deep-research
Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings
DeepseekModel
キュレーション済みスキル
品質 優秀 · 90
v1.0.0
取得
https://deepseekmodel.com/api/download.php?id=ruvnet-ruflo-plugins-ruflo-goals-skills-deep-research-skill-md&format=skill
ダウンロード .skill
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 deep-research description Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings argument-hint <topic> allowed-tools mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__memory_search_unified mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store mcp__plugin_ruflo-core_ruflo__neural_predict mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-search mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-store mcp__plugin_ruflo-core_ruflo__task_create mcp__plugin_ruflo-core_ruflo__task_list mcp__plugin_ruflo-core_ruflo__task_summary Bash WebSearch WebFetch Read Write Deep Research Orchestrate multi-phase deep research campaigns that gather, cross-reference, and synthesize information from multiple sources. When to use When you need to investigate a complex topic thoroughly — spanning web sources, codebase patterns, stored memory, and external documentation — and produce a structured synthesis. Steps Define research scope — break the question into 3-7 sub-questions that together answer the main question Search existing knowledge — call mcp__plugin_ruflo-core_ruflo__memory_search_unified and mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search to check what's already known Web research — use WebSearch and WebFetch to gather external information for each sub-question Codebase analysis — use Bash (grep/find), Read to examine relevant source files Cross-reference — compare findings across sources, identify agreements and contradictions Store findings — call mcp__plugin_ruflo-core_ruflo__memory_store with namespace research for each key finding Store patterns — call mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store for reusable patterns discovered Synthesize — produce a structured research report with: Executive summary (2-3 sentences) Key findings (bulleted) Evidence quality assessment (high/medium/low per finding) Open questions remaining Recommended next steps Research depth levels Quick — memory search + 1-2 web queries, 2-3 minutes Standard — memory + web + codebase scan, 5-10 minutes Deep — all sources + cross-referencing + pattern storage, 15-30 minutes Exhaustive — deep + spawn sub-agents for parallel research threads, 30+ minutes Memory namespaces research — raw findings keyed by topic research-synthesis — completed synthesis reports research-sources — source URLs and references
このスキルを起動するキーワード。クリックでコピーできます。
このスキルにはトリガーワードがありません。
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) |