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deep-research

Deep multi-source research synthesis — web, academic, patent, and internal KB cross-referencing

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  • SKILL.md2.3 KB

SKILL.md（原文）

安装前可以查看交给 AI 代理的指令内容。

Deep Research Skill v2.0

Purpose

Conduct thorough multi-source research across web, academic databases, patent systems, and internal Trinity KB, then synthesize findings into actionable intelligence.

Capabilities

  • Multi-source parallel search (Tavily, arXiv, PubMed, Semantic Scholar, Wikipedia, OEIS)
  • Patent landscape analysis
  • Competitive intelligence gathering
  • Academic literature review and citation mapping
  • Internal KB cross-referencing for existing knowledge
  • Executive summary generation with confidence scores

Research Protocol

  1. Scope: Define research question, constraints, and target depth
  2. Search: Fan out to 3+ sources in parallel
  3. Filter: Rank by relevance, recency, and authority
  4. Synthesize: Cross-reference findings, identify patterns and contradictions
  5. Report: Structured output with citations, confidence levels, and knowledge gaps

Agents

  • Researcher (primary): Deep web and academic search
  • Oracle: Internal KB and data intelligence
  • Prophet: Strategic pattern recognition

Tools

  • deep_web_search (Tavily), research_topic
  • patent_search, arxiv_search, pubmed_search, semantic_scholar_search
  • wikipedia_lookup, wolfram_alpha_query
  • search_vault (internal KB)

Quality Gates

  • Minimum 3 independent sources for any factual claim
  • All citations must include URL/DOI
  • Confidence scoring: HIGH (3+ corroborating sources), MEDIUM (2), LOW (1)
  • Research reports must include "Knowledge Gaps" section

Protocol

  1. Assess — Understand the specific requirement and context
  2. Plan — Determine the approach based on the guidance above
  3. Execute — Apply the deep research methodology
  4. Verify — Validate the output against expected standards
  5. Report — Document results and any issues encountered

Integration

This skill is available via:

  • invoke_skill("deep-research") in the agent kernel
  • POST /api/skills/invoke with skillId: "deep-research"
  • Semantic search via GET /api/skills/search?q=deep+research

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