Prompts rot. Captured failures compound. Most of the AI skills you are building are mostly prompt, which is why most of them will not survive the year.
Not because the prompts are bad. A skill's value is maybe twenty percent instruction and eighty percent scar tissue, and only that second part lasts. The instruction rots the moment the thing it describes moves. Encode how your team deploys and it works until the pipeline changes. Then you are debugging a prompt at 2am, with less to go on than if you had written the script yourself.
So before you build another one, stop asking whether the prompt is good. Ask what the skill is holding onto, and whether that thing sits still.
A skill rots at the speed of what it touches
A skill rots in proportion to how tightly it is coupled to things that move. Generic scaffolding leans on stable ground like a language or a convention, so it ages slowly. Domain logic wired to a codebase that gets refactored every quarter ages fast, no matter how good the prompt is.
