Analyze indexed video metadata to generate structured video proposals.
npx skills add https://github.com/lamtuanvu/agentskills --skill video-proposal
Please help me install this Agent Skill. Skill: video-proposal Source: https://github.com/lamtuanvu/agentskills/tree/main/skills/video-proposal Command: npx skills add https://github.com/lamtuanvu/agentskills --skill video-proposal
Analyzes a collection of indexed video metadata to identify themes, moods, and clip clusters, enabling automated proposal generation for short-form content.
Run the analyze_and_propose.py script on your collection-index.json to generate video-proposals.json.
High-intent search queries and answers about installing and using this skill.
To generate short-form video proposals from indexed metadata, run the analyze_and_propose.py script on your collection-index.json. It reads per-clip tags, moods, and durations to output a structured video-proposals.json with categories and best clips.
Automating proposal generation requires a collection-index.json containing indexed video metadata. The tool specifically reads per-clip tags, moods, durations, and location data to score clip quality and organize footage into meaningful categories.
Yes, you can plan TikTok or Reels content calendars by analyzing your footage library's metadata. The tool identifies themes and clip clusters, producing category-based ideas and a highlighted mix ready for drafting short-form video concepts.
Yes, the video proposal output supports traceability and downstream automation. Results are persisted to a video-proposals.json file, containing the collection summary, hero clips, and per-category ideas for seamless integration with CapCut.
During proposal analysis, video clips are scored for quality by evaluating the indexed metadata. The script reads per-clip tags, moods, durations, and location data to evaluate and rank the best clips for the final highlighted mix.
The best way to organize raw footage metadata is by creating a collection-index.json. This allows the proposal script to extract per-clip tags and moods automatically, grouping clips into meaningful categories to streamline content planning.
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