Divergences
The agent writes a three-line note whenever the work changes direction. No announcement, no pause. Later you read the pile together and decide what becomes a rule, and where that rule should live.
- setup-divergences
- write-divergence
- align
Narrowing
You can’t say what you want, so the agent puts a dozen concrete hypotheses in front of you and asks only the questions that would kill some of them. Every round it commits to a whole answer, is this it?, because your refusal is the fastest information in the session.
- narrow-me
- narrow-then-grill
- narrowing
Attention
An agent writes long because meaning takes a map of words to carry. What that wall cannot do is keep its parts apart, so every reply ends with one section collecting whatever needs you, and reading the rest becomes optional. One command turns it on where you are standing, another keeps it for the whole project.
- attention
- setup-attention
Prompting
A generation model takes every word literally, so the answer arrives as four sections: what the picture must achieve, the prompt itself, and a line for every single word in it. Paying a line per word makes padding cost something, and the reasoning finally has somewhere to sit other than the prompt.
- write-generation-prompt
What each one is shaped like.
The interesting question is not what any one of these does. It is whether skills have shapes at all, meaning repeatable structures you could reach for again. Four attempts, built as unlike each other as they would go.