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 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
Qdrant
Most recent maintenance signal among this shortlist.
| Signal | 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/ | 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/ | Weaviate Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database. | Deeplake Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training. |
|---|---|---|---|---|
| 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 | 1.3K stars 0 installs | 32K stars 0 installs | 16K stars 0 installs | 9.2K stars 0 installs |
| Freshness | Jun 10, 2026 | Jun 14, 2026 | Jun 14, 2026 | May 21, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | C++, Vector Search, Claude Code | Rust, Vector Search, Claude Code | Go, Semantic 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 major risk signals from current metadata |
| 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 | 4 views 0 install copies | 1 views 0 install copies |
| Install | $ npx skills add endee-io/endee | $ npx skills add qdrant/qdrant | $ npx skills add weaviate/weaviate | $ npx skills add activeloopai/deeplake |