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

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

Strongest overall

DeepResearch

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

Fastest prototype

DeepResearch

Best first install candidate based on install readiness and adoption.

Freshest repo

Deep Research

Most recent maintenance signal among this shortlist.

SignalMedResearcher R1

MedResearcher-R1 is a deep research agent for medical scenarios, built on a knowledge-informed trajectory synthesis framework.

DeepResearch

Tongyi Deep Research, the Leading Open-source Deep Research Agent

Deep Research

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

Quality
66/100
Promising
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
68/100
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.

Adoption507 stars
Verified outcomes are shown on each skill page
20K stars
Verified outcomes are shown on each skill page
19K stars
Verified outcomes are shown on each skill page
20K stars
Verified outcomes are shown on each skill page
FreshnessSep 1, 2025Feb 27, 2026Apr 11, 2026Mar 2, 2026
Use-case fit
Workflow fit
Platform hintsPython, Research Agent, Claude CodePython, Research Agent, Claude CodeTypeScript, Research Agent, Claude Code, OpenAI AgentsPython, Research, Claude Code, OpenAI Agents
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 · 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
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Install
$ npx skills add AQ-MedAI/MedResearcher-R1
$ npx skills add Alibaba-NLP/DeepResearch
$ npx skills add dzhng/deep-research
$ npx skills add kaixindelele/ChatPaper