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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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.

WrenAI

Turn any AI Agents into world-class data analysts through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build GenBI, agentic BI, text-to-sql, dashboards, and agentic analytics.

Mianshiya

持续维护的企业面试题库网站,帮你拿到满意 offer!⭐️ 2026年最新Java面试题、前端面试题、AI大模型面试题、AI Agent面试题、RAG面试题、C++面试题、Go面试题、Python面试题、测试面试题、运维面试题、后端面试题、操作系统面试题、计算机网络面试题、Redis面试题、MySQL数据库面试题、算法面试题、Spring面试题、JVM面试题、Java并发面试题、Linux面试题、LLM面试题、Prompt工程面试题、系统设计面试题等1万多道高频程序员求职必备八股文。面试刷题就选面试鸭 💎 React 前端 + Node 后端 + 云开发全栈项目 by 程序员鱼皮

Memgraph

High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.

Quality
100/100
Excellent
100/100
Excellent
99/100
Excellent
100/100
Excellent
Adoption52K stars
0 installs
15K stars
0 installs
5.5K stars
0 installs
4.1K stars
0 installs
FreshnessMay 22, 2026May 22, 2026Feb 4, 2026May 22, 2026
Use-case fit
Stack fit
Platform hintsPython, RAG, Claude Code, OpenAI Agents, CursorPython, RAG, Claude CodeTypeScript, AI Agents, Claude CodeC++, AI Agents, Claude Code
WarningsNo major warning signalsNo major warning signalsNo major warning signalsNo major warning signals
Install
$ npx skills add safishamsi/graphify
$ npx skills add Canner/WrenAI
$ npx skills add liyupi/mianshiya
$ npx skills add memgraph/memgraph