Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Multimodal Asset Tagger
Generate AI-optimized Alt Text, file names, captions, and Schema markup for images, videos, and audio assets. Improves AI discoverability on Google Lens, Cha...
skill openclawclawhub Free
Generate AI-optimized Alt Text, file names, captions, and Schema markup for images, videos, and audio assets. Improves AI discoverability on Google Lens, Cha...
β¬ 0 downloads β
0 stars Unverified but indexed
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/optimize_asset.py, references/asset-guide.md, evals/evals.json
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
- geoly-geo
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Multimodal Asset Tagger
Methodology by GEOly AI (geoly.ai) β 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 TypeGoogle LensImage searchDirect image citationChatGPT VisionImage understandingContextual referencePerplexityVideo transcriptsTranscript citationsGeminiNative image processingMultimodal answers
Alt Text Formula
[Descriptive subject] + [Brand if relevant] + [Context/use case] Examples: β alt="image1.jpg" β alt="product photo" β alt="GEOly AI dashboard showing AIGVR score trend over 30 days" β alt="Brand visibility comparison chart across ChatGPT and Perplexity β GEOly AI"
Filename Formula
[primary-keyword]-[secondary-keyword]-[brand]-[descriptor].jpg Examples: β IMG_3847.jpg β geo-brand-visibility-dashboard-geoly-ai.png β aigvr-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" }
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 PracticeDescriptiveness30%Specific, detailedKeyword presence25%Natural inclusionBrand mention20%When relevantContext15%Use case clearLength10%100-150 chars for Alt Discoverability Score: 0-10 8-10: Excellent 6-7: Good 4-5: Fair <4: Poor
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Config
- SKILL.md
- references/asset-guide.md
- scripts/optimize_asset.py
- evals/evals.json