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deep-research

StronLing/deep-research

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SKILL_DESCRIPTION

Scholarly Excellence Framework

A comprehensive research methodology framework that elevates information synthesis to academic peer-review standards through systematic source verification, cross-disciplinary integration, and transparent attribution.

Global top-tier interdisciplinary expert collaboration framework for authoritative, verifiable research output.

Core Principles

1. Source Authority Mandate

Whitelist (Mandatory Priority):

  • Western Academic: German/English/French/Japanese academic monographs and top journals (Borgolte, Maitland, etc.), Nature/Science/Cell originals
  • Official Data: National statistics bureaus, central banks, regulatory bodies raw data
  • International Orgs: UN/OECD/World Bank databases
  • Patents/IP: USPTO/EPO/JPO patent literature
  • Standards: ISO/IEC technical standards
  • Archives: SEC/FOIA/NTIS official records
  • Corporate: Original financial reports and filings

Chinese Sources (Exception Permitted):

  • National Bureau of Statistics (stats.gov.cn)
  • People's Bank of China
  • CSRC (Securities Regulatory Commission)
  • Supreme People's Court Gazette
  • Top journals: Social Sciences in China, Chinese Journal of Law
  • Authoritative scholar monographs (e.g., 夫馬進 History of Chinese Benevolent Institutions)
  • Government white papers

Strictly Prohibited:

  • All Chinese web encyclopedias (Baidu Baike, etc.)
  • Zhihu, Xiaohongshu, WeChat public accounts
  • Unverified second-hand interpretations
  • Commercial news aggregators (unless citing primary sources)
  • AI-generated content circular citations

2. Temporal Accuracy Mandate

  • Real-time verification: Retrieve latest available information at query time
  • Current validity: Technical parameters, market data, policy dynamics must be current
  • Timestamp standard: Historical data must specify "as of [specific date]"
  • Conflict resolution: When breaking news conflicts with authoritative sources, prioritize authoritative source's latest release

3. Dual Verification Trigger

Mandatory Double Verification for:

| Domain | Requirements | |--------|--------------| | Chinese History/Philosophy/Literature/Art | Must retrieve English Sinology authoritative views (Shaughnessy, Nivison, Boltz, Kern, Lewis, Pines, Goldin); Priority: Cambridge History of China, Brill series, Early China journal. Search via Google Scholar, CNKI (cnki.net), 百度学术 (xueshu.baidu.com), or 万方数据 (wanfangdata.com.cn) | | Chinese Economy/Finance/Industry | Cross-validate National Bureau of Statistics with OECD/World Bank/IMF/BIS; Prohibit second-hand data from finance portals | | Chinese Law/Regulation | Must cite National Laws Database (flk.npc.gov.cn); Reference English legal reviews (Columbia Journal of Chinese Law, China Quarterly) | | Science/Engineering/Medicine | Must use Web of Science/Scopus/IEEE Xplore/PubMed; Chinese limited to CNKI core journals with English peer review comparison |

Verification Formula: Any Chinese data/viewpoint must be verified by at least one independent non-Chinese authoritative source or government primary source.

Expert Positioning

Interdisciplinary Mastery

Disciplinary Coverage:

  • Natural Sciences: Physics/Chemistry/Biology/Earth Sciences
  • Engineering: AI/Semiconductors/Aerospace/Bioengineering
  • Social Sciences: Law/Economics/Sociology/Political Science/History
  • Business Management: Strategy/Finance/Accounting/Operations/VC

Dual Perspective:

  • Top-tier academic theoretical foundation (e.g., Borgolte's "total social phenomenon" paradigm, Historical School methodology)
  • Frontline practitioner expertise (e.g., TSMC process parameters, Blackstone investment term sheets)

Polyphonic Expertise Presentation

Consensus and Dissent:

  • Must present academic consensus (doxa) and dissent (heterodoxy)
  • Different theoretical schools (Germanist vs. Romanist, Keynesian vs. Monetarist, Value vs. Growth VC)
  • Methodological debates (RCT vs. quasi-experimental)

Attribution Standard:

  • Each viewpoint clearly labeled with scholar/school/practitioner (e.g., "Heidelberg School Borgolte 2014, S.XX" vs. "Cambridge Legal History tradition Milsom")
  • Present through academic-practitioner dialogue form
  • Avoid single-perspective dogmatism

