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AndyMelnykov/README.md

Hey, I'm Andy 👋

Product & Technology executive building AI-native products, agents, workflow automation, and operating systems.

Here I share practical patterns and tools from that experience, particularly around context management, agentic products, product leadership, and how product teams can work effectively with AI.

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  1. product-intelligence-agent product-intelligence-agent Public

    AI-powered customer intelligence pipeline: feedback extraction, topic matching, trend detection, and LLM evaluations.

    Python 2

  2. TeamOSTemplate TeamOSTemplate Public template

    AI-native Product OS connecting customer evidence, product specifications, engineering, metrics, and decisions.

    Python 2

  3. obsidian-claude obsidian-claude Public

    Local-first AI knowledge system with agent skills, source-grounded retrieval, and evaluation experiments.

    JavaScript 2

  4. product_leadership_skills product_leadership_skills Public

    Reusable AI agent skills for product discovery, strategy, execution, and leadership, with evaluation cases.

    1

  5. pm-loops pm-loops Public

    Automated PM workflows with independent maker/checker agents, persistent memory, quality gates, and human oversight.

    1

  6. growth-analytics growth-analytics Public

    Experimental AI product analytics platform for behavioral graphs, customer journeys, and evidence-backed growth insights.

    Python 2