Skill UI

This meta-skill is designed for generating comprehensive competitive intelligence briefs for sales, business development, and strategy teams. It monitors signals across various dimensions (pricing, product, leadership, funding, etc.) for specified competitors or targets over a defined time window. It helps track changes against a baseline and provides actionable recommendations, moving beyond simple raw data dumps.

This skill monitors key competitors across various signals (Product, Pricing, Hiring, Partnerships) and translates raw data into structured, actionable intelligence briefs. It assesses the strategic implications of competitor moves relative to your current roadmap, providing high/medium/low priority signals, recommended actions, and a concise strategic summary. Ideal for weekly competitive landscape monitoring and strategic planning.

Transforms complex financial model outputs (P&L, balance sheet figures) into clear, structured, and compelling written narratives. Ideal for preparing board packs, investor updates, or executive management reports by translating mere numbers into actionable stories. The output provides headline insights, detailed driver analysis, variance explanations, and robust forward-looking commentary tailored to specific audiences.

A cinematic, data-rich dashboard for comprehensive multi-platform social media analysis. Designed for creators, this tool features an interactive KPI matrix, hover tooltips, range comparison charts, and a dedicated insights drawer to help users track and visualize performance across various channels.

A comprehensive skill set for senior transportation managers overseeing a large, multi-modal carrier portfolio. It covers the full lifecycle of carrier engagement, including sourcing, compliance checks (FMCSA SAFER), executing complex RFPs, negotiating granular rate components (linehaul, FSC, accessorials), and establishing performance scorecards. Use this skill to optimize logistics costs, mitigate supply chain risks, and ensure consistent service quality across varied freight types.

A comprehensive framework for optimizing inventory levels and planning replenishment in multi-location retail environments. It covers advanced demand forecasting techniques (e.g., Holt-Winters, ML models), calculating safety stock based on variability, estimating promotional uplift, and generating actionable purchase orders while minimizing stockouts and excess inventory. Ideal for professionals managing complex SKU portfolios across various supply chain systems.

This skill performs mean-variance portfolio optimization by solving the linear system Σ · x = μ using the Conjugate Gradient (CG) method. It is significantly faster (40-60x) and numerically robust compared to legacy methods like the Neumann series. It takes a covariance matrix (Σ) and expected return vector (μ) to determine optimal asset weights, providing full provenance tracking for auditability.