Skill UI

Guides configuration and optimization of Odoo Sales and CRM, covering pipeline stages, quotation templates, pricelists, sales teams, lead assignment, and forecasting to standardize workflows and boost closure rates.

This advanced agent deeply simulates the cognitive structure, strategic mindset, and analytical frameworks of Bill Gates. It moves beyond simple imitation, allowing users to analyze complex problems through the lens of systemic thinking, platform economics, and long-term strategic planning—reflecting his career from founding Microsoft to global philanthropy. Ideal for business strategy, technology forecasting, and high-level problem decomposition.

This router acts as an index and dispatcher for four specialized business and growth skills. It routes requests across the entire B2B lifecycle, covering customer success management (churn risk, expansion), sales engineering (RFP analysis, PoC planning), revenue operations (pipeline forecasting, GTM efficiency), and contract writing. Use this when a growth or revenue request requires determining the correct specialized skill module.

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 provides sophisticated project estimation by adapting to human-only, hybrid, or agent-first development modes. It uses research-backed PERT statistics and confidence bands (P50, P75, P90) to forecast development timelines for tasks, backlogs, and capacity planning. It continuously calibrates estimates based on actual completion data, ensuring accuracy in AI-assisted and hybrid development environments.

CRM-lite workflow for GEO agencies to capture and nurture prospects through lead, qualification, proposal, and won/lost stages while recording audits, notes, and revenue forecasts from a persistent JSON store.

Fetch current conditions and forecasts via wttr.in or Open-Meteo without API keys, supporting both compact terminal output and JSON for scripts.

Aeon is a scikit-learn compatible Python toolkit for time series machine learning, covering classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search with specialized algorithms.

This skill generates auditable market research reports and market sizing scenarios. It ensures every claim is traceable to primary sources, separating facts from estimates. Suitable for defining markets, analyzing competitive landscapes, and creating forecast models with sensitivity analysis. It supports Python-based workflows and LaTeX templates for professional documentation.

Utilize Google's TimesFM foundation model for zero-shot univariate time series forecasting without training custom models. Supports sales, sensor, and weather data with point forecasts and prediction intervals. Includes mandatory system checks for RAM and GPU before inference to prevent crashes.

This skill utilizes the Kronos model to perform advanced financial time-series forecasting. It generates quantitative base predictions and then integrates news sentiment analysis to adjust and refine the forecast, making it an essential tool for finance professionals needing actionable market insights.

A comprehensive workflow designed to build deep revenue analytics dashboards using exported Clari data. It calculates key metrics such as forecast accuracy, pipeline coverage ratios, and tracks representative performance changes. Ideal for financial analysts and sales managers needing to assess revenue health and forecast reliability.