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.

Add more skills

Decision summary

RAG Techniques is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.

Strongest overall

RAG Techniques

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

Fastest prototype

RAG Techniques

Best first install candidate based on install readiness and adoption.

Freshest repo

RAG Techniques

Most recent maintenance signal among this shortlist.

SignalWhat Are Embeddings

A deep dive into embeddings starting from fundamentals

FlagEmbedding

Retrieval and Retrieval-augmented LLMs

RAG Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

Seatunnel

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

Quality
83/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
85/100
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.

Adoption1.1K stars
0 installs
12K stars
0 installs
28K stars
0 installs
9.4K stars
0 installs
FreshnessJan 17, 2026Apr 22, 2026Jun 17, 2026Jun 16, 2026
Use-case fit
Workflow fit
Platform hintsJupyter Notebook, Embeddings, Claude CodePython, Embeddings, Claude CodeJupyter Notebook, Semantic Search, Claude Code, OpenAI Agents, LangChainJava, Embeddings, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forRAG and knowledge 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 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
OpenAgentSkill engagement0 views
0 install copies
5 views
0 install copies
0 views
0 install copies
0 views
0 install copies
Install
$ npx skills add veekaybee/what_are_embeddings
$ npx skills add FlagOpen/FlagEmbedding
$ npx skills add NirDiamant/RAG_Techniques
$ npx skills add apache/seatunnel