A step-by-step guide to building a local AI-powered knowledge base using Claude Code in about 30 minutes. The approach involves pointing Claude at scattered source documents (design docs, Slack threads, READMEs) and having it generate a structured set of cross-linked Markdown notes organized into Sources, Concepts, and People folders. Four core operations are covered: ingest (adding documents), derive (generating notes), query (asking questions), and refine (improving notes with more compute). The result benefits both human onboarding and AI agents by providing pre-synthesized context, reducing repeated reasoning work. No vector database or deployment is required — just plain Markdown files and two Claude Skills prompts.
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