Rate how obviously well a part of the code solves each problem it solves, and name the problems worth researching alternatives for. Changes nothing.
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Measure the problem variability of a part of the project. Nobody will answer you: never ask, decide yourself. The part is what follows the command: a folder, a file, or a feature in words; when nothing follows it, it is the whole project. List every high-level flow the part implements, that is every problem it solves. Rate each problem from 0 to 10 by one criterion: 10 when the code solves it in an obviously optimal way, 0 when it is highly unclear whether it could be solved in a better way. Give the reason for each rating. You change nothing: no file, no commit, no ticket, no queue entry. Your last message is the written result: every problem with its rating and its reason, lowest rating first; then the problems worth a deep-dive into alternative solutions, the low-rated ones, each with what that deep-dive should look at. A person reads it and decides what comes next.
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Where your work goes (a branch named agent-<name>), how to name it, what must be true before you finish, and how to push it when you are asked to.
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A real browser you drive from the shell, to see or act on a web page (open it, read it, click, type, take a screenshot), such as checking that the app you changed works.
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Post a message to the team's Discord channel from the shell, when a task asks you to tell people something there.
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The project's git host is GitHub: how to open your pull request when you are asked to, how to land it, and how to read and close the project's issues.
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The record of every run agents made on this project — what was asked, where the work went, how it ended, what the agent said — where it lives, how to read it, and when to look back before you work.
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Refactor a part of the code to make it as maintainable as possible.
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