video-presentation-skill
Generate interactive HTML presentations for ANY video type (tutorials, comparisons, fact-checks, explainers, etc.). Creates self-contained, screen-recording-optimized slides with various content types including...
Browse published AI skills maintained by SGobet. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
7Repository stars across indexed skills
35Repository forks
21Average repository stars per indexed skill
5Repository stars may repeat across skills from the same repository.
Generate interactive HTML presentations for ANY video type (tutorials, comparisons, fact-checks, explainers, etc.). Creates self-contained, screen-recording-optimized slides with various content types including...
Creates a new YouTube video project with comprehensive research, competitor analysis, folder structure, and todo.md for progress tracking. Uses Playwright MCP to fetch vidIQ stats, analyze competitors, and gath...
Analyze YouTube videos to generate viral video ideas and scripts. Use when given YouTube URLs to research, when asked to analyze competitors, generate video ideas from existing videos, or create a script based...
Create vertical (9:16) interactive presentations optimized for YouTube Shorts, TikTok, and Instagram Reels. Takes YouTube video URLs to extract facts via Playwright MCP and web research, then generates animated...
Complete pre-production workflow that chains research, project creation, script generation, and presentation in one seamless flow. Use when starting a new video from competitor research all the way through to a...
Analyze your uploaded YouTube videos' performance against competitor benchmarks using Playwright MCP. Use when asked to review video analytics, compare performance, check how a video is doing, or reflect on a v...
Collects vidIQ data via guided copy-paste workflow and generates metadata.md with optimized YouTube title, description, tags, and hashtags. Use after script generation or when preparing video for upload.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.