Skill

Author Scientific Manuscripts with Visuals

A skill for writing research manuscripts with IMRAD structure, citation styles, reporting guidelines, and mandatory generated figures.


91
Spark score
out of 100
Updated last month
Version 1.0.0

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Why it matters

Generate high-quality scientific manuscripts, complete with literature reviews, IMRAD structure, and AI-generated figures and graphical abstracts.

Outcomes

What it gets done

01

Write manuscript sections (abstract, intro, methods, results, discussion)

02

Format citations in APA, AMA, Vancouver, and other styles

03

Generate graphical abstracts and additional figures using AI

04

Structure research papers using IMRAD and reporting guidelines

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-scientific-writing | bash

Overview

Scientific Writing

Scientific Writing structures research manuscripts using IMRAD, applies correct citation styles and study-specific reporting guidelines (CONSORT/STROBE/PRISMA), and mandates full-prose paragraphs plus a minimum count of generated figures including a required graphical abstract. Use it when writing or revising any manuscript section for journal submission; bullet-point prose and missing the required graphical abstract/figure minimums are treated as incomplete, not optional.

What it does

Scientific Writing is the core skill for a deep research and writing tool, combining AI-driven deep research with well-formatted written output - every document is backed by literature search and verified citations through a companion research-lookup skill. It enforces one critical principle throughout: always write in full paragraphs with flowing prose, never bullet points, using a two-stage process of first building section outlines with key points via research-lookup, then converting those outlines into complete paragraphs.

Manuscript structure follows IMRAD (Introduction, Methods, Results, And Discussion) for standard research papers, with the Introduction establishing context and gaps, Methods detailing design/population/procedures/analysis for reproducibility, Results presenting findings objectively without interpretation, and Discussion interpreting results, acknowledging limitations, and proposing future directions - alongside support for alternative formats (narrative/systematic/scoping reviews, case reports, meta-analyses, methods papers/protocols).

Section-specific guidance covers abstract composition (100-250 words, structured or unstructured), introduction development (establishing importance, systematic literature review, identifying gaps, stating hypotheses), methods documentation (reproducibility through detailed sample description, statistical justification, ethical approval statements), results presentation (logical flow, statistical significance with effect sizes, figure/table integration), and discussion construction (relating results to questions, comparing with existing literature, honest limitations, practical implications).

Citation management covers five major styles - AMA (numbered superscript, medicine), Vancouver (numbered brackets, biomedical), APA (author-date, social sciences), Chicago (notes-bibliography or author-date), and IEEE (numbered brackets, engineering/CS) - with best practices to cite primary sources, favor recent literature (5-10 years for active fields), balance citation distribution, and verify every citation against its original source.

A mandatory visual requirement runs throughout: every scientific paper must include a graphical abstract (a landscape 1200x600px visual summary of the workflow and key findings, generated first via a generate_schematic.py script) plus additional AI-generated figures via companion scientific-schematics and generate-image skills. Minimum figure counts are specified by document type - 5 for research papers (6-8 recommended), 4 for literature reviews, 20 for market research, 1 per slide for presentations, 6 for posters, 4 for grants, 3 for clinical reports - covering study design flowcharts (CONSORT/PRISMA/STROBE), conceptual diagrams, experimental workflows, data pipelines, and photorealistic or illustrative images, with generated figures automatically checked for accessibility (colorblind-friendly, high contrast).

It also applies study-specific reporting guidelines - CONSORT for randomized trials, STROBE for observational studies, PRISMA for systematic reviews - and covers figures-vs-tables decisions (tables for precise numerical/complex datasets, figures for trends and relationships).

When to use - and when NOT to

Use this skill when writing or revising any section of a scientific manuscript, structuring a paper with IMRAD or another standard format, formatting citations in a specific style, creating or improving figures and tables, applying a study-specific reporting guideline, drafting an abstract for journal submission, or addressing reviewer comments.

Do not use it to submit a manuscript with bullet-point prose or without the mandatory graphical abstract and minimum figure count for the document type - both are treated as non-optional requirements, not stylistic suggestions.

Inputs and outputs

Input: research content, data, and findings to be structured into a manuscript, plus the target citation style and reporting guideline.

Output: a full-prose manuscript with generated figures, starting with the graphical abstract:

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

Along with this it produces IMRAD-structured sections, correctly formatted citations, reporting-guideline-compliant methods/results sections, and a minimum-count set of schematic and illustrative figures.

Who it's for

Researchers and academic writers preparing manuscripts for journal submission who need rigorous structure, correct citation formatting, reporting-guideline compliance, and mandatory visual elements rather than a generic writing assistant.

Source README

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.

FAQ

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