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.
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.
| 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
| Platform | Aspect Ratio | Resolution | Max Duration | Codec | Bitrate |
|---|---|---|---|---|---|
| YouTube | 16:9 | 1920×1080 | 12 hr | H.264 | 8–12 Mbps |
| YouTube Shorts | 9:16 | 1080×1920 | 60 sec | H.264 | 8 Mbps |
| TikTok | 9:16 | 1080×1920 | 10 min | H.264 | 6–8 Mbps |
| Instagram Reels | 9:16 | 1080×1920 | 90 sec | H.264 | 6 Mbps |
| Instagram Feed | 1:1 or 4:5 | 1080×1080 / 1080×1350 | 60 sec | H.264 | 5 Mbps |
| 16:9 or 1:1 | 1920×1080 / 1080×1080 | 10 min | H.264 | 5–8 Mbps | |
| Twitter/X | 16:9 | 1920×1080 | 2:20 | H.264 | 5 Mbps |
| Web embed | 16:9 | 1280×720 | — | H.264/WebM | 2–4 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:
| Setting | Recommendation | Why |
|---|---|---|
| CRF | 18–20 (high quality) | Lower = less blur edge artifacting |
| Preset | slow or medium | Better compression at same quality |
| Scale filter | Lanczos (flags=lanczos) | Sharper downscales |
| Re-encode count | ≤ 1 after BGBlur | Each 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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches video-export-optimize from GitHub repository whyashthakker/bgblur-video-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★45 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.
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