There’s an organizational layer to this that I find really interesting. Turning repeated work into a skill doesn’t just reduce context or improve reliability. It decides which parts of judgment should stop being rediscovered each time and become repeatable infrastructure.
That makes skill design partly a question of what we choose to stabilize. Which behaviors should become consistent enough to reproduce, and which should remain inside the reasoning loop because the context still matters?
Great suggestions here! Agreed with all of these and have discovered (sometimes through painful trial and error) that these steps are the right ones for skills—or just agent instructions in general.
Context rot in long-running agent workflows is rarely a pure context-window limitation; it is an architectural state-management failure. Treating skills as modular, isolated execution boundaries rather than persistent prompt state is essential for preventing reasoning decay in production-scale eval loops.
There’s an organizational layer to this that I find really interesting. Turning repeated work into a skill doesn’t just reduce context or improve reliability. It decides which parts of judgment should stop being rediscovered each time and become repeatable infrastructure.
That makes skill design partly a question of what we choose to stabilize. Which behaviors should become consistent enough to reproduce, and which should remain inside the reasoning loop because the context still matters?
One the leanest pieces out there explaining so nicely. Thankyou for putting it together!! 🙋🏻♀️
Glad it’s helpful!
Great suggestions here! Agreed with all of these and have discovered (sometimes through painful trial and error) that these steps are the right ones for skills—or just agent instructions in general.
Context rot in long-running agent workflows is rarely a pure context-window limitation; it is an architectural state-management failure. Treating skills as modular, isolated execution boundaries rather than persistent prompt state is essential for preventing reasoning decay in production-scale eval loops.