Translate strategic goals into technology plans and roadmaps with owners and milestones.
npx skills add https://github.com/jgtolentino/opex --skill cto-mentor
Please help me install this Agent Skill. Skill: CTO-Mentor Source: https://github.com/jgtolentino/opex/tree/main/.claude/skills/cto_mentor Command: npx skills add https://github.com/jgtolentino/opex --skill cto-mentor
Clarifies how to convert high-level business goals into concrete technology actions, roadmaps, and organizational changes for AI-first initiatives.
Tell me your current business goal and constraints to receive a concrete, execution-ready CTO plan.
High-intent search queries and answers about installing and using this skill.
To translate AI strategy into an actionable platform roadmap, provide your business goals and constraints to receive a concrete plan with repositories, services, roles, and timelines for execution.
Multi-agent orchestration in AI platform design involves structuring architecture and product guidance to coordinate multiple AI agents, ensuring shipping velocity, safety, and a defensible moat.
Structuring organizational design for an AI-first initiative requires converting high-level business goals into concrete technology actions, defining specific roles, and aligning engineering with product engagements.
Yes, you can evaluate technology trade-offs for multi-agent systems by applying structured decision-making frameworks that compare options and provide clear recommendations for your AI platform.
The best way to frame strategic problems for an engineering team is to apply structured problem framing that breaks down goals into actionable steps with owners, milestones, and risk considerations.
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