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

Prompt Engineering Guide is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

Prompt Engineering Guide

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

Fastest prototype

Prompt Engineering Guide

Best first install candidate based on install readiness and adoption.

Freshest repo

Haystack

Most recent maintenance signal among this shortlist.

SignalDeeplake

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

CV

✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

Prompt Engineering Guide

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Quality
100/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
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.

100/100
Production-ready

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

Adoption9.2K stars
0 installs
22K stars
0 installs
75K stars
0 installs
25K stars
0 installs
FreshnessMay 21, 2026Apr 27, 2026Mar 11, 2026Jun 5, 2026
Use-case fit
Stack fit
Platform hintsC++, RAG, Claude CodeJupyter Notebook, RAG, Claude CodeMDX, RAG, Claude Code, OpenAI AgentsMDX, RAG, Claude Code, OpenAI Agents
WarningsNo major risk signals from current metadataNo major risk signals from current metadataNo major risk signals from current metadataNo major risk signals from current metadata
Best forLocal desktop workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents 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 activeloopai/deeplake
$ npx skills add AccumulateMore/CV
$ npx skills add dair-ai/Prompt-Engineering-Guide
$ npx skills add deepset-ai/haystack