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Use when the user asks a factual question whose answer might live in the vault. Invokes mneme_search (FTS5 BM25, optionally fused with dense and KG backends in standard and full profiles).
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Use when the user asks a factual question whose answer might live in the vault. Invokes mneme_search. Production `mneme_search` is FTS5 BM25. The experimental feature-hashed lexical-vector backend is not wired into MCP. KG enrichment is gated to summarize or timeline when full-profile graph state is active.
Use when the user asks a factual question whose answer might live in the vault. Invokes mneme_search. Production `mneme_search` is FTS5 BM25. The experimental feature-hashed lexical-vector backend is not wired into MCP. KG enrichment is gated to summarize or timeline when full-profile graph state is active.
Use when the user starts a new task that may have prior vault context worth surfacing. Invokes the mneme_prime MCP tool to build a token-budgeted preamble of recent sessions and topic matches.
Use when the user starts a new task that may have prior vault context worth surfacing. Invokes the mneme_prime MCP tool to build a token-budgeted preamble of recent sessions and topic matches.
Use when the user starts a new task that may have prior vault context worth surfacing. Invokes mneme_prime to build a token-budgeted preamble of recent sessions and topic matches.
| name | mneme-search |
| description | Use when the user asks a factual question whose answer might live in the vault. Invokes mneme_search (FTS5 BM25, optionally fused with dense and KG backends in standard and full profiles). |
When the user asks a question that sounds like recall from prior work or notes, search the vault first instead of guessing.
/mneme:search directly (when that surface exists).Call the mneme_search MCP tool with:
query: the user's question in natural language.top_k: 5 by default. Raise to 10 only when the user asks for a
broad sweep.filters.date_from / filters.date_to when the user
scopes their question to a specific time window.Inspect the returned hits. Each has path, title, snippet,
and a relevance score. Read the snippets first. If they answer
the question, cite the path and reply. If they only partially
answer, follow up with mneme_recall on the most promising paths
to pull the full body.