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glass2clawglass2claw 数据库

Agent Skill

glass2claw 用于处理数据库查询、表结构、迁移和数据维护任务,适合在 OpenClaw 中需要分析 schema、编写 SQL 或排查数据问题时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

21,690

周安装

869

GitHub Stars

1

下载量

7,022
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:glass2claw(glass2claw 数据库)
来源仓库:https://github.com/jonathanjing/glass2claw
安装命令:
openclaw skills install glass2claw
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install glass2claw

简介

雷朋眼镜 → 语音命令 → WhatsApp → OpenClaw 自动将您的照片传送到正确的数据库中。免提生活记录。

SKILL.md

name
glass2claw
description
Ray-Ban glasses → voice command → WhatsApp → OpenClaw auto-routes your photo into the right database. Hands-free life logging.
version
2.3.3
metadata

glass2claw: From Your Eyes to Your Database — Instantly

🛠️ Installation

1. Ask OpenClaw (Recommended)

Tell OpenClaw: *"Install the glass2claw skill."* The agent will handle the installation and configuration automatically.

2. Manual Installation (CLI)

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.


📸 How It Works

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.


🔧 What You Need to Set Up

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.

🔒 Privacy

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.


📦 What's Included

  • 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*

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

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按下载量换算5,177

安全审计

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通过

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Static analysis

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权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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