Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
VLM2Vec is the strongest overall pick here because it has a 93/100 readiness score and fits RAG and knowledge.
Strongest overall
VLM2Vec
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
VLM2Vec
Best first install candidate based on install readiness and adoption.
Freshest repo
VLM2Vec
Most recent maintenance signal among this shortlist.
| Signal | VLM2Vec This repo contains the code for "VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks" [ICLR 2025] |
|---|---|
| Quality | 82/100 Strong |
| Decision verdict | 93/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 655 stars 0 installs |
| Freshness | May 25, 2026 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Python, RAG, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add TIGER-AI-Lab/VLM2Vec |