Agent skill · writing content · k-dense-ai
scientific-writing
Draft, revise, and audit scientific manuscripts or reports with explicit evidence provenance, reporting-guideline coverage, authorship accountability, confidentiality controls, and local consistency checks. Use for manuscript sections, references, declarations, tables, figures, or submission preparation when scientific accuracy and traceability matter.
Why this skill is useful
Provides domain-specific guidelines for drafting and auditing scientific manuscripts, ensuring accuracy and traceability that the AI wouldn't reliably generate on its own.
What it needs
About 7k tokens when loaded. Last updated 2026-08-03. 32,849 stars on the source repository.
What this skill does
Scientific Writing Purpose Produce clear scientific prose without inventing evidence or concealing uncertainty. Keep drafting, evidence verification, and submission approval as separate stages. The accountable human authors control scientific decisions and final approval. AI is not an author, and generated fluency is never evidence [SW-S01, SW-S03]. Non-negotiable safety rules Confidentiality Do not send unpublished manuscripts, peer-review or editorial material, sensitive or restricted data, PHI or other personal data, proprietary content, or source documents to an external service without: 1. explicit authorization from a person or body empowered to grant it; and 2. a documented review of journal, institutional, funder, consent, ethics, contractual, legal, and data-use policy. When authorization or policy is unclear, keep processing local and use only the minimum metadata needed. De-identification requires expert review; removing obvious names is not sufficient. See references/authorshipaiconfidentiality.md. No fabrication Never invent or complete: citations, references, DOI, PMID, PMCID, ISBN, URLs, or quotations; results, data values, denominators, sample sizes, units, effect estimates, uncertainty, statistical tests, or significance claims; methods, materials, protocol details, software versions, analysis choices, or deviations; registrations, approvals, consent, ethics statements, participant details, or dates; authors, author order, CRediT roles, acknowledgments, or permissions; funding, sponsor roles, conflicts, data or code availability, or AI disclosures. Use an explicit missing, unverified, or not-applicable state. Do not substitute plausible boilerplate. Evidence binding Every factual or numeric manuscript claim must map to verified evidence IDs. A human verifier must open the source, confirm the proposition and locator, verify bibliographic metadata, and record who verified it and when. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills k-dense-ai/scientific-writing