Scientific Writing

Overview

This is the core skill for the deep research and writing tool—combining AI-driven deep research with well-formatted written outputs. Every document produced is backed by comprehensive literature search and verified citations through the research-lookup skill.

Scientific writing is a process for communicating research with precision and clarity. Write manuscripts using IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, and reporting guidelines (CONSORT/STROBE/PRISMA). Apply this skill for research papers and journal submissions.

Critical Principle: Always write in full paragraphs with flowing prose. Never submit bullet points in the final manuscript. Use a two-stage process: first create section outlines with key points using research-lookup, then convert those outlines into complete paragraphs.

When to Use This Skill

This skill should be used when:

• Writing or revising any section of a scientific manuscript (abstract, introduction, methods, results, discussion)
• Structuring a research paper using IMRAD or other standard formats
• Formatting citations and references in specific styles (APA, AMA, Vancouver, Chicago, IEEE)
• Creating, formatting, or improving figures, tables, and data visualizations
• Applying study-specific reporting guidelines (CONSORT for trials, STROBE for observational studies, PRISMA for reviews)
• Drafting abstracts that meet journal requirements (structured or unstructured)
• Preparing manuscripts for submission to specific journals
• Improving writing clarity, conciseness, and precision
• Ensuring proper use of field-specific terminology and nomenclature
• Addressing reviewer comments and revising manuscripts

Visual Enhancement with Scientific Schematics

⚠️ MANDATORY: Every scientific paper MUST include a graphical abstract plus 1-2 additional AI-generated figures using the scientific-schematics skill.

This is not optional. Scientific papers without visual elements are incomplete. Before finalizing any document:

1. ALWAYS generate a graphical abstract as the first visual element
2. Generate at minimum ONE additional schematic or diagram using scientific-schematics
3. Prefer 3-4 total figures for comprehensive papers (graphical abstract + methods flowchart + results visualization + conceptual diagram)

Graphical Abstract (REQUIRED)

Every scientific writeup MUST include a graphical abstract. This is a visual summary of your paper that:

• Appears before or immediately after the text abstract
• Captures the entire paper's key message in one image
• Is suitable for journal table of contents display
• Uses landscape orientation (typically 1200x600px)

Generate the graphical abstract FIRST:

python scripts/generate_schematic.py "Graphical abstract for [paper title]: [brief description showing workflow from input → methods → key findings → conclusions]" -o figures/graphical_abstract.png

Graphical Abstract Requirements:

• Content: Visual summary showing workflow, key methods, main findings, and conclusions
• Style: Clean, professional, suitable for journal TOC
• Elements: Include 3-5 key steps/concepts with connecting arrows or flow
• Text: Minimal labels, large readable fonts
• Log: [HH:MM:SS] GENERATED: Graphical abstract for paper summary

Additional Figures (GENERATE EXTENSIVELY)

⚠️ CRITICAL: Use BOTH scientific-schematics AND generate-image EXTENSIVELY throughout all documents.

Every document should be richly illustrated. Generate figures liberally - when in doubt, add a visual.

MINIMUM Figure Requirements:

Use scientific-schematics EXTENSIVELY for technical diagrams:

python scripts/generate_schematic.py "your diagram description" -o figures/output.png

• Study design and methodology flowcharts (CONSORT, PRISMA, STROBE)
• Conceptual framework diagrams
• Experimental workflow illustrations
• Data analysis pipeline diagrams
• Biological pathway or mechanism diagrams
• System architecture visualizations
• Neural network architectures
• Decision trees, algorithm flowcharts
• Comparison matrices, timeline diagrams
• Any technical concept that benefits from schematic visualization

Use generate-image EXTENSIVELY for visual content:

python scripts/generate_image.py "your image description" -o figures/output.png

• Photorealistic illustrations of concepts
• Medical/anatomical illustrations
• Environmental/ecological scenes
• Equipment and lab setup visualizations
• Artistic visualizations, infographics
• Cover images, header graphics
• Product mockups, prototype visualizations
• Any visual that enhances understanding or engagement

The AI will automatically:

• Create publication-quality images with proper formatting
• Review and refine through multiple iterations
• Ensure accessibility (colorblind-friendly, high contrast)
• Save outputs in the figures/ directory

When in Doubt, Generate a Figure:

• Complex concept → generate a schematic
• Data discussion → generate a visualization
• Process description → generate a flowchart
• Comparison → generate a comparison diagram
• Reader benefit → generate a visual

For detailed guidance, refer to the scientific-schematics and generate-image skill documentation.

