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memories-recall-verifylisted

Self-correcting memory recall — when recalled memories are ambiguous or conflicting, re-query for the specific entity (or ask) before answering, and never fabricate when memory is insufficient
mahmoudimus/simba · ★ 4 · AI & Automation · score 80
Install: claude install-skill mahmoudimus/simba
# Self-Correcting Recall Use this when you are about to answer a question whose answer depends on stored memory (preferences, decisions, facts, "what did we decide about X"), and the memories you have are **ambiguous, conflicting, or incomplete**. The goal is to ground the answer in the *right* memory — not the first plausible one — and to admit when memory doesn't contain the answer. ## Step 1 — Recall ```bash simba memory recall "<the user's question, as a statement>" ``` Each line is: `<id> [<TYPE>] (<similarity>) <content>`. ## Step 2 — Detect a problem Inspect the recalled set and decide whether you can answer *directly*. You **cannot** yet if any of these hold: - **Ambiguous reference** — the question names a generic thing ("the API key", "the staging DB", "the meeting") and the memories describe **multiple distinct instances** of it. You must not blend facts across instances. - **Conflicting values** — two memories give different values for the same attribute of the same subject. - **Scope mismatch** — the memories are about a *different* target than the one asked about (right attribute, wrong entity). - **Insufficient** — nothing recalled actually contains the asked-for value. If none hold, answer directly from the recalled memory. ## Step 3 — Re-query (the self-correction) For an ambiguous or scope-mismatched result, run a **narrower** recall naming the specific entity and attribute: ```bash simba memory recall "<specific entity> <attribute>" ```