Claude Skills by mitkox

Comprehensive expertise in integrating AI APIs and SDKs into enterprise development workflows, covering authentication, error handling, performance optimization, and multi-provider strategies.

This skill provides expertise in creating clear, accurate, and educational code examples for AI implementation guides in the FTE+AI project.

Expertise in maintaining complete control over enterprise data in AI systems, ensuring data residency compliance, implementing privacy protections, and achieving regulatory compliance across jurisdictions.

Expertise in creating clear, impactful visualizations for metrics, comparisons, and trends in the FTE+AI documentation.

This skill provides expertise in organizing complex technical documentation with clear hierarchies, logical flow, and intuitive navigation for R&D audiences. It ensures documents are scannable, navigable, and appropriately structured for their purpose and audience.

Expertise in calculating and specifying hardware requirements for local AI deployments, including GPU selection, server configuration, storage, and network planning based on workload characteristics and team size.

Expertise in legal considerations for AI vendor replacement initiatives, covering contract law, intellectual property, data processing agreements, licensing compliance, and vendor exit procedures. This skill provides frameworks and templates but does not constitute legal advice.

Expertise in deploying and configuring self-hosted LLM platforms for enterprise environments, ensuring data sovereignty, performance optimization, and production-grade reliability without external dependencies.

Expertise in designing, implementing, and analyzing metrics frameworks for AI-augmented teams, focusing on productivity measurement, ROI validation, and continuous improvement through data-driven insights.

Expertise in tracking program milestones, deliverables, and dependencies throughout the 30-60-90 day vendor replacement program, ensuring visibility, accountability, and timely completion.

Expertise in navigating open-source licenses for AI models and tools, ensuring commercial compliance, managing license obligations, and mitigating intellectual property risks in enterprise AI deployments.

Expertise in preparing AI-augmented teams and solutions for enterprise production deployment, including scalability, reliability, monitoring, and operational excellence requirements.

Expertise in creating and executing vendor replacement programs using the proven 30-60-90 day framework, including milestone planning, resource allocation, dependency management, and phase gate governance.

Comprehensive expertise in identifying, analyzing, and mitigating risks associated with AI adoption for vendor replacement, covering security, compliance, business, and operational dimensions.

Expertise in identifying, analyzing, engaging, and managing stakeholders throughout the vendor replacement program to ensure alignment, support, and successful outcomes.

This skill ensures clear, concise, and effective technical communication for R&D audiences with varying levels of AI expertise. It establishes standards for writing quality, style consistency, and audience-appropriate content that enables successful AI adoption.

Expertise in negotiating favorable terms with AI vendors, optimizing contracts, managing commercial relationships, and ensuring value alignment throughout the vendor lifecycle.

Specialized expertise in managing the complex process of transitioning from outsourcing vendors to AI-augmented internal teams, including contract management, knowledge transfer, and relationship navigation.