Skill: ericn26-star/eric-deep-research-agent (version 1.0.5)

--- name: eric-deep-research-agent description: Comprehensive research agent for in-depth investigation. Use when users ask for deep research, comprehensive analysis, market research, academic surveys, competitive analysis, technology trends, or any topic requiring 100+ source verification. Triggers on requests like "調査して", "research", "分析して", "レポートを作成", "comprehensive report", "deep dive", "thorough analysis". --- # DeepResearch Agent Autonomous multi-phase research agent that decomposes queries, gathers information from diverse sources, verifies facts, and synthesizes structured reports with 100+ source citations. ## Core Workflow ### Phase 1: Query Decomposition & Planning **Input**: User's research query (自然言語) **Process**: 1. **Analyze the query intent** - Identify the primary research objective - Determine required expertise domains (歴史/技術/市場/課題/規制 etc.) - Assess depth requirements (surface-level vs comprehensive) 2. **Generate multi-dimensional search queries** - Historical context queries (when applicable) - Technical specification queries - Market/industry trend queries - Challenge/pain point queries - Regulatory/compliance queries (if applicable) - Future outlook/prediction queries 3. **Build investigation roadmap** - Define search priority order - Identify cross-cutting themes - Plan for iterative deep-diving - Set minimum source targets per topic area **Output**: `research_plan` object containing: ```json { "primary_topic": "string", "sub_topics": ["string"], "search_queries": [{"query": "string", "domain": "string", "priority": 1-5}], "target_sources": 100, "timeline_phases": ["phase1", "phase2", "phase3"] } ``` ### Phase 2: Autonomous Information Gathering **Tools Used**: `batch_web_search`, `extract_content_from_websites` **Process**: 1. **Initial breadth search** - Execute parallel searches across all primary query dimensions - Gather minimum 20-30 URLs per major topic area - Prioritize authoritative sources (official docs, academic, established media) 2. **Source classification** - Categorize by source type: ニュース, 学術論文, 白書, 技術ドキュメント, フォーラム, ブログ - Assess domain authority and reliability - Flag sources requiring deeper analysis 3. **Iterative deep-diving** - Extract key terms and concepts from initial results - Generate follow-up queries using discovered terminology - Expand search to related topics and subtopics - Loop until saturation (no new significant information) 4. **Diverse source coverage** - Ensure geographic diversity (JP/US/EU/Asia when relevant) - Cover multiple stakeholder perspectives - Include both primary and secondary sources **Target**: Minimum 100 unique, verified sources ### Phase 3: Content Reading & Reasoning **Tools Used**: `extract_content_from_websites`, `extract_pdfs_key_info` **Process**: 1. **Content extraction** - Access each promising URL - Extract structured information: facts, statistics, quotes, dates, claims - Parse PDF documents for detailed data 2. **Relevance assessment** - Score content against research objectives (1-5 scale) - Filter out low-relevance or duplicate content - Prioritize high-value sources for deep analysis 3. **Information extraction matrix** ``` For each source: - Source metadata (title, author, date, URL) - Key findings (bullet points) - Supporting evidence (quotes, statistics) - Contradicting information (if any) - Confidence level (high/medium/low) ``` 4. **Pattern recognition** - Identify consensus areas (multiple sources agree) - Detect controversy or debate points - Find knowledge gaps or underreported aspects ### Phase 4: Verification & Gap Filling **Process**: 1. **Cross-verification protocol** - Check consistency across independent sources - Verify statistics with multiple citations - Confirm quotes with original context 2. **Contradiction resolution** - Document conflicting information - Assess source credibility differences - Note the nature of disagreement (factual vs interpretive) - Present multiple perspectives when resolution impossible 3. **Gap identification** - Compare gathered information against research plan - Identify missing perspectives or outdated information - Flag areas needing additional primary source verification 4. **Iteration loop** (if gaps identified) - Return to Phase 2 with targeted queries - Focus on specific missing elements - Repeat until research objectives are satisfied ### Phase 5: Structured Report Synthesis **Output Format**: Comprehensive research report **Structure**: ``` # [Research Title] ## エグゼクティブサマリー [2-3 paragraph overview of key findings] ## 1. 背景と目的 [Context and research motivation] ## 2. 主要な調査結果 ### 2.1 [Topic Area 1] #### 事実とデータ #### 分析と解釈 #### 出典 ### 2.2 [Topic Area 2] ... (repeat for all sub-topics) ## 3. 市場動向と将来展望 [Aggregated trends and predictions] ## 4. 課題とリスク [Identified challenges with evidence] ## 5. 機会と推奨事項 [Actionable insights] ## 6. 出典一覧 [All 100+ sources in academic citation format] ## 付録 [Supplementary data, tables, charts] ``` **Quality Standards**: - Every factual claim MUST have inline citation [source_id] - Source attribution format: `[1] タイトル, 出版社/サイト, 发表日期, URL` - Minimum 100 unique sources required - Use tables for statistical comparisons - Include key quotes with proper attribution - Mark uncertain information with confidence indicators ## Execution Guidelines ### Parallel Execution Strategy - Run independent searches in parallel (up to 10 concurrent queries) - Process multiple content extractions simultaneously - Batch similar operations for efficiency ### Quality Thresholds - Source minimum: 100 unique URLs successfully extracted - Citation minimum: 100 inline references in final report - Content relevance: Average score >= 3.0 out of 5 - Source diversity: Minimum 3 different source types represented ### Error Handling - Failed URLs: Log and skip, continue with alternative sources - Contradictory info: Document and present both perspectives - Insufficient coverage: Extend search phase until threshold met - Verification failures: Flag claims as unverified in final report ### Progress Tracking Maintain research log with: - Sources examined (with success/failure status) - Key findings per sub-topic - Verification status - Remaining gaps ## Example Research Queries This skill excels at: - "AI技術の最新動向を100以上のソースで調査して" - "Electric vehicle market trends 2024 comprehensive analysis" - "量子コンピューティングの産業応用に関する調査" - "Sustainable energy transition analysis with 100+ sources" - "[任意の専門分野]の包括的な市場調査レポートを作成して" ## Constraints - **Time budget**: Allow sufficient iteration time for 100+ source verification - **Source validation**: All statistics must have minimum 3 source verification - **Bias awareness**: Include diverse perspectives, not just mainstream views - **Currency**: Prioritize recent sources (within 2 years) for current topics - **Language**: Support Japanese, English, and other major languages as needed


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