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
KAG is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
KAG
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
KAG
Best first install candidate based on install readiness and adoption.
Freshest repo
KAG
Most recent maintenance signal among this shortlist.
| Signal | AmpliGraph Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org | Dgl Ke High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings. | KAG KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model. | AI Knowledge Graph AI Powered Knowledge Graph Generator |
|---|---|---|---|---|
| Quality | 74/100 Strong | 85/100 Excellent | 100/100 Excellent | 95/100 Excellent |
| Decision verdict | 76/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 87/100 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 | 2.2K stars 0 installs | 1.3K stars 0 installs | 8.8K stars 0 installs | 2.3K stars 0 installs |
| Freshness | Nov 22, 2024 | Aug 8, 2025 | Jan 28, 2026 | Dec 28, 2025 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Knowledge Graph, Claude Code | Python, Knowledge Graph, Claude Code | Python, Knowledge Graph, Claude Code | Python, Knowledge Graph, Claude Code |
| 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 Accenture/AmpliGraph | $ npx skills add awslabs/dgl-ke | $ npx skills add OpenSPG/KAG | $ npx skills add robert-mcdermott/ai-knowledge-graph |