AI Skills for Marketing Analyst

Assembles competitor findings into a decision-grade report, guiding strategic recommendations and client positioning.

Enables research on prediction markets for informed corporate decision-making and analysis of market-implied probabilities.

Creates a structured worksheet for non-advisory prediction-market trade planning, focusing on manual execution and risk assessment.

Creates consistent and credible investor-facing materials like pitch decks and financial models for effective fundraising.

Enhances search visibility through comprehensive SEO audits, technical improvements, and strategic content optimization.

Provides expertise in customs documentation, tariff classification, and regulatory compliance for international trade operations.

Provides expertise in demand forecasting and inventory management for multi-location retailers, optimizing stock levels and replenishment planning.

Enables weighted social-graph ranking for warm intro discovery and network analysis across X and LinkedIn, optimizing outreach strategies.

Conducts comprehensive market research and competitive analysis to inform business decisions with actionable insights and source attribution.

Facilitates effective investor outreach by drafting personalized emails and communications for fundraising efforts.

Tracks and reports Claude Code token usage and spending from a local SQLite database, providing insights on costs and budgets.

Facilitates structured decision-making by convening a council of diverse perspectives for ambiguous choices.

Analyzes and optimizes prompts for AI interactions, enhancing clarity and effectiveness without executing tasks.

Facilitates efficient management of Google Workspace assets, enabling users to find, edit, and organize documents, spreadsheets, and presentations seamlessly.

Facilitates evidence-based research workflows for current facts, comparisons, and recommendations using public information and local context.

Helps users find existing skills before creating new ones, ensuring efficient skill development and avoiding duplication.

Automates data collection from public sources, enriches with AI, and stores results in Notion, Sheets, or Supabase.

Helps validate product ideas and direction through diagnostics, user journey audits, and feature prioritization before implementation.

Optimizes social networks by reorganizing connections and providing outreach suggestions tailored to user priorities and preferences.

Facilitates the extraction and distillation of cross-cutting principles from skills into actionable rules for improved governance.