memory-search
SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting
DeepseekModel
キュレーション済みスキル
品質 優秀 · 90
v1.0.0
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https://deepseekmodel.com/api/download.php?id=ruvnet-ruflo-plugins-ruflo-rag-memory-skills-memory-search-skill-md&format=skill
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標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name memory-search description SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting allowed-tools Bash Read mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_list mcp__plugin_ruflo-core_ruflo__memory_retrieve mcp__plugin_ruflo-core_ruflo__memory_search_unified mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize argument-hint <query> [--hybrid] [--graph-rag] [--namespace NAME] Memory Search (SOTA) State-of-the-art semantic search across Ruflo memory with multiple retrieval strategies. Strategy Selection Choose based on query type: Default (dense): fast single-hop semantic match --hybrid : sparse + dense with RRF fusion (20-49% better for keyword+semantic queries) --graph-rag : multi-hop knowledge retrieval (30-60% better for reasoning queries) Steps Parse query and flags — extract search text and strategy flags from arguments Select retrieval strategy : Dense search (default) : npx @claude-flow/cli@latest memory search --query "QUERY" --namespace NAMESPACE -- limit 10 Or via MCP: mcp__plugin_ruflo-core_ruflo__memory_search({ query: "QUERY", namespace: "NAMESPACE", limit: 10 }) Hybrid search (when --hybrid or query has specific keywords): npx ruvector search "QUERY" --hybrid -- limit 10 Graph RAG (when --graph-rag or multi-hop reasoning needed): npx ruvector search "QUERY" --graph-rag -- limit 10 Smart retrieval (when --smart or complex recall needed): npx @claude-flow/cli@latest memory search --query "QUERY" --smart -- limit 10 Or via MCP: mcp__plugin_ruflo-core_ruflo__memory_search({ query: "QUERY", smart: true, limit: 10 }) Applies 5-phase pipeline: query expansion, RRF fusion, recency boost, MMR diversity, session round-robin. Best for: multi-session recall, temporal queries, diverse result sets. Unified cross-namespace : mcp__plugin_ruflo-core_ruflo__memory_search_unified({ query: "QUERY", limit: 10 }) Apply MMR reranking — for diverse results, filter near-duplicates (cosine > 0.92) while maximizing relevance Apply recency weighting — boost recent entries with exponential decay (0.95/day) Synthesize context (for complex queries): mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize({ query: "QUERY", sources: ["patterns", "tasks", "solutions"] }) Present results — ranked by composite score (relevance * diversity * recency), with source namespace attribution Namespace Guide Namespace Best For patterns "How did we handle X?" tasks "What was the context for Y?" solutions "How did we fix Z?" feedback "What did the user prefer?" security "Known vulnerabilities in..." (omit) Search all namespaces
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ダウンロードした .skill に含まれるフィールド。
| フィールド | 説明 |
|---|---|
| format | フォーマット識別子（skill/v1） |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ（配列） |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL（本ページ） |
| exported_at | エクスポート日時（ダウンロード毎） |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定：provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明（Coze / Dify / Claude / カスタム） |
