agentic-discovery-skill

Map an existing business process by having the agent interview you about actors, sequence, tools, decisions, and pain points before it draws anything. Process Builder converts the confirmed model into an editable draw.io swimlane and can propose quick-win or fuller automation variants for a future-state process. Its zero-dependency Python generator validates the JSON and handles layout; the interview guidance is currently written in Italian.

Ask a product-management question and the skill selects five relevant experts from an index of 302 Lenny’s Podcast guests. It reads their full interview transcripts in parallel, presents each perspective, and synthesizes shared themes, disagreements, and actionable takeaways with citations and timestamps. Local transcript files, Python 3.9 or newer, and Claude Code are required.

ai-pm-workbench helps AI product teams move from opportunity assessment to a product plan with governance in mind. It brings together methods for data strategy, model and architecture choices, RAG and agent design, evaluation, safety, observability, pricing, and compliance, with more than 60 frameworks and 20 deliverables.

Define products that combine physical hardware, firmware, apps, or cloud services without losing the boundaries between disciplines. Electrum guides a product idea through eight reviewed phases, producing system descriptions, component arrangements, gate checklists, diagrams, and presentation files. It works interactively through Claude Code, while the core templates and checklists can also be completed manually; a full guided run is designed to take roughly 60–90 minutes.