architect-rag
Skill1 starsChanged 21 days agoNo licenceView on GitHub
RAG/记忆检索架构评估。评估检索增强生成系统的多路检索、融合策略、分层架构、索引管理、嵌入质量。 触发关键词: RAG、检索增强、记忆引擎、向量检索、语义搜索、知识库、embedding、检索融合、rerank、分层检索、记忆管理、memory engine。
In this repository18 other files it gives its agents.
- architect-agentSkill
- architect-complianceSkill
- architect-contextSkill
- architect-costSkill
- architect-dataSkill
- architect-designSkill
- architect-docsSkill
- architect-frontendSkill
- architect-gitSkill
- architect-netSkill
- architect-observabilitySkill
- architect-opsSkill
- architect-pluginSkill
- architect-reviewSkill
- architect-routerSkill
- architect-securitySkill
- architect-testSkill
- architect-workflowSkill
The file
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.