Deep Research
技能 活跃Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings
To thoroughly investigate complex topics by gathering, cross-referencing, and synthesizing information from multiple sources into a structured research report.
功能
- Orchestrates multi-phase deep research campaigns
- Integrates web search, memory retrieval, and codebase analysis
- Synthesizes information into structured research reports
- Supports multiple research depth levels (quick, standard, deep, exhaustive)
- Manages findings in defined memory namespaces
使用场景
- Investigating complex topics requiring cross-referencing of multiple data sources
- Producing detailed research reports with executive summaries, evidence assessment, and open questions
- Gathering information from web, codebase, and stored knowledge bases for a comprehensive understanding
- Automating the process of deep information discovery and synthesis
非目标
- Performing real-time analysis or decision-making based on findings
- Directly executing code or making infrastructure changes
- Providing simple factual lookups; designed for complex, multi-source investigations
Scope
- info:Tool surface sizeThe skill exposes a large number of underlying tools (over 20) for research orchestration, which is consistent with its complex functionality but could potentially lead to invocation ambiguity.
Invocation
- warning:Overlapping near-synonym toolsThe skill utilizes multiple near-synonym tools for memory search (e.g., `memory_search_unified`, `agentdb_pattern-search`, `agentdb_hierarchical-recall`), which could lead to model ambiguity during invocation.
安装
请先添加 Marketplace
/plugin marketplace add ruvnet/ruflo/plugin install ruflo-goals@ruflo质量评分
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