Video Highlight Skill

Long-video agent workflow for analyzing videos, building timestamped content indexes, selecting highlights, creating clip plans, cutting clips with subtitles, and generating recap pages. Use when Codex is asked to turn long videos, meeting recordings, course videos, livestreams, sports or esports replays, product demos, talks, or conference recordings into highlight reels, structured reports, meeting notes, timestamped course indexes, or shareable recap packages.

25 stars 3 forksImages, Video & Audio

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add inhai-wiki/video-highlight-skill --skill video-highlight-skill

Manual install

git clone --depth 1 https://github.com/inhai-wiki/video-highlight-skill.git /tmp/video-highlight-skill
mkdir -p ~/.claude/skills
cp -r /tmp/video-highlight-skill/. ~/.claude/skills/video-highlight-skill

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Video Highlight Skill

Use this skill to convert a long video into a structured content product: highlight clips, a recap page, a meeting summary, a course index, or a report.

## Workflow

Before running commands, locate the skill directory that contains this `SKILL.md`. Call that path `<skill_dir>`. The helper script must exist at `<skill_dir>/scripts/video_highlight.py`. If `scripts/video_highlight.py` is missing, the skill installation is incomplete; reinstall or clone the full repository before continuing.

1. Create a work directory.
   - Run `python3 <skill_dir>/scripts/video_highlight.py init-project --output <workdir> --scenario <highlight|meeting|course|live|report>`.
   - Keep all generated files in that work directory.

2. Inspect the source video.
   - Run `python3 <skill_dir>/scripts/video_highlight.py probe <video> --output <workdir>/metadata.json`.
   - Use duration, dimensions, and stream metadata to choose frame sampling and clip limits.

3. Extract analysis inputs.
   - Run `python3 <skill_dir>/scripts/video_highlight.py extract-audio <video> --output <workdir>/audio.wav` for transcription.
   - Run `python3 <skill_dir>/scripts/video_highlight.py sample-frames <video> --output-dir <workdir>/frames --interval 30` for visual review.
   - Lower `--interval` to 5-15 seconds for sports, demos, UI walkthroughs, or visually dense videos.

4. Build a timestamped index.
   - Transcribe audio with the available speech or multimodal model.

Read the full skill on GitHub

Details

Skill name: video-highlight-skill
Repository: inhai-wiki/video-highlight-skill
License: MIT
Repo updated: 7 June 2026

FAQ

What does the Video Highlight Skill skill do?

How do I install the Video Highlight Skill skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add inhai-wiki/video-highlight-skill --skill video-highlight-skill. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Video Highlight Skill popular?

It lives in inhai-wiki/video-highlight-skill, which has 25 GitHub stars and 3 forks.

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