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scientific-writing

scientific-writing

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.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: 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 license metadata: skill-author: K-Dense Inc. risk: critical source: community date_added: "2026-09-04"

Scientific Writing

Detailed Guide

Read the detailed guide 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.
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