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

WeKnora

Most recent maintenance signal among this shortlist.

SignalSearch

Go library for embedded vector search and semantic embeddings using llama.cpp

WeKnora

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

RAG Techniques

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

Txtai

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Quality
75/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
86/100
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.

Adoption551 stars
0 installs
16K stars
0 installs
28K stars
0 installs
13K stars
0 installs
FreshnessMar 6, 2026Jun 18, 2026Jun 17, 2026Jun 18, 2026
Use-case fit
Stack fit
Platform hintsGo, Search, Claude CodeGo, Semantic Search, Claude CodeJupyter Notebook, Semantic Search, Claude Code, OpenAI Agents, LangChainPython, Semantic Search, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo major risk signals from current metadata
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
10 views
1 install copies
0 views
0 install copies
3 views
0 install copies
Install
$ npx skills add kelindar/search
$ npx skills add Tencent/WeKnora
$ npx skills add NirDiamant/RAG_Techniques
$ npx skills add neuml/txtai