Skill UI

Automates adapting pretrained models via transfer learning by analyzing requirements, generating PyTorch or TensorFlow fine-tuning code, validating data, tracking KPIs, and saving artifacts so you can quickly reuse existing models for new datasets and tasks.

This comprehensive skill guides users through a systematic, 7-part brand strategy process, mirroring methodologies used by top agencies. It covers defining the core brand truth, architecting target audiences, establishing cultural context, developing messaging, defining visual principles, planning channel strategy, and setting measurement KPIs. Use this framework to build a robust and cohesive brand foundation from scratch.

This comprehensive skill simulates an expert business analyst, specializing in transforming complex raw data into actionable, strategic insights. The scope covers modern Business Intelligence (BI) platforms (Tableau, Power BI), AI-powered predictive modeling, designing robust KPI/OKR frameworks, advanced financial modeling, and optimizing business processes. It is designed for users needing to drive data-driven decision-making and create executive-level reports.

A comprehensive guide and code implementation for setting up observability, metrics, and alerting for Exa search integrations. This skill tracks crucial KPIs such as search latency (P50/P95), error rates, result usage, and cache hit ratios. It is essential for monitoring search quality, debugging performance bottlenecks, and managing API resource usage in production environments.

This skill guides you through designing and implementing production-grade Grafana dashboards for comprehensive system observability. Learn to visualize critical metrics, track key performance indicators (KPIs), monitor infrastructure health (using principles like RED/USE), and build actionable alerts using Prometheus data sources. Ideal for DevOps engineers and Site Reliability Engineers (SREs).

This guide provides comprehensive patterns and best practices for designing high-impact Key Performance Indicator (KPI) dashboards. It covers everything from establishing a KPI framework (Strategic, Tactical, Operational) to defining departmental metrics (Sales, Marketing, Finance) and implementing best-practice layouts for executive summaries and SaaS metrics. Use this skill to translate raw data into actionable business insights.

Automates KPI dashboard template tasks within enterprise workflows by offering guidance, best-practice patterns, production-ready code/configuration, and validation for compliance, governance, and integration scenarios.

Automates KPI definition tasks for data analytics teams, offering best-practice guidance, code templates, and validation to streamline SQL, visualization, and BI workflows.

This comprehensive playbook guides Series A+ B2B SaaS companies on international scaling. It covers the full demand generation lifecycle, from TOFU awareness campaigns using SEO and paid social (LinkedIn, Google, Meta), to MOFU lead nurturing, and BOFU pipeline conversion. It details core KPIs (CAC, MQL/SQL), multi-channel optimization, technical SEO best practices, and strategic partnership building for sustained growth.

This guide defines the role and responsibilities of a Senior Quality Manager Responsible Person (QMR) for highly regulated MedTech and HealthTech environments. It covers essential functions under ISO 13485, including leading management reviews, establishing quality objectives, monitoring performance KPIs, and maintaining strict regulatory compliance oversight. Use this resource when developing a Quality Management System (QMS) or managing regulatory accountability.

This guide provides a comprehensive framework for early-stage companies to track, calculate, and optimize their key performance indicators (KPIs). It covers best practices for various startup business models, guiding teams from the initial seed stage through to Series A funding. Use this skill when developing, analyzing, or refining a structured startup metrics strategy.

A comprehensive, multi-phase checklist designed for the systematic rollout of AI coding assistants (like Windsurf) to development teams or entire enterprises. It covers critical areas including workspace configuration, security hardening (SSO/SAML, secret management), establishing team AI policies, structured developer onboarding, key performance indicator (KPI) monitoring, and emergency rollback procedures.