I haven’t played around with skills much yet, but this feels like it could be a genuinely useful addition. A well-scoped Flink skill (similar in spirit to kafka-engineer) could go a long way, especially if it’s grounded in a solid set of minimal, high-quality exemplars, which there's no shortage of out there.
I’d imagine even with just a few for both the DataStream API and Flink SQL would already unlock a lot of value. Start to layer on a few common patterns (e.g., state access, timers, watermarks, joins, windowing, and common SQL transformations, etc.) would help steer responses away from generic streaming advice and toward more Flink-specific best practices. There's enough docs and well-written articles to cover the most common families of issues.
At a minimum, it seems like a fun experiment worth carving a bit of time out for at least to play with and see how it behaves.