Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
Glasses to Social
Turn smart glasses photos into social media posts. Monitors a Google Drive folder for new images from Meta Ray-Ban glasses (or any smart glasses), analyzes them with vision AI, drafts tweets/posts in the user's voice, and publishes on approval. Use when setting up a glasses-to-social pipeline, processing smart glasses photos for social media, or creating hands-free content workflows.
skill openclawclawhub Free
Turn smart glasses photos into social media posts. Monitors a Google Drive folder for new images from Meta Ray-Ban glasses (or any smart glasses), analyzes them with vision AI, drafts tweets/posts in the user's voice, and publishes on approval. Use when setting up a glasses-to-social pipeline, processing smart glasses photos for social media, or creating hands-free content workflows.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/check-new-photos.sh, scripts/mark-processed.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Junebugg1214
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Glasses-to-Social
Transform photos from smart glasses into social media posts with AI-generated captions.
Overview
This skill creates a pipeline from smart glasses (Meta Ray-Ban, etc.) to social media: User snaps photo with glasses Photo syncs to Google Drive folder Agent detects new photo, analyzes with vision Agent drafts post matching user's voice/style User approves, agent publishes
1. Configure Google Drive Folder
Create a shared Google Drive folder for glasses photos: # User creates folder "Glasses-to-Social" in Google Drive # Share with "Anyone with link can view" # Copy the folder URL
2. Set Up Config
Create config file at glasses-to-social/config.json: { "googleDriveFolderUrl": "https://drive.google.com/drive/folders/YOUR_FOLDER_ID", "folderId": "YOUR_FOLDER_ID", "downloadPath": "./glasses-to-social/downloads", "processedFile": "./glasses-to-social/data/processed.json", "defaultHashtags": ["#MedicalAI", "#HealthTech"], "autoPost": false }
3. Configure Glasses Auto-Sync
For Meta Ray-Ban glasses: Open Meta View app on phone Settings > Gallery > Enable "Import Automatically" iOS: Enable Google Photos backup (syncs Camera Roll) Create iOS Shortcut to copy new Meta photos to Google Drive folder
Manual Check
Ask the agent to check for new photos: Check my glasses folder for new photos
Automated Monitoring
Set up a cron job to check periodically: { "name": "Glasses-to-Social: Check photos", "schedule": {"kind": "cron", "expr": "*/15 * * * *", "tz": "UTC"}, "payload": { "message": "Check the Glasses-to-Social folder for new photos. If found, analyze and draft a tweet." } }
Processing Flow
When a new photo is detected: Download from Google Drive using gdown: gdown --folder "FOLDER_URL" -O ./downloads/ --remaining-ok Compare against processed list in data/processed.json For new photos, analyze with vision: Describe the scene/subject Identify relevant context for social post Note any text, people, or notable elements Draft post matching user's voice: Keep it concise and authentic Add relevant hashtags First-person perspective works well for glasses content Send draft to user for approval: Include image preview Show proposed caption Wait for "POST" confirmation or edits On approval, publish to configured platform (X/Twitter, etc.) Mark photo as processed in data/processed.json
check-new-photos.sh
Checks Google Drive folder for new images: scripts/check-new-photos.sh Output format when new photo found: NEW_PHOTO_PATH:/path/to/downloaded/photo.jpg
File Tracking
Track processed photos in data/processed.json: { "processed": ["photo1.jpg", "photo2.jpg"], "pending": [] }
Tips
First-person POV content performs well ("Look what I just saw...") Keep captions authentic, not overly polished Works great for conferences, interesting sightings, daily moments Consider time-of-day context when drafting
Requirements
gdown Python package for Google Drive access Vision-capable model for image analysis Twitter/X credentials for posting (optional)
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Scripts1 Docs
- SKILL.md
- scripts/check-new-photos.sh
- scripts/mark-processed.sh