 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.
ffmpeg-analyse-video
fabriqaai/ffmpeg-analyse-video-skill · Video · tag: video
antigravity-design-expert
sickn33/antigravity-awesome-skills · Frontend · same category
high-end-visual-design
leonxlnx/taste-skill · Frontend · same category
premium-frontend-ui
github/awesome-copilot · Frontend · same category
react-vite-best-practices
asyrafhussin/agent-skills · Frontend · same category
next-best-practices
vercel-labs/next-skills · Frontend · same category
video-prompting-guide is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: video-prompting-guide is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: video-prompting-guide is the kind of skill you can hand to a new teammate without a long onboarding doc.
video-prompting-guide reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for video-prompting-guide matched our evaluation — installs cleanly and behaves as described in the markdown.
video-prompting-guide is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for video-prompting-guide matched our evaluation — installs cleanly and behaves as described in the markdown.
video-prompting-guide reduced setup friction for our internal harness; good balance of opinion and flexibility.
video-prompting-guide fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend video-prompting-guide for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
showing 1-10 of 32