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Found 16 Skills
Use when making architecture decisions, evaluating build-vs-buy, planning tech stack, prioritizing tech debt, writing PRDs, or needing strategic technical leadership
Apply startup execution wisdom to product, strategy, and business decisions. Use for feature prioritization, build-vs-buy decisions, go-to-market planning, pricing, hiring, scope/timeline reality checks, or when evaluating whether an idea has product-market fit potential.
Comprehensive framework for evaluating AI vendors and solutions to avoid costly mistakes. Use this skill when assessing AI vendor proposals, conducting due diligence, evaluating contracts, comparing vendors, or making build-vs-buy decisions. Helps identify red flags, assess pricing models, evaluate technical capabilities, and conduct structured vendor comparisons.
Plan and scope a Minimum Viable Product for a solopreneur. Use when deciding what to build first, what to cut, how to prioritize features, how to define "done" for a first launch, and how to structure the MVP build process. Covers the MVP definition, feature ruthless-cutting framework, build-vs-buy decisions, launch criteria, and post-launch learning loops. Trigger on "plan my MVP", "minimum viable product", "what should I build first", "scope my product", "MVP roadmap", "what features to include", "first version", "launch something".
Business case analysis with ROI, NPV, IRR, payback period, and TCO calculations for investment decisions. Use when building financial justification, cost-benefit analysis, build-vs-buy comparisons, or sensitivity analysis.
Guides Claude from idea to working prototype using frameworks from OpenAI, Figma, and Airbnb. Use when starting new product features, planning MVP scope, making build-vs-buy decisions, or guiding users from concept to shippable prototype. Applies AI-first thinking (Kevin Weil), simplicity forcing functions (Dylan Field), and complete experience design (Brian Chesky).
Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.
Help users evaluate emerging technologies. Use when someone is assessing new tools, making build vs buy decisions, evaluating AI vendors, or deciding on technical architecture.
Build custom AI search monitoring tools for competitive AEO analysis. Covers API access, scraping architecture, legal compliance, and cost estimation.
Help users build and scale internal platforms and technical infrastructure. Use when someone is deciding whether to build vs buy tooling, designing developer platforms, creating shared services, or managing technical debt at scale.
Create a Technology Evaluation Pack (problem framing, options matrix, build vs buy, pilot plan, risk review, decision memo). Use for evaluating new tech, emerging technology, AI tools, vendor selection, and tech stack decisions.
Use when "evaluating technology", "choosing frameworks", "stack comparison", "technology decisions", or asking about "React vs Vue", "PostgreSQL vs MySQL", "AWS vs GCP", "build vs buy"