--- name: deep-research-6e59f9c21c47 description: Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings argument-hint: "" allowed-tools: mcp__claude-flow__memory_store mcp__claude-flow__memory_search mcp__claude-flow__memory_search_unified mcp__claude-flow__agentdb_hierarchical-store mcp__claude-flow__agentdb_hierarchical-recall mcp__claude-flow__agentdb_pattern-search mcp__claude-flow__agentdb_pattern-store mcp__claude-flow__neural_predict mcp__claude-flow__hooks_intelligence_pattern-search mcp__claude-flow__hooks_intelligence_pattern-store mcp__claude-flow__task_create mcp__claude-flow__task_list mcp__claude-flow__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 1. **Define research scope** — break the question into 3-7 sub-questions that together answer the main question 2. **Search existing knowledge** — call `mcp__claude-flow__memory_search_unified` and `mcp__claude-flow__agentdb_pattern-search` to check what's already known 3. **Web research** — use `WebSearch` and `WebFetch` to gather external information for each sub-question 4. **Codebase analysis** — use `Bash` (grep/find), `Read` to examine relevant source files 5. **Cross-reference** — compare findings across sources, identify agreements and contradictions 6. **Store findings** — call `mcp__claude-flow__memory_store` with namespace `research` for each key finding 7. **Store patterns** — call `mcp__claude-flow__agentdb_pattern-store` for reusable patterns discovered 8. **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 --- Source attribution: digitalcrest01 Original project: https://github.com/digitalcrest01/ruflow/blob/8f78f238e1775aedf7faa6026b5f20c9aa8cbd12/plugins/ruflo-goals/skills/deep-research/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2024-2026 ruvnet Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: digitalcrest01 Original project: https://github.com/digitalcrest01/ruflow/blob/8f78f238e1775aedf7faa6026b5f20c9aa8cbd12/plugins/ruflo-goals/skills/deep-research/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Education & Research, Marketing Roles: Data Analyst, Marketing Analyst, Researcher Specialties: Specialty not specified Tools: Bash, Read, Webfetch, Websearch, Write, Mcp__Claude Flow__Agentdb_Hierarchical Recall, Mcp__Claude Flow__Agentdb_Hierarchical Store, Mcp__Claude Flow__Agentdb_Pattern Search, Mcp__Claude Flow__Agentdb_Pattern Store, Mcp__Claude Flow__Hooks_Intelligence_Pattern Search, Mcp__Claude Flow__Hooks_Intelligence_Pattern Store, Mcp__Claude Flow__Memory_Search, Mcp__Claude Flow__Memory_Search_Unified, Mcp__Claude Flow__Memory_Store, Mcp__Claude Flow__Neural_Predict, Mcp__Claude Flow__Task_Create, Mcp__Claude Flow__Task_List, Mcp__Claude Flow__Task_Summary Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: ccb24135443c0178772d3b39df9172cba648c897ab9c01efabb585fe1c52b408