---
name: lingxling-scientific-writing
description: "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."
license: "MIT"
metadata:
  decimalai-skill-id: "3e0f7a08-011b-4db5-8c58-1d75977c6ec8"
  decimalai-version-id: "778dd488-94fe-4d5f-8a8e-0f8a59060235"
  decimalai-version: "2"
  decimalai-body-sha256: "8c86a87a9f923aa2f73443643753564eb156a498a87dd2581c49de00b281b6dc"
  decimalai-name: "lingxling/scientific-writing"
  decimalai-format: "1"
  decimalai-invocation: "model"
  decimalai-category: "research"
  decimalai-source: "https://app.decimal.ai/s/lingxling-scientific-writing@2/SKILL.md"
---
# Scientific Writing

## Detailed Guide

Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

## 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

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.