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
LEANN is the strongest overall pick here because it has a 100/100 readiness score and fits Local desktop.
Strongest overall
LEANN
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
LEANN
Best first install candidate based on install readiness and adoption.
Freshest repo
LEANN
Most recent maintenance signal among this shortlist.
| Signal | Dot Text-To-Speech, RAG, and LLMs. All local! | LEANN [MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device. | LEANN [MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device. | All In RAG 🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/ |
|---|---|---|---|---|
| Quality | 73/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 75/100 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. | 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 | 1.9K stars Verified outcomes are shown on each skill page | 13K stars Verified outcomes are shown on each skill page | 12K stars Verified outcomes are shown on each skill page | 8.5K stars Verified outcomes are shown on each skill page |
| Freshness | Dec 9, 2024 | Jul 3, 2026 | Jun 9, 2026 | Jun 5, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | JavaScript, RAG, Claude Code, LangChain | Python, RAG, Claude Code, OpenAI Agents, LangChain | Python, RAG, Claude Code, OpenAI Agents, LangChain | Python, RAG, Claude Code, LangChain |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata | No major risk signals from current metadata |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | Local desktop 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 require actively maintained dependencies · production agents without a repository 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 | 10 views 0 install copies | 7 views 0 install copies |
| Install | $ npx skills add alexpinel/Dot | $ npx skills add yichuan-w/LEANN | $ npx skills add StarTrail-org/LEANN | $ npx skills add datawhalechina/all-in-rag |