Skills

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:

Read the whole SKILL.md on GitHub

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