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.

SignalGraphify

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.

Llm Wiki Agent

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.

LightRAG

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

Graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

Quality
100/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
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.

100/100
Production-ready

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

Adoption60K stars
0 installs
2.9K stars
0 installs
36K stars
0 installs
34K stars
0 installs
FreshnessJun 6, 2026Jun 2, 2026Jun 6, 2026Jun 5, 2026
Use-case fit
Stack fit
Platform hintsPython, RAG, Claude Code, OpenAI Agents, CursorPython, RAG, Claude Code, OpenAI AgentsPython, RAG, Claude Code, OpenAI AgentsPython, RAG, Claude Code, OpenAI Agents
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo major risk signals from current metadataNo major risk signals from current metadata
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents 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
OpenAgentSkill engagement0 views
0 install copies
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0 install copies
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1 install copies
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0 install copies
Install
$ npx skills add safishamsi/graphify
$ npx skills add SamurAIGPT/llm-wiki-agent
$ npx skills add HKUDS/LightRAG
$ npx skills add microsoft/graphrag