Identify clip-worthy moments from video transcriptions and generate segments.json with timestamps.
npx skills add https://github.com/aj47/agent-skills --skill clipper
Please help me install this Agent Skill. Skill: clipper Source: https://github.com/aj47/agent-skills/tree/main/.claude/skills/clipper Command: npx skills add https://github.com/aj47/agent-skills --skill clipper
Analyze video transcriptions to identify clip-worthy moments, enabling automated clipping workflows and narrative-aware highlights.
Use the transcription to automatically detect clips and run the end-to-end pipeline: parse the transcription, analyze segments, validate narratives, merge results into segments.json, and prepare clips for extraction.
High-intent search queries and answers about installing and using this skill.
You can find clip-worthy moments in video transcriptions by analyzing the text for high-energy reactions, tips, and teaching moments. The Skill outputs a segments.json file with precise timestamps, suggested titles, and context for automated clipping workflows.
Automate video clip extraction by parsing the transcription, analyzing segments, and validating narratives. The pipeline generates a segments.json file with timestamped clips and coordinates extraction using provided automation scripts to package the final video segments.
Yes, you can validate narrative completeness when generating video clips by checking segments against story templates like ARGUMENT, TUTORIAL, DISCOVERY, COMPARISON, and PROBLEM-SOLUTION. This ensures highlights form complete stories and identifies gaps or orphan-beat issues.
The best way to create topic-based compilations from video transcripts is to run an end-to-end pipeline that parses text, detects signals, and auto-creates compilations. It merges results into segments.json with ready-to-extract clips and a narrative validation report.
Narrative-aware highlight detection works for teaching moments and tips by identifying valuable segments in transcripts. It validates these moments against story templates to ensure the extracted clips maintain narrative completeness and context.
Extracted video clips may have incomplete stories due to narrative gaps or orphan-beat issues. Running a narrative validation report against story templates like ARGUMENT or TUTORIAL identifies these structural problems before final packaging.
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