Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
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
DeepResearchAgent
Most recent maintenance signal among this shortlist.
| Signal | DeepResearchAgent DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains. | 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. | DeepResearch Tongyi Deep Research, the Leading Open-source Deep Research Agent | 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 | 97/100 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. |
| Adoption | 3.5K 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 | 20K stars Verified outcomes are shown on each skill page |
| Freshness | May 4, 2026 | Apr 11, 2026 | Feb 27, 2026 | Mar 2, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Research Agent, Claude Code | TypeScript, Research Agent, Claude Code, OpenAI Agents | Python, Research Agent, Claude Code | Python, Research, Claude Code, OpenAI Agents |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add SkyworkAI/DeepResearchAgent | $ npx skills add dzhng/deep-research | $ npx skills add Alibaba-NLP/DeepResearch | $ npx skills add kaixindelele/ChatPaper |