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
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
Txtai
Most recent maintenance signal among this shortlist.
| Signal | Keras TextClassification 中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN | Txtai 💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows | Seatunnel SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool. | RAG Techniques This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial. |
|---|---|---|---|---|
| Quality | 73/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 75/100 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 | 1.8K stars Verified outcomes are shown on each skill page | 13K stars Verified outcomes are shown on each skill page | 9.4K stars Verified outcomes are shown on each skill page | 28K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 17, 2024 | Jun 22, 2026 | Jun 16, 2026 | Jun 17, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Embeddings, Claude Code | Python, Semantic Search, Claude Code | Java, Embeddings, Claude Code | Jupyter Notebook, Semantic Search, Claude Code, OpenAI Agents, LangChain |
| Warnings | Repository looks stale · 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 require actively maintained dependencies · production agents without a repository 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 yongzhuo/Keras-TextClassification | $ npx skills add neuml/txtai | $ npx skills add apache/seatunnel | $ npx skills add NirDiamant/RAG_Techniques |