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
Multimodal RAG Survey is the strongest overall pick here because it has a 67/100 readiness score and fits Coding agents.
Strongest overall
Multimodal RAG Survey
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
Multimodal RAG Survey
Best first install candidate based on install readiness and adoption.
Freshest repo
Multimodal RAG Survey
Most recent maintenance signal among this shortlist.
| Signal | Multimodal RAG Survey A Survey on Multimodal Retrieval-Augmented Generation |
|---|---|
| Quality | 65/100 Promising |
| Decision verdict | 67/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 524 stars Verified outcomes are shown on each skill page |
| Freshness | Feb 20, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | RAG, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Coding agents 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 llm-lab-org/Multimodal-RAG-Survey |