Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Ray-Ban glasses → voice command → WhatsApp → OpenClaw auto-routes your photo into the right database. Hands-free life logging.
Ray-Ban glasses → voice command → WhatsApp → OpenClaw auto-routes your photo into the right database. Hands-free life logging.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Tell OpenClaw: "Install the glass2claw skill." The agent will handle the installation and configuration automatically.
If you prefer the terminal, run: clawhub install glass2claw You're wearing your Meta Ray-Ban glasses. You see a wine label, a business card, a tea tin. You say: "Hey Meta, take a picture and send this to myself on WhatsApp." That's it. OpenClaw does the rest. The photo lands in your WhatsApp. OpenClaw's Vision Router picks it up, classifies what it is, and writes a structured entry into the right database — wine cellar, contacts, tea collection, whatever you've set up. No typing. No app switching. No friction.
Meta Ray-Ban glasses → "Hey Meta, take a picture and send this to myself on WhatsApp" → Meta AI delivers the photo to your WhatsApp → OpenClaw (WhatsApp session) receives the image → classifies intent: Wine | Tea | Contacts | Cigar | ... → routes to the matching specialist agent → writes structured entry to your database Your only action is the voice command. Everything downstream is automatic.
This skill is a routing protocol — it defines the pattern, not the specific implementation. You bring your own: Meta AI + WhatsApp connection — enable Meta AI on your Ray-Ban glasses and link it to WhatsApp (one-time setup in the Meta View app) OpenClaw with WhatsApp channel — your OpenClaw instance needs a WhatsApp session to receive the incoming images Destination databases — connect whichever databases you want: Notion, Airtable, a local file, a Discord channel. The skill routes to wherever you configure it Database credentials — set up API access for your chosen database yourself (Notion API key, Airtable token, etc.) The skill templates in this package show one reference implementation using Notion + Discord. Adapt them to your own stack.
This skill processes photos from your personal camera. Images flow from WhatsApp → your OpenClaw instance → your configured destination. Any external services you connect (Notion, Discord, etc.) are governed by their own privacy policies. All routing logic runs on your own OpenClaw instance.
SAMPLE_AGENT.md — reference routing logic for the hub agent SAMPLE_SOUL_WINE.md — reference persona for a wine specialist agent Use these as starting points. Customize for your own categories and destinations. Created by JonathanJing | AI Reliability Architect
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.