Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing framework, and Kubernetes containers to host all the application components.
安装
npx skills add google/skills --skill google-cloud-solution-rag-enterprise-search-gke-sqldbnpx skills add google/skills --skill google-cloud-solution-rag-enterprise-search-gke-sqldb -a claude-code -gnpx skills add google/skills --skill google-cloud-solution-rag-enterprise-search-gke-sqldb -a codex -ggemini skills install https://github.com/google/skills.git --path skills/cloud/google-cloud-solution-rag-enterprise-search-gke-sqldbgh skill install google/skills google-cloud-solution-rag-enterprise-search-gke-sqldbgit clone --depth 1 https://github.com/google/skills /tmp/google__skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/google__skills/skills/cloud/google-cloud-solution-rag-enterprise-search-gke-sqldb ~/.claude/skills/google-cloud-solution-rag-enterprise-search-gke-sqldb # Claude Code
cp -R /tmp/google__skills/skills/cloud/google-cloud-solution-rag-enterprise-search-gke-sqldb ~/.agents/skills/google-cloud-solution-rag-enterprise-search-gke-sqldb # Codex, Cursor, Gemini CLI, Copilot, OpenCode