videoofficial

video-export-optimize

whyashthakker/bgblur-video-skills · updated May 23, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/whyashthakker/bgblur-video-skills --skill video-export-optimize
0 commentsdiscussion
summary

Optimize blurred video exports for YouTube, TikTok, Instagram, LinkedIn, and web delivery. Covers codec settings, aspect ratios, bitrate targets, and platform upload specs after BGBlur processing. Use when user mentions export settings, social media video, platform upload, bitrate, H.264, WebM, vertical video, Reels, Shorts, or publishing blurred videos.

skill.md
name
video-export-optimize
description
Optimize blurred video exports for YouTube, TikTok, Instagram, LinkedIn, and web delivery. Covers codec settings, aspect ratios, bitrate targets, and platform upload specs after BGBlur processing. Use when user mentions export settings, social media video, platform upload, bitrate, H.264, WebM, vertical video, Reels, Shorts, or publishing blurred videos.
argument-hint
target platform, aspect ratio, or quality vs file-size goal
allowed-tools
Read, Write, Shell

Video Export Optimize Skill

Export blurred videos from BGBlur with platform-optimized settings. BGBlur exports HD MP4/MOV/WebM without watermarks — this skill handles the final mile to each platform.

Quick Reference

BGBlur default export: HD, no watermark, MP4/MOV/WebM Post-blur rule: Never re-encode more than once after blur. If platform needs different specs, transcode once from BGBlur output.

Platform Specs

PlatformAspect RatioResolutionMax DurationCodecBitrate
YouTube16:91920×108012 hrH.2648–12 Mbps
YouTube Shorts9:161080×192060 secH.2648 Mbps
TikTok9:161080×192010 minH.2646–8 Mbps
Instagram Reels9:161080×192090 secH.2646 Mbps
Instagram Feed1:1 or 4:51080×1080 / 1080×135060 secH.2645 Mbps
LinkedIn16:9 or 1:11920×1080 / 1080×108010 minH.2645–8 Mbps
Twitter/X16:91920×10802:20H.2645 Mbps
Web embed16:91280×720H.264/WebM2–4 Mbps

Workflow

Step 1: Export from BGBlur

Choose export format in BGBlur:

  • MP4 (H.264) — universal default; use for all social platforms
  • MOV — pro workflows, Final Cut / Premiere round-trip
  • WebM — web-only delivery, smaller files

Step 2: Platform Transcode (if needed)

YouTube / LinkedIn (16:9, 1080p):

ffmpeg -i bgblur_output.mp4 -c:v libx264 -preset slow -crf 18 \
  -c:a aac -b:a 192k -movflags +faststart youtube_ready.mp4

TikTok / Reels / Shorts (9:16 vertical):

ffmpeg -i bgblur_output.mp4 \
  -vf "scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920" \
  -c:v libx264 -preset slow -crf 20 -c:a aac -b:a 128k \
  -movflags +faststart vertical_ready.mp4

Instagram Feed (1:1 square):

ffmpeg -i bgblur_output.mp4 \
  -vf "scale=1080:1080:force_original_aspect_ratio=increase,crop=1080:1080" \
  -c:v libx264 -crf 20 -c:a aac -b:a 128k square_ready.mp4

Web-optimized (smaller file):

ffmpeg -i bgblur_output.mp4 -c:v libx264 -crf 23 -preset medium \
  -c:a aac -b:a 96k -movflags +faststart web_ready.mp4

WebM for web players:

ffmpeg -i bgblur_output.mp4 -c:v libvpx-vp9 -crf 30 -b:v 0 \
  -c:a libopus -b:a 96k web_ready.webm

Step 3: Preserve Blur Quality

Blur masks are sensitive to re-encoding. Minimize quality loss:

SettingRecommendationWhy
CRF18–20 (high quality)Lower = less blur edge artifacting
Presetslow or mediumBetter compression at same quality
Scale filterLanczos (flags=lanczos)Sharper downscales
Re-encode count≤ 1 after BGBlurEach pass softens blur boundaries

High-quality scale:

ffmpeg -i input.mp4 -vf "scale=1920:1080:flags=lanczos" -c:v libx264 -crf 18 -c:a copy output.mp4

Step 4: Audio Handling

BGBlur processes video only. Normalize audio for platform loudness:

# Target -14 LUFS (YouTube/Spotify standard)
ffmpeg -i input.mp4 -af "loudnorm=I=-14:TP=-1.5:LRA=11" -c:v copy -c:a aac audio_normalized.mp4

Remove audio entirely (privacy — spoken PII):

ffmpeg -i input.mp4 -an -c:v copy silent.mp4

Step 5: Thumbnail Extraction

Extract a representative frame for platform thumbnails:

# Frame at 3 seconds
ffmpeg -i bgblur_output.mp4 -ss 00:00:03 -vframes 1 -q:v 2 thumbnail.jpg

Step 6: Validate Export

python3 scripts/export_check.py "final_export.mp4" --platform youtube

GIF Export (from BGBlur animated content)

For GIF blur exports or GIF-to-blurred-video workflows:

ffmpeg -i bgblur_output.mp4 -vf "fps=15,scale=480:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" \
  output.gif

Report Template

## Export Optimization Report

### Source
- BGBlur export: [MP4/MOV/WebM]
- Resolution: [WxH] | Duration: [X min]

### Target Platform
- Platform: [YouTube / TikTok / etc.]
- Aspect ratio: [16:9 / 9:16 / 1:1]
- Output file: [filename] ([size])

### Settings Applied
- Codec: [H.264 CRF X]
- Audio: [normalized / removed / unchanged]
- Re-encode passes after blur: [1]

### Checklist
- [ ] Aspect ratio matches platform
- [ ] File size within upload limit
- [ ] Blur edges visually clean after transcode
- [ ] Thumbnail extracted

BGBlur Reference

Export directly from BGBlur in HD without watermarks. Use this skill for platform-specific transcoding after export.

how to use video-export-optimize

How to use video-export-optimize on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add video-export-optimize
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/whyashthakker/bgblur-video-skills --skill video-export-optimize

The skills CLI fetches video-export-optimize from GitHub repository whyashthakker/bgblur-video-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/video-export-optimize

Reload or restart Cursor to activate video-export-optimize. Access the skill through slash commands (e.g., /video-export-optimize) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.645 reviews
  • Lucas Harris· Dec 20, 2024

    video-export-optimize is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Tariq Robinson· Dec 20, 2024

    video-export-optimize fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ama Flores· Dec 16, 2024

    I recommend video-export-optimize for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ganesh Mohane· Dec 4, 2024

    video-export-optimize has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Lucas Yang· Dec 4, 2024

    Solid pick for teams standardizing on skills: video-export-optimize is focused, and the summary matches what you get after install.

  • Rahul Santra· Nov 23, 2024

    Keeps context tight: video-export-optimize is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Tariq Harris· Nov 23, 2024

    Registry listing for video-export-optimize matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Lucas Zhang· Nov 11, 2024

    We added video-export-optimize from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Chinedu Choi· Nov 7, 2024

    Useful defaults in video-export-optimize — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Jin Brown· Oct 26, 2024

    Registry listing for video-export-optimize matched our evaluation — installs cleanly and behaves as described in the markdown.

showing 1-10 of 45

1 / 5