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
Elasticsearch is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Elasticsearch
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Elasticsearch
Best first install candidate based on install readiness and adoption.
Freshest repo
RAG Techniques
Most recent maintenance signal among this shortlist.
| Signal | What Are Embeddings A deep dive into embeddings starting from fundamentals | RAG Techniques This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial. | Seatunnel SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool. | Elasticsearch Free and Open Source, Distributed, RESTful Search Engine |
|---|---|---|---|---|
| Quality | 79/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 81/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 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 | 1.1K stars Verified outcomes are shown on each skill page | 28K stars Verified outcomes are shown on each skill page | 9.4K stars Verified outcomes are shown on each skill page | 77K stars Verified outcomes are shown on each skill page |
| Freshness | Jan 17, 2026 | Jun 17, 2026 | Jun 16, 2026 | Jun 16, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, Embeddings, Claude Code | Jupyter Notebook, Semantic Search, Claude Code, OpenAI Agents, LangChain | Java, Embeddings, Claude Code | Java, Search, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | 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 | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add veekaybee/what_are_embeddings | $ npx skills add NirDiamant/RAG_Techniques | $ npx skills add apache/seatunnel | $ npx skills add elastic/elasticsearch |