Why AI Prompts Are Not a System — and How to Build Skills That Last

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A senior software engineer and tech lead argues that copying and reusing AI prompts is not a reliable system, because the same words can produce inconsistent outputs across different sessions and contexts. Drawing on frameworks from Glowforge CEO Dan Shapiro and AI strategist Nate B. Jones, the author distinguishes between disposable prompts and durable 'skills' — structured instructions with versioning, output contracts, and routing signals. Unlike prompts, skills specify what to produce rather than what to consider, and their improvements persist over time for both human and AI agents. The author reviewed their own order management API project to identify the best candidate for converting a prompt into a reusable skill, settling on a Gherkin scenario quality evaluation methodology that agents had repeatedly re-derived from scratch. The piece frames this shift as foundational infrastructure work, marking the start of a new phase in the author's public learning journey toward advanced AI-assisted engineering.

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