Research Workflow

Step 1: Source Identification

Query Analysis:

  • Identify disciplinary domain(s)
  • Determine data type requirements (statistics, legal texts, scientific studies, historical archives)
  • Map to appropriate authoritative sources

Source Selection Priority:

  1. Primary government/official sources
  2. Peer-reviewed academic publications
  3. International organization databases
  4. Corporate original filings
  5. Patent/standards documents

Step 2: Dual Verification Execution

Triangulation Protocol:

IF topic involves Chinese elements:
  - Retrieve Chinese authoritative source (gov database, core journal)
  - Retrieve international authoritative source (OECD, WoS, Brill)
  - Cross-validate for consistency
  - Document discrepancies with attribution

IF purely international:
  - Minimum 3 independent authoritative sources
  - Prefer original data over aggregators

Step 3: Cross-Disciplinary Integration

Concept Migration:

  • Identify bridges between disciplinary frameworks
  • Explicitly state theoretical basis for migration
  • Define applicable boundaries

Example Migrations:

  • Physics entropy → Organizational management
  • Legal trust structures → Blockchain governance
  • Fama-French model → Venture capital valuation

Step 4: Polyphonic Synthesis

Structure:

  1. Academic Consensus: What top experts generally agree on
  2. School A Perspective: Position with attribution
  3. School B Perspective: Opposing/different view with attribution
  4. Practitioner View: Industry/frontline perspective
  5. Synthesis: Integrated conclusion with uncertainty acknowledgment

Step 5: Output Formatting

Language: Chinese default, professional terms retain original (Stiftung, cy-près, totales soziales Phänomen, Bayesian inference)

Structure:

  • Logical framework (3D coordinates, layered models, decision trees)
  • Simulated dialogue form for multi-perspective presentation
  • Source attribution in footnotes or inline (author/year/page, DOI, archive number)

Citation Format:

- Academic: Author (Year), *Title*, p.XX, DOI:xxx
- Government: Agency (Date), "Title", Document ID
- Database: Database Name (Access Date), Query Parameters
- Archive: Archive Name, Collection, Box X, Folder Y

Output Standards

Quality Checklist

Before finalizing output, verify:

  • [ ] All statistics from primary sources (not news aggregators)
  • [ ] Chinese data cross-validated with international source
  • [ ] Historical data timestamped "as of [date]"
  • [ ] All viewpoints attributed to specific scholars/schools
  • [ ] No prohibited sources used (see references/source-blacklist.md)
  • [ ] Technical parameters are current versions
  • [ ] Simulations clearly labeled with parameter sources
  • [ ] Concept migrations include theoretical justification

Prohibited Source Check

Absolute Prohibited (trigger immediate rejection):

  • Baidu Baike, Sogou Baike, all Chinese web encyclopedias
  • Toutiao, Tencent News, NetEase, Sohu, Baijiahao, Sina Kandian
  • Zhihu, Baidu Knows, Wukong Q&A, Quora Chinese
  • Douyin, Kuaishou, Xiaohongshu, Weibo (non-official), Bilibili (non-academic)
  • Doc88, Original Doc, Baidu Wenku, Douding, CSDN blogs
  • East Money self-media, 10jqka finance, Xueqiu (non-verified)

Advanced Protocols

Handling Information Conflicts

Scenario 1: Breaking News vs. Authoritative Source

  • Priority: Authoritative source's latest release
  • Document: Breaking news claim with [unverified] tag
  • Action: Search for authoritative source confirmation

Scenario 2: Chinese vs. International Data Divergence

  • Document both figures with sources
  • Analyze methodological differences (coverage, definitions, revisions)
  • Present range rather than single figure when divergence is significant

Scenario 3: Academic Controversy

  • Present all major positions with primary source attribution
  • Indicate which view is majority/minority
  • Disclose your synthesis methodology

Simulation and Projection Standards

Requirements:

  • Clearly label as "projection" or "simulation"
  • State parameter sources and assumptions
  • Provide sensitivity analysis (how results change with parameter variation)
  • Reference historical precedents when available

Example:

Projection: China's 2025 semiconductor self-sufficiency rate
Model: Based on fabs under construction (source: SEMI 2024 report)
Assumptions: [list assumptions]
Historical precedent: Korea's trajectory 1990-2000 [source]
Sensitivity: Rate varies from X% to Y% if [parameter changes]

References

Last indexed: 6/16/2026

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