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Found 149 Skills
Create an AI Product Strategy Pack (thesis, prioritized use cases, system plan, eval + learning plan, agentic safety plan, roadmap). Use for AI product strategy, LLM/agent strategy, AI roadmap, AI-first product direction.
Help users create technical roadmaps. Use when someone is planning engineering work, prioritizing tech debt, building architecture roadmaps, or aligning technical and product strategy.
Help users prioritize product roadmaps and backlogs. Use when someone is deciding what to build next, sequencing features, allocating resources across projects, handling stakeholder requests, or struggling with too many competing priorities.
Help users make better decisions between competing options. Use when someone is weighing pros and cons, comparing alternatives, struggling with a difficult choice, deciding between speed and quality, or asking "should we do X or Y?"
Turn an engineering strategy into a written Technical Roadmap Pack (Rumelt-style strategy: Diagnosis/Guiding Policy/Coherent Actions, roadmap table, initiative briefs, and alignment cadence). Use for technical roadmap, tech roadmap, engineering roadmap, architecture roadmap.
Test-Driven Development workflow principles. RED-GREEN-REFACTOR cycle.
Guide product managers through creating a customer journey map by asking adaptive questions about the actor (persona), scenario/goal, journey phases, actions/emotions, and opportunities for improvemen
Identify, categorize, and prioritize technical debt. Trigger with "tech debt", "technical debt audit", "what should we refactor", "code health", or when the user asks about code quality, refactoring priorities, or maintenance backlog.
Analyze collections of user feedback to identify patterns and themes. Use when you have user feedback from multiple sources that needs synthesis.
Use when asked to "PMF survey", "measure product-market fit", "40% rule", "Sean Ellis test", "Rahul Vohra method", or "how disappointed would you be". Helps quantify product-market fit and systematically improve it. The PMF Survey framework (created by Sean Ellis, popularized by Rahul Vohra at Superhuman) measures how disappointed users would be without your product and turns that data into a roadmap.
Create an end-to-end user journey map with stages, touchpoints, emotions, pain points, and opportunity areas. Use when mapping the full user experience for a product, feature, or service.
Analyze pipeline health — prioritize deals, flag risks, get a weekly action plan. Use when running a weekly pipeline review, deciding which deals to focus on this week, spotting stale or stuck opportunities, auditing for hygiene issues like bad close dates, or identifying single-threaded deals.