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scientific-writing

writingN/AIntermediateClaude
🤖 AI Summary

This skill performs deep literature searches and generates well-formatted, citation-verified documents by integrating the `research-lookup` skill for source validation.

How to Install

This skill comes from a community source.

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:

Document Type Minimum Recommended
Research Papers 5 6-8
Literature Reviews 4 5-7
Market Research 20 25-30
Presentations 1/slide 1-2/slide
Posters 6 8-10
Grants 4 5-7
Clinical Reports 3 4-6

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

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Details

Category Content → writing
Sourcecommunity
SKILL.mdView on GitHub →
Repo StarsN/A
Est. per SkillN/A (shared across 1230 skills from this repo)
DifficultyIntermediate
Risk LevelN/A

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Works Well With

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