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geo-multimodal-tagger地理多模态标记器

Agent Skill

geo-multimodal-tagger 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

12,355

周安装

520

GitHub Stars

公开资料未说明

下载量

4,326
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:geo-multimodal-tagger(地理多模态标记器)
来源仓库:https://github.com/geoly-geo/geo-multimodal-tagger
安装命令:
openclaw skills install geo-multimodal-tagger
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 geo-multimodal-tagger

简介

geo-multimodal-tagger 用于查找、检索和筛选相关信息,适合在 OpenClaw 中根据关键词或任务场景快速定位候选结果。

  • 适用于为图像、视频和音频资源生成 AI 优化的替代文本和文件名。
  • 通过 clawhub 安装,需结合原始 README 核验具体用法,注意权限与维护状态。
  • 安装命令为 openclaw skills install geo-multimodal-tagger,来源仓库为 geoly-geo/geo-multimodal-tagger。
  • 使用前建议确认是否会触发联网、命令执行或文件读写等操作。

SKILL.md

name
geo-multimodal-tagger
description
Generate AI-optimized Alt Text, file names, captions, and Schema markup for images, videos, and audio assets. Improves AI discoverability on Google Lens, ChatGPT Vision, and Perplexity. Use whenever the user mentions optimizing images for AI, writing Alt Text, generating video Schema, tagging assets for AI discoverability, or making images visible in ChatGPT Vision and Google Lens.

Multimodal Asset Tagger

Methodology by GEOly AI (geoly.ai) — every image and video is a citation opportunity AI can either read or miss.

Generate optimized metadata for images, videos, and audio files for AI platforms.

Quick Start

python scripts/optimize_asset.py --type image --description "dashboard showing metrics" --output optimized.md

Why Multimodal Matters

AI platforms increasingly read visual content:

PlatformVisual CapabilityCitation Type
Google LensImage searchDirect image citation
ChatGPT VisionImage understandingContextual reference
PerplexityVideo transcriptsTranscript citations
GeminiNative image processingMultimodal answers

Image Optimization

Alt Text Formula

[Descriptive subject] + [Brand if relevant] + [Context/use case]

Examples:

alt="image1.jpg"alt="product photo"alt="GEOly AI dashboard showing AIGVR score trend over 30 days"alt="Brand visibility comparison chart across ChatGPT and Perplexity — GEOly AI"

Filename Formula

[primary-keyword]-[secondary-keyword]-[brand]-[descriptor].jpg

Examples:

IMG_3847.jpggeo-brand-visibility-dashboard-geoly-ai.pngaigvr-score-chart-ai-search-monitoring.jpg

ImageObject Schema

{
  "@context": "https://schema.org",
  "@type": "ImageObject",
  "name": "AIGVR Score Dashboard",
  "description": "Dashboard showing brand visibility scores across AI platforms",
  "contentUrl": "https://example.com/images/dashboard.jpg",
  "author": {
    "@type": "Organization",
    "name": "GEOly AI"
  },
  "keywords": "AIGVR, brand visibility, AI search, dashboard"
}

Video Optimization

Checklist

  • [ ] Title contains primary keyword
  • [ ] Description: first 150 chars = keyword + brand
  • [ ] Transcript/captions attached (SRT/VTT)
  • [ ] Chapters/timestamps for long videos
  • [ ] Thumbnail: keyword-rich filename
  • [ ] VideoObject Schema added

VideoObject Schema

{
  "@context": "https://schema.org",
  "@type": "VideoObject",
  "name": "How to Optimize for AI Search",
  "description": "Complete guide to GEO strategies...",
  "thumbnailUrl": "https://example.com/thumbs/geo-guide.jpg",
  "uploadDate": "2024-01-15",
  "duration": "PT12M30S",
  "contentUrl": "https://example.com/videos/geo-guide.mp4"
}

Audio/Podcast Optimization

  • Descriptive episode titles (not "Episode 47")
  • 150+ word descriptions, keyword-rich
  • Full transcript as page content
  • Guest names and topics as entities

Asset Optimization Tool

python scripts/optimize_asset.py \
  --type [image|video|audio] \
  --description "Asset description" \
  --brand "BrandName" \
  --keywords "keyword1,keyword2"

Output:

  • Optimized Alt Text
  • Recommended filename
  • Schema markup
  • Discoverability score (Before/After)

Scoring

FactorWeightBest Practice
Descriptiveness30%Specific, detailed
Keyword presence25%Natural inclusion
Brand mention20%When relevant
Context15%Use case clear
Length10%100-150 chars for Alt

Discoverability Score: 0-10

  • 8-10: Excellent
  • 6-7: Good
  • 4-5: Fair
  • <4: Poor

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

按任务关键词查找相关 Skills

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

91.1%
按下载量换算3,941

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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