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Core Capabilities

1. Manuscript Structure and Organization

IMRAD Format: Guide papers through the standard Introduction, Methods, Results, And Discussion structure used across most scientific disciplines. This includes:

• Introduction: Establish research context, identify gaps, state objectives
• Methods: Detail study design, populations, procedures, and analysis approaches
• Results: Present findings objectively without interpretation
• Discussion: Interpret results, acknowledge limitations, propose future directions

For detailed guidance on IMRAD structure, refer to references/imrad_structure.md.

Alternative Structures: Support discipline-specific formats including:

• Review articles (narrative, systematic, scoping)
• Case reports and case series
• Meta-analyses and pooled analyses
• Theoretical/modeling papers
• Methods papers and protocols

2. Section-Specific Writing Guidance

Abstract Composition: Craft concise, standalone summaries (100-250 words) that capture the paper's purpose, methods, results, and conclusions. Support both structured abstracts (with labeled sections) and unstructured single-paragraph formats.

Introduction Development: Build compelling introductions that:

• Establish the research problem's importance
• Review relevant literature systematically
• Identify knowledge gaps or controversies
• State clear research questions or hypotheses
• Explain the study's novelty and significance

Methods Documentation: Ensure reproducibility through:

• Detailed participant/sample descriptions
• Clear procedural documentation
• Statistical methods with justification
• Equipment and materials specifications
• Ethical approval and consent statements

Results Presentation: Present findings with:

• Logical flow from primary to secondary outcomes
• Integration with figures and tables
• Statistical significance with effect sizes
• Objective reporting without interpretation

Discussion Construction: Synthesize findings by:

• Relating results to research questions
• Comparing with existing literature
• Acknowledging limitations honestly
• Proposing mechanistic explanations
• Suggesting practical implications and future research

3. Citation and Reference Management

Apply citation styles correctly across disciplines. For comprehensive style guides, refer to references/citation_styles.md.

Major Citation Styles:

• AMA (American Medical Association): Numbered superscript citations, common in medicine
• Vancouver: Numbered citations in square brackets, biomedical standard
• APA (American Psychological Association): Author-date in-text citations, common in social sciences
• Chicago: Notes-bibliography or author-date, humanities and sciences
• IEEE: Numbered square brackets, engineering and computer science

Best Practices:

• Cite primary sources when possible
• Include recent literature (last 5-10 years for active fields)
• Balance citation distribution across introduction and discussion
• Verify all citations against original sources
• Use reference management software (Zotero, Mendeley, EndNote)

4. Figures and Tables

Create effective data visualizations that enhance comprehension. For detailed best practices, refer to references/figures_tables.md.

When to Use Tables vs. Figures:

• Tables: Precise numerical data, complex datasets, multiple variables requiring exact values
• Figures: Trends, patterns, relationships, comparisons best understood visually

Design Principles:

• Make each table/figure self-explanatory with complete captions
• Use consistent formatting and terminology across all display items
• Label all axes, columns, and rows with units
• Include sample sizes (n) and statistical annotations
• Follow the "one table/figure per 1000 words" guideline
• Avoid duplicating information between text, tables, and figures

Common Figure Types:

• Bar graphs: Comparing discrete categories
• Line graphs: Showing trends over time
• Scatterplots: Displaying correlations
• Box plots: Showing distributions and outliers
• Heatmaps: Visualizing matrices and patterns

5. Reporting Guidelines by Study Type

Ensure completeness and transparency by following established reporting standards. For comprehensive guideline details, refer to references/reporting_guidelines.md.

