Google frames agent prompts as build artifacts

Google's modular prompt transpilation pattern turns large agent prompts into reusable skill files that can be assembled and validated before runtime. Why it matters: Agent reliability improves when prompts are treated like governed software assets: versioned, linted, reviewed, and rebuilt through repeatable tooling instead of pasted into a single monolithic instruction block.

Try this: For one agent workflow, split system instructions into small prompt modules, add a check for required variables, and save the generated runtime prompt as a reviewed artifact.