Post-process raw screen recordings to improve pacing — remove silent segments, then speed up the result.
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 zc277584121/marketing-skills --skill raw-video-processingCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionraw-video-processingExecute the skills CLI command in your project's root directory to begin installation:
epx add zc277584121/marketing-skills --skill raw-video-processingFetches raw-video-processing from zc277584121/marketing-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/raw-video-processing
Restart Cursor to activate raw-video-processing. Access via /raw-video-processingin 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.
mermaid-to-gif
zc277584121/marketing-skills · AI/ML · same repo
remove-ai-style
zc277584121/marketing-skills · AI/ML · same repo
github-traffic
zc277584121/marketing-skills · Productivity · same repo
content-rewrite
zc277584121/marketing-skills · Marketing · same repo
video-analyzer
zrong/skills · Video · tag: video
video-understand
heygen-com/skills · Video · tag: video
Solid pick for teams standardizing on skills: raw-video-processing is focused, and the summary matches what you get after install.
We added raw-video-processing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend raw-video-processing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: raw-video-processing is the kind of skill you can hand to a new teammate without a long onboarding doc.
raw-video-processing reduced setup friction for our internal harness; good balance of opinion and flexibility.
raw-video-processing reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for raw-video-processing matched our evaluation — installs cleanly and behaves as described in the markdown.
raw-video-processing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
raw-video-processing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in raw-video-processing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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