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Developer Builds 21-Skill Library to Help AI Agents Write Consistent Engineering Docs

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A developer frustrated by repeatedly recreating technical documentation from scratch built a tool called engineering-docs, a library of 21 structured skills designed for AI coding agents. The library covers the full software development lifecycle, from initial discovery and planning through to postmortems after production incidents. The creator observed that AI coding agents, much like rushed engineers, tend to produce incomplete outputs — omitting details like rollback plans, threat models, or API versioning strategies — because they lack internalized documentation standards. Rather than crafting better prompts each time, the developer encoded established frameworks such as STRIDE threat modeling, EARS requirements syntax, and the Richardson Maturity Model directly into reusable agent skills. The library is organized into five phases mirroring real project progression, aiming to make thorough engineering documentation consistent and automatic across projects.

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