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
Llm App is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Llm App
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Llm App
Best first install candidate based on install readiness and adoption.
Freshest repo
Graphrag
Most recent maintenance signal among this shortlist.
| Signal | KG RAG Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks | Graphrag A modular graph-based Retrieval-Augmented Generation (RAG) system | DB GPT open-source agentic AI data assistant for the next generation of AI + Data products. | Llm App Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more. |
|---|---|---|---|---|
| Quality | 56/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 58/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 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 | 939 stars 0 installs | 34K stars 0 installs | 19K stars 0 installs | 59K stars 0 installs |
| Freshness | Nov 9, 2024 | Jun 18, 2026 | Jun 18, 2026 | Jun 10, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, RAG, Claude Code, OpenAI Agents | Python, RAG, Claude Code, OpenAI Agents | Python, RAG, Claude Code, OpenAI Agents | Jupyter Notebook, RAG, 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 BaranziniLab/KG_RAG | $ npx skills add microsoft/graphrag | $ npx skills add eosphoros-ai/DB-GPT | $ npx skills add pathwaycom/llm-app |