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
Txtai is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Txtai
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Txtai
Best first install candidate based on install readiness and adoption.
Freshest repo
Txtai
Most recent maintenance signal among this shortlist.
| Signal | Contextualized Topic Models A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.). | FlagEmbedding Retrieval and Retrieval-augmented LLMs | 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. |
|---|---|---|---|---|
| Quality | 75/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 77/100 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 | 1.3K stars 0 installs | 12K stars 0 installs | 13K stars 0 installs | 9.4K stars 0 installs |
| Freshness | Jul 24, 2025 | Apr 22, 2026 | Jun 22, 2026 | Jun 16, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Embeddings, Claude Code | Python, Embeddings, Claude Code | Python, Semantic Search, Claude Code | Java, Embeddings, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No major risk signals from current metadata | 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 | 5 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add MilaNLProc/contextualized-topic-models | $ npx skills add FlagOpen/FlagEmbedding | $ npx skills add neuml/txtai | $ npx skills add apache/seatunnel |