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
DocsGPT is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
DocsGPT
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
DocsGPT
Best first install candidate based on install readiness and adoption.
Freshest repo
DocsGPT
Most recent maintenance signal among this shortlist.
| Signal | Lotus Optimized LLM-Powered Data Processing: up to 1000x speedups with fast, accurate query processing, that's as simple as writing Pandas code | Memvid Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory. | FlagEmbedding Retrieval and Retrieval-augmented LLMs | DocsGPT Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents. |
|---|---|---|---|---|
| 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. |
| Adoption | 1.6K stars 0 installs | 16K stars 0 installs | 12K stars 0 installs | 18K stars 0 installs |
| Freshness | Jun 13, 2026 | May 27, 2026 | Apr 22, 2026 | Jul 16, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Semantic Search, Claude Code | Rust, Semantic Search, Claude Code | Python, Embeddings, Claude Code | Python, Semantic Search, Claude Code, OpenAI Agents |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata | 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 | 5 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add lotus-data/lotus | $ npx skills add memvid/memvid | $ npx skills add FlagOpen/FlagEmbedding | $ npx skills add arc53/DocsGPT |