Key Guidelines:

• CONSORT: Randomized controlled trials
• STROBE: Observational studies (cohort, case-control, cross-sectional)
• PRISMA: Systematic reviews and meta-analyses
• STARD: Diagnostic accuracy studies
• TRIPOD: Prediction model studies
• ARRIVE: Animal research
• CARE: Case reports
• SQUIRE: Quality improvement studies
• SPIRIT: Study protocols for clinical trials
• CHEERS: Economic evaluations

Each guideline provides checklists ensuring all critical methodological elements are reported.

6. Writing Principles and Style

Apply fundamental scientific writing principles. For detailed guidance, refer to references/writing_principles.md.

Clarity:

• Use precise, unambiguous language
• Define technical terms and abbreviations at first use
• Maintain logical flow within and between paragraphs
• Use active voice when appropriate for clarity

Conciseness:

• Eliminate redundant words and phrases
• Favor shorter sentences (15-20 words average)
• Remove unnecessary qualifiers
• Respect word limits strictly

Accuracy:

• Report exact values with appropriate precision
• Use consistent terminology throughout
• Distinguish between observations and interpretations
• Acknowledge uncertainty appropriately

Objectivity:

• Present results without bias
• Avoid overstating findings or implications
• Acknowledge conflicting evidence
• Maintain professional, neutral tone

7. Writing Process: From Outline to Full Paragraphs

CRITICAL: Always write in full paragraphs, never submit bullet points in scientific papers.

Scientific papers must be written in complete, flowing prose. Use this two-stage approach for effective writing:

Stage 1: Create Section Outlines with Key Points

When starting a new section:

1. Use the research-lookup skill to gather relevant literature and data
2. Create a structured outline with bullet points marking:
   • Main arguments or findings to present
   • Key studies to cite
   • Data points and statistics to include
   • Logical flow and organization
3. These bullet points serve as scaffolding—they are NOT the final manuscript

Example outline (Introduction section):

- Background: AI in drug discovery gaining traction
  * Cite recent reviews (Smith 2023, Jones 2024)
  * Traditional methods are slow and expensive
- Gap: Limited application to rare diseases
  * Only 2 prior studies (Lee 2022, Chen 2023)
  * Small datasets remain a challenge
- Our approach: Transfer learning from common diseases
  * Novel architecture combining X and Y
- Study objectives: Validate on 3 rare disease datasets

Stage 2: Convert Key Points to Full Paragraphs

Once the outline is complete, expand each bullet point into proper prose:

1. Transform bullet points into complete sentences with subjects, verbs, and objects
2. Add transitions between sentences and ideas (however, moreover, in contrast, subsequently)
3. Integrate citations naturally within sentences, not as lists
4. Expand with context and explanation that bullet points omit
5. Ensure logical flow from one sentence to the next within each paragraph
6. Vary sentence structure to maintain reader engagement

Example conversion to prose:

Artificial intelligence approaches have gained significant traction in drug discovery 
pipelines over the past decade (Smith, 2023; Jones, 2024). While these computational 
methods show promise for accelerating the identification of therapeutic candidates, 
traditional experimental approaches remain slow and resource-intensive, often requiring 
years of laboratory work and substantial financial investment. However, the application 
of AI to rare diseases has been limited, with only two prior studies demonstrating 
proof-of-concept results (Lee, 2022; Chen, 2023). The primary obstacle has been the 
scarcity of training data for conditions affecting small patient populations. 

To address this challenge, we developed a transfer learning approach that leverages 
knowledge from well-characterized common diseases to predict therapeutic targets for 
rare conditions. Our novel neural architecture combines convolutional layers for 
molecular feature extraction with attention mechanisms for protein-ligand interaction 
modeling. The objective of this study was to validate our approach across three 
independent rare disease datasets, assessing both predictive accuracy and biological 
interpretability of the results.

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