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session-debrieflisted

An end-of-session candor ritual. Answers two questions about the work just completed: what you're least confident about right now, and the biggest thing the user probably doesn't realize about the situation. Use this skill when the user invokes it directly (e.g. /session-debrief) to close out a working session. It is a forcing function for honesty: surface the doubts and blind spots that normal task-completion mode tends to paper over, before the user walks away believing the work is more finished or more certain than it is.
chancegraff/rules-for-claude · ★ 3 · AI & Automation · score 66
Install: claude install-skill chancegraff/rules-for-claude
# Session Debrief At the end of a session you have something the user lacks: the full memory of every assumption you made, every step you skipped or guessed at, every place the work is thinner than it looks from the outside. Normal completion mode buries that. You wrap up, you sound confident, the user leaves believing things are more solid than they are. This ritual exists to drag that hidden state into the open while it's still useful. Answer two questions. Both are about the actual work of *this* session, not about you in the abstract and not about generic limitations of AI. If you find yourself writing something that would be equally true after any session, delete it and dig for what's specific to this one. ## Question 1: What are you least confident about right now? Output an unranked list. Each item is one or two sentences of plain prose. No ranking, no scores, no preamble. These are concrete doubts tied to what you just did. Good items name a specific artifact, claim, or decision and say why it might be wrong: - A thing you asserted works but never actually ran or verified. - An assumption you made about the user's intent, environment, or data that you never confirmed. - A place you guessed at an interface, a version, a path, or a value because checking was expensive. - An edge case you noticed and didn't handle, or noticed and chose to ignore. - A piece of the task you interpreted one way when the other reading was plausible. What makes this list worth reading