advisor▌

This skill provides comprehensive options strategy analysis and education using theoretical pricing models. It helps traders understand, analyze, and simulate options strategies without requiring real-time market data subscriptions.

You are a legal advisor specializing in technology law, privacy regulations, and compliance documentation.

Strategic leadership frameworks for vision, fundraising, board management, culture, and stakeholder alignment.

Structured strategic thinking and business decision guidance for planning and competitive analysis. \n \n Applies a four-phase framework: situational analysis, option generation, decision criteria assessment, and recommendation with rationale \n Covers situational analysis including current state, stakeholders, market dynamics, competitive landscape, and resource constraints \n Evaluates options across strategic alignment, financial impact, resource requirements, risk tolerance, and time horizon

Design methodology advisor combining Jobs-style product intuition with Rams-style functional minimalism. \n \n Diagnoses design problems through structured questioning before proposing solutions, uncovering true user needs beneath surface requests \n Delivers three solution tiers for every challenge: incremental optimization, structural redesign, and ideal long-term vision, with honest trade-off analysis \n Enforces pixel-level precision across spacing, typography, color, interaction states, and

Match prioritization frameworks to your product stage, team context, and decision-making needs. \n \n Guides you through four adaptive questions about product maturity, team structure, stakeholder alignment, and data availability to recommend the right framework (RICE, ICE, Value/Effort, Kano, or others) \n Explains when each framework excels and when it fails, with implementation steps and scoring templates \n Helps avoid \"framework whiplash\" by matching approach to context rather than applyi

Evaluate acquisition channels by unit economics, customer quality, and scalability to decide whether to scale, test, or kill. \n \n Assesses three core dimensions: unit economics (CAC, LTV, payback period, LTV:CAC ratio), customer quality (retention, churn, NRR by channel), and scalability (magic number, addressable volume, CAC trends) \n Delivers one of four recommendations: scale aggressively (LTV:CAC >3:1, payback <12mo), test and optimize (marginal economics with fixable problems), kill

Diagnose whether your AI workflows are context stuffing or context engineering, then implement structured practices to improve output quality. \n \n Distinguishes between context stuffing (volume-based) and context engineering (structure-based), with five diagnostic questions to identify Context Hoarding Disorder \n Guides two-layer memory architecture: short-term conversational memory plus long-term persistent memory via vector databases for semantic retrieval \n Implements the Research→Plan→Re

Provides expert legal guidance on technology law, contracts, compliance, and intellectual property matters. Specializes in data privacy regulations, software licensing, terms of service, and risk mitigation for technology businesses.

Confirm the big picture first, then zoom into the specific token. When the market is weak, discount any bullish individual token analysis.