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.

SignalOneRAG

Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests.

LightRAG

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

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.

Qdrant

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Quality
72/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
71/100
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.

Adoption124 stars
Verified outcomes are shown on each skill page
37K stars
Verified outcomes are shown on each skill page
91K stars
Verified outcomes are shown on each skill page
33K stars
Verified outcomes are shown on each skill page
FreshnessJun 18, 2026Jun 18, 2026Jul 18, 2026Jul 18, 2026
Use-case fit
Workflow fit
Platform hintsPython, RAG, Claude Code, OpenAI Agents, LangChainPython, Knowledge Graph, Claude Code, OpenAI AgentsPython, Knowledge Graph, Claude Code, OpenAI Agents, CursorRust, Vector Search, 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 projectsRAG and knowledge 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 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 notadev-iamaura/OneRAG
$ npx skills add HKUDS/LightRAG
$ npx skills add safishamsi/graphify
$ npx skills add qdrant/qdrant