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
RAG Techniques is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
RAG Techniques
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
RAG Techniques
Best first install candidate based on install readiness and adoption.
Freshest repo
Ruby Llm
Most recent maintenance signal among this shortlist.
| Signal | Cleora Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team. | RAG Techniques This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial. | Ruby Llm One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code. | Text Embeddings Inference A blazing fast inference solution for text embeddings models |
|---|---|---|---|---|
| Quality | 74/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 85/100 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 | 540 stars 0 installs | 28K stars 0 installs | 4.0K stars 0 installs | 4.9K stars 0 installs |
| Freshness | Apr 2, 2026 | Jun 11, 2026 | Jun 15, 2026 | May 26, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Jupyter Notebook, Embeddings, Claude Code | Jupyter Notebook, Semantic Search, Claude Code, OpenAI Agents, LangChain | Ruby, Embeddings, Claude Code, OpenAI Agents | Rust, Embeddings, 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 BaseModelAI/cleora | $ npx skills add NirDiamant/RAG_Techniques | $ npx skills add crmne/ruby_llm | $ npx skills add huggingface/text-embeddings-inference |