Queries your HydraDB workspace memory to retrieve and summarize relevant context and stored implementation details.
HydraDB Knowledge Search enables manual interrogation of your workspace's vector store, allowing you to explicitly verify or retrieve specific information that Claude has indexed. By performing bounded retrieval across active backends, it provides a summarized view of the most relevant matches, making the AI's 'memory' transparent and accessible for debugging context or recalling specific project details. The skill is built with security in mind, ensuring that sensitive data and secrets are never printed in plain text during the retrieval process.
주요 기능
01Intelligent follow-up suggestions for unsuccessful queries
02Built-in protection against printing raw secret values
03Automatic summarization of high-confidence search matches
04Manual query execution for explicit knowledge retrieval
05Bounded retrieval from multiple active HydraDB backends
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사용 사례
01Recalling specific architectural decisions stored during previous sessions
02Verifying which project documentation or code snippets are currently indexed
03Debugging context gaps by inspecting what the AI currently knows about the workspace
