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

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

Strongest overall

Controllable RAG Agent

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

Fastest prototype

Controllable RAG Agent

Best first install candidate based on install readiness and adoption.

Freshest repo

Controllable RAG Agent

Most recent maintenance signal among this shortlist.

SignalChatd

Chat with your documents using local AI

RAG From Scratch

Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

AnglE

Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard

Controllable RAG Agent

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

Quality
71/100
Strong
93/100
Excellent
79/100
Strong
100/100
Excellent
Decision verdict
73/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

100/100
Production-ready

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

90/100
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
1.5K stars
0 installs
571 stars
0 installs
1.6K stars
0 installs
FreshnessJul 6, 2024Mar 11, 2026Mar 22, 2026Jun 4, 2026
Use-case fit
Stack fit
Platform hintsJavaScript, RAG, Claude CodeJavaScript, RAG, Claude CodePython, RAG, Claude CodeJupyter Notebook, RAG, Claude Code, LangChain
WarningsRepository looks stale · No 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 require actively maintained dependencies · production agents without a repository 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 BruceMacD/chatd
$ npx skills add pguso/rag-from-scratch
$ npx skills add SeanLee97/AnglE
$ npx skills add NirDiamant/Controllable-RAG-Agent