Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Qdrant is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Qdrant
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Qdrant
Best first install candidate based on install readiness and adoption.
Freshest repo
Vespa
Most recent maintenance signal among this shortlist.
| Signal | Dingo A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency. | Qdrant Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ | Vespa The AI search platform | Endee Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in cloud https://endee.io/ |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 1.7K stars 0 installs | 32K stars 0 installs | 7.0K stars 0 installs | 1.3K stars 0 installs |
| Freshness | May 25, 2026 | Jun 14, 2026 | Jun 16, 2026 | Jun 10, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Java, Vector Search, Claude Code | Rust, Vector Search, Claude Code | Java, Vector Search, Claude Code | C++, Vector Search, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No major risk signals from current metadata | No major risk signals from current metadata | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | 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 | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 6 views 0 install copies | 3 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add dingodb/dingo | $ npx skills add qdrant/qdrant | $ npx skills add vespa-engine/vespa | $ npx skills add endee-io/endee |