Overview

As engineers scale from single agents to teams of agents across multiple codebases, they face a critical distribution problem - skills, agents, and prompts become scattered, duplicated, and out of sync. The solution is a centralized library system that manages references to private agentic assets, allowing seamless distribution across devices, teams, and agents through a simple YAML-based catalog.

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Key Takeaways

  • Use a reference-based system instead of copying code - store pointers to GitHub repos and local files in a single YAML catalog rather than duplicating assets across projects
  • Think in primitives when building agentic systems - skills provide raw capabilities, agents enable scale and parallelism, and prompts orchestrate the layers below rather than cramming everything into skills
  • Maintain private repositories for specialized work - your competitive advantage lies in private, domain-specific agentics that shouldn’t be publicly available
  • Build meta-skills that generate other agentics - create skills that build skills, prompts that build prompts, and agents that build agents to accelerate development
  • Design for agent-first workflows - pure agentic applications that run entirely through prompts and skills enable agents to manage the entire distribution process autonomously

Topics Covered