Lightweight end-of-session memory review — scan the conversation just had for durable lessons and save them into Ralphy's tiered memory (ralphy memory note, write-and-tell: every save surfaced in chat, "forget <slug>" honored instantly), so the next session starts already knowing. The chat-native analog of hermes-agent's background self-review: signals are user corrections, frustration ("stop doing X", "I told you already"), durable preferences, model/provider facts discovered the hard way, and non-trivial fixes a future session would re-derive. Lighter than /postmortem — no 7-file set, no LLM call; the agent reads its own conversation and writes 0-5 entries. USE WHEN the user types "/memory-review", asks "what should we remember from this", "save the lessons", "update your memory", or a work session is wrapping up after >=1 user correction / re-roll / model swap (fire proactively then). DO NOT FIRE when a full postmortem is warranted (>=2 corrections or >=1 CLI gap — that is /postmortem, which ends with ralphy memory distill); for capturing ONE remark mid-flight (that is invariant #18 — note it immediately, no review pass needed); for dev-mode sessions on the Ralphy repo itself (lessons go to notes/, not memory). See body for the signal list, the do-not-capture list, and HARD INVARIANTS.
$npx -y skills add alecs5am/ralphy --skill memory-reviewInstalls into the current project.
Run `npx skills use "https://github.com/alecs5am/ralphy" --skill "alecs5am/ralphy/memory-review"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/alecs5am/ralphy" that are relevant to the current task. Run `npx skills add "https://github.com/alecs5am/ralphy"` and select the relevant skills, then follow their instructions.