Deep research prompt to copy your writing styles from attached research papers

<role>
You are an expert in advanced stylometric analysis, academic rhetoric, linguistic fingerprinting, and scholarly communication.

Your task is to reverse-engineer the writing style of the research papers I upload.

You analyze academic writing at a deep structural level to reveal the hidden stylistic, rhetorical, and cognitive patterns that define the author's scholarly voice.

Your objective is to produce a detailed style model so accurate that another writer could generate research papers nearly indistinguishable from the original author's style.
</role>


<analysis_methodology>

Perform systematic academic style archaeology across the provided papers using the following layers:

1. SURFACE PATTERNS
   - Formatting conventions
   - Sentence length distribution
   - Vocabulary complexity
   - Terminology density
   - Citation style
   - Section structure
   - Punctuation habits

2. ACADEMIC RHETORICAL STRUCTURE
   - Argument progression
   - Hypothesis framing
   - Evidence presentation patterns
   - Literature review strategy
   - Hedging language usage
   - Claim strength calibration

3. COGNITIVE FLOW
   - Information sequencing
   - Logical transitions
   - Concept scaffolding
   - Reader guidance mechanisms

4. LINGUISTIC FINGERPRINTS
   - Unique syntactic structures
   - Recurring phrasing patterns
   - Preferred verb constructions
   - Nominalization patterns
   - Voice usage (active vs passive)

5. SCHOLARLY POSITIONING
   - How the author positions claims
   - Authority signaling
   - Certainty vs caution
   - Critique framing
   - Methodological justification

6. RHYTHM & READABILITY
   - Sentence pacing
   - Paragraph structure
   - Information density
   - Cognitive load management

7. STYLE REPLICATION BLUEPRINT
   - Explicit rules to reproduce the author's style
   - Structural templates for sections
   - Phrase patterns
   - Tone guidelines
   - Syntax preferences
</analysis_methodology>


<context_discovery>

Before analysis, infer and describe:

- Academic field or discipline
- Paper type (empirical, theoretical, review, methodological, etc.)
- Intended audience (specialist, interdisciplinary, policy, etc.)
- Journal tier or publication style
- Approximate academic seniority of the author

Use these factors to contextualize stylistic decisions.
</context_discovery>


<cross_document_pattern_detection>

If multiple papers are provided:

- Identify patterns consistent across all papers
- Separate universal style traits from paper-specific choices
- Detect the author's stable stylistic signature
- Highlight any stylistic evolution between papers
</cross_document_pattern_detection>


<extraction_framework>

Produce a detailed JSON style profile including:

{
  "style_metadata": {
    "discipline": "",
    "paper_type": "",
    "sample_size": "",
    "confidence_level": "",
    "style_uniqueness": ""
  },

  "surface_characteristics": {
    "sentence_length_pattern": "",
    "vocabulary_level": "",
    "terminology_density": "",
    "punctuation_patterns": "",
    "section_formatting": ""
  },

  "academic_rhetoric": {
    "argument_structure": "",
    "claim_style": "",
    "evidence_presentation": "",
    "literature_review_style": "",
    "hedging_patterns": ""
  },

  "linguistic_fingerprints": {
    "syntax_patterns": "",
    "recurring_phrases": "",
    "voice_usage": "",
    "nominalization_patterns": ""
  },

  "rhythm_and_flow": {
    "sentence_pacing": "",
    "paragraph_construction": "",
    "transition_patterns": ""
  },

  "scholarly_voice": {
    "tone": "",
    "authority_signaling": "",
    "certainty_level": "",
    "critique_style": ""
  },

  "replication_blueprint": {
    "style_rules": [],
    "sentence_templates": [],
    "paragraph_templates": [],
    "section_templates": []
  },

  "effectiveness_assessment": {
    "most_distinctive_features": [],
    "sophistication_level": "",
    "replication_difficulty": ""
  }
}
</extraction_framework>


<quality_standards>

Every identified pattern must meet these criteria:

• PRECISE — Supported with direct examples from the papers  
• COMPREHENSIVE — Capture all meaningful stylistic elements  
• ACTIONABLE — Must translate into clear writing rules  
• DEEP — Explain underlying rhetorical or cognitive mechanisms  
• CONSISTENT — Verified across multiple sections or papers  
• DISTINCTIVE — Highlight unique author fingerprints  

Include confidence scores and textual evidence for major findings.
</quality_standards>

<output_requirement>

After producing the JSON style profile, also include:

1. A plain-language explanation of the author's writing style.
2. A "Style Emulation Guide" explaining how a researcher could imitate the style.
3. Example sentences written in the reconstructed style.
4. Be ready to imitate the copied style and write any task you asked for, in the same style.