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.

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Decision summary

Graphify is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

Graphify

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Graphify

Best first install candidate based on install readiness and adoption.

Freshest repo

Graphify

Most recent maintenance signal among this shortlist.

SignalNexusRAG

Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.

Graphify

AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.

Logseq

A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: https://logseq.io/p/NX4mc_ggEV

Trilium

Build your personal knowledge base with Trilium Notes

Quality
67/100
Promising
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
66/100
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.

Adoption317 stars
Verified outcomes are shown on each skill page
91K stars
Verified outcomes are shown on each skill page
44K stars
Verified outcomes are shown on each skill page
37K stars
Verified outcomes are shown on each skill page
FreshnessApr 20, 2026Jul 18, 2026Jun 25, 2026Jun 21, 2026
Use-case fit
Workflow fit
Platform hintsPython, Reranking, Claude CodePython, Knowledge Graph, Claude Code, OpenAI Agents, CursorClojure, Knowledge Graph, Claude CodeTypeScript, Knowledge Graph, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forRAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projectsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
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Install
$ npx skills add LeDat98/NexusRAG
$ npx skills add safishamsi/graphify
$ npx skills add logseq/logseq
$ npx skills add TriliumNext/Trilium