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video-chapters
Generate YouTube chapter markers from transcript content.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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Generate YouTube chapter markers from transcript content.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
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| name | video-chapters |
| description | Generate YouTube chapter markers from transcript content. |
Generate YouTube chapter markers by reading the transcript and identifying topic boundaries. No script — do this by reading the transcript and reasoning about where topics change.
All outputs go in <project_root>/claude-edits/.
<project_root>/claude-edits/
<video_stem>_chapters.txt # YouTube-format chapter list
<video_stem>_chapters.json # Structured chapter data with timeline times
_analysis.json or _review.md)Chapters reference source timestamps, but the edited video has cuts. To map:
# Build map from EDL kept segments
timeline_pos = 0.0
for seg in kept_segments:
if source_time >= seg["start"] and source_time <= seg["end"]:
timeline_time = timeline_pos + (source_time - seg["start"])
timeline_pos += seg["end"] - seg["start"]
_chapters.txt (paste directly into YouTube description):
0:00 Introduction
0:42 The Just File
1:48 Running Scripts with AI Agents
...
_chapters.json (for Resolve markers):
{
"chapters": [
{"source_time": 0.0, "title": "Introduction", "timeline_time": 0.0},
{"source_time": 51.3, "title": "The Just File", "timeline_time": 42.0}
]
}