olucens-skills

Knowledge base containing insights from Aravind Srinivas (Perplexity CEO) on building AI-powered search products, competitive strategy against well-funded incumbents, and the future of agentic browsers. Use this skill when users ask about Perplexity's strategy, AI search product development, competing with Google/OpenAI/Anthropic, building answer engines, agentic browser concepts, startup competitive moats, or when analyzing the AI search market landscape. Also use when discussing how to position AI products against incumbents or when exploring the "cognitive operating system" concept for browsers.

Strategic guidance for AI startup founders based on Sam Altman's insights from OpenAI's journey. Use this skill when users ask about starting an AI company, evaluating AI startup ideas, hiring for early-stage AI startups, building products with reasoning models, finding defensibility in AI, or navigating the current AI landscape. Triggers include questions like "Should I start an AI company?", "How do I hire for my AI startup?", "Is my AI startup idea good?", "How do I compete with OpenAI/big tech?", "What should I build with AI?", or "How do I find product-market fit in AI?"

Strategic questioning framework for AI startup founders navigating AGI uncertainty. Use when founders or entrepreneurs need to evaluate AI startup ideas, assess defensibility in a rapidly changing landscape, plan strategy assuming 2-3 year AGI timelines, determine what problems remain hard when AI capabilities expand, or think through hiring/product/go-to-market decisions in the AI era. Triggers include questions like "Should I start this AI company?", "How do I plan for AGI?", "What's defensible in AI?", "How should AI change my startup strategy?", or "What questions should I ask before building an AI product?"

Strategic framework for evaluating and building B2B AI startups based on Aaron Levie's insights from building Box through the cloud transformation. Use when founders or advisors need to - (1) Evaluate AI startup ideas for defensibility and market timing, (2) Design pricing models for AI products (consumption vs seat-based), (3) Analyze competitive positioning against incumbents, (4) Identify high-value AI opportunities in enterprise unstructured data, (5) Assess whether to target "core" vs "context" business functions, (6) Understand the 2024-2027 AI startup window dynamics, or (7) Apply Innovator's Dilemma and Crossing the Chasm frameworks to AI market entry.

Best practices for using Claude Code effectively based on insights from its creator Boris Cherny. Trigger this skill when users ask about optimizing Claude Code usage, configuring CLAUDE.md files, using plan mode, working with sub-agents, understanding Claude Code philosophy, improving coding productivity with Claude Code, or building AI coding tools. Also trigger when users mention blatant demand, scaffolding in AI products, building for future model capabilities, or ask about Anthropic's approach to AI coding assistants.