Minutes Video Review
Analyze a product walkthrough, bug report video, Loom, or ScreenPal using Minutes...
Install
npx skills add silverstein/minutes --skill minutes-video-review -g -a claude-code -y- Repository
- silverstein/minutes1.6k
- Category
- Media
- Updated
- 3d ago
- License
- MIT
- Context cost
- Lightabout 1,349 tokens
- Runs scripts
- Yes, review before use
What it does
Analyze a product walkthrough, bug report video, Loom, or ScreenPal using Minutes transcription plus visual review. Use when the user wants a recorded demo or bug clip turned into a durable brief with transcript, key frames, issues, and next steps.
Skill Path
Before running helper scripts or opening bundled references, set:
export MINUTES_SKILLS_ROOT="$(git rev-parse --show-toplevel)/.agents/skills/minutes"
export MINUTES_SKILL_ROOT="$MINUTES_SKILLS_ROOT/minutes-video-review"
/minutes-video-review
Analyze a product walkthrough, bug report video, Loom, ScreenPal, or local recording into a durable artifact bundle that agents can keep working from.
This skill is for meeting-adjacent product artifacts, not for generic "understand any video" requests. Use it when the user wants a recorded demo, bug repro, or walkthrough turned into something actionable for engineering, product, support, or follow-up agent work.
What this skill does
The bundled script handles the deterministic pipeline:
- resolve a local file or hosted video URL
- download hosted video when needed
- extract audio with
ffmpeg - transcribe with Minutes first, using the user's existing Minutes transcription setup
- sample key frames with adaptive caps so long videos do not blow up context
- write a durable artifact bundle under
~/.minutes/video-reviews/
Then you review the resulting artifacts and return the actual user-facing brief.
Primary command
Local file:
python3 "$MINUTES_SKILL_ROOT/scripts/video_review.py" \
"/absolute/path/to/video.mp4"
Hosted video:
python3 "$MINUTES_SKILL_ROOT/scripts/video_review.py" \
"https://go.screenpal.com/watch/..."
Useful options:
python3 "$MINUTES_SKILL_ROOT/scripts/video_review.py" \
"https://www.loom.com/share/..." \
--focus "customer signup bug repro" \
--cookies-from-browser chrome \
--env-file /absolute/path/to/.env \
--frame-step 15 \
--max-frames 36 \
--keep-temp
How to use it
Phase 1: Run the pipeline
Run the script on the provided local file or hosted video URL.
The script prints JSON with the output artifact paths. Important outputs include:


