Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate from other vector databases.
Install
npx skills add aws/agent-toolkit-for-aws --skill storing-and-querying-vectorsnpx skills add aws/agent-toolkit-for-aws --skill storing-and-querying-vectors -a claude-code -gnpx skills add aws/agent-toolkit-for-aws --skill storing-and-querying-vectors -a codex -ggemini skills install https://github.com/aws/agent-toolkit-for-aws.git --path plugins/aws-data-analytics/skills/storing-and-querying-vectorsgh skill install aws/agent-toolkit-for-aws storing-and-querying-vectorsgit clone --depth 1 https://github.com/aws/agent-toolkit-for-aws /tmp/aws__agent-toolkit-for-aws
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/aws__agent-toolkit-for-aws/plugins/aws-data-analytics/skills/storing-and-querying-vectors ~/.claude/skills/storing-and-querying-vectors # Claude Code
cp -R /tmp/aws__agent-toolkit-for-aws/plugins/aws-data-analytics/skills/storing-and-querying-vectors ~/.agents/skills/storing-and-querying-vectors # Codex, Cursor, Gemini CLI, Copilot, OpenCode