Editors

Arts, Design, Entertainment, Sports, and Media Occupations · Job Skills & Competencies · SOC 27-3041 · 8,021 skills

Occupation context

These O*NET tasks describe the occupation. They provide context for this SOC mapping, but do not mean every listed Skill performs every task.

Read copy or proof to detect and correct errors in spelling, punctuation, and syntax.
Verify facts, dates, and statistics, using standard reference sources.
Read, evaluate and edit manuscripts or other materials submitted for publication, and confer with authors regarding changes in content, style or organization, or publication.

O*NET task statements are shown in their source language (English). Task data excerpted from the O*NET® 29.1 Database (USDOL/ETA) and used under CC BY 4.0.

Representative sources

A bounded sample of popular skills mapped to this occupation, with at most one Skill from each GitHub repository. The complete mapped list follows.

zed-industries/zed

Remove signs of AI-generated writing from text. Use after drafting to make copy sound more natural and human-written. Based on Wikipedia's "Signs of AI writing" guide.

openai/openai-cookbook

Review and edit OpenAI Cookbook notebooks, Markdown, and MDX for technical accuracy, clarity, grammar, consistency, runnable examples, and repository publication requirements. Use for editorial reviews, pre-merge documentation checks, or notebook Markdown-cell sweeps in openai-cookbook.

coreyhaines31/marketingskills

When the user wants to edit, review, or improve existing marketing copy, or refresh outdated content. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' 'copy sweep,' 'tighten this up,' 'this reads awkwardly,' 'clean up this text,' 'too wordy,' 'sharpen the messaging,' 'refresh this content,' 'update this page,' 'this content is outdated,' or 'content audit.' Use this when the user already has copy and wants it improved or refreshed rather than rewritten from scratch. For writing new copy, see copywriting.

Yuan1z0825/nature-skills

Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientific writing. Three modes (compose/revise/hybrid) with a four-layer QA pipeline. Enforces evidence-before-prose, argument-before-sections, and contracts-before-paragraphs.

All mapped skills

Browse the complete catalog mapping by repository popularity or latest source activity.

Skill names and descriptions remain in the language supplied by their source repository.

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zed-industries/zed

Remove signs of AI-generated writing from text. Use after drafting to make copy sound more natural and human-written. Based on Wikipedia's "Signs of AI writing" guide.

openai/openai-cookbook

Review and edit OpenAI Cookbook notebooks, Markdown, and MDX for technical accuracy, clarity, grammar, consistency, runnable examples, and repository publication requirements. Use for editorial reviews, pre-merge documentation checks, or notebook Markdown-cell sweeps in openai-cookbook.

coreyhaines31/marketingskills

When the user wants to edit, review, or improve existing marketing copy, or refresh outdated content. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' 'copy sweep,' 'tighten this up,' 'this reads awkwardly,' 'clean up this text,' 'too wordy,' 'sharpen the messaging,' 'refresh this content,' 'update this page,' 'this content is outdated,' or 'content audit.' Use this when the user already has copy and wants it improved or refreshed rather than rewritten from scratch. For writing new copy, see copywriting.

Yuan1z0825/nature-skills

Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientific writing. Three modes (compose/revise/hybrid) with a four-layer QA pipeline. Enforces evidence-before-prose, argument-before-sections, and contracts-before-paragraphs.

nature-response

Yuan1z0825/nature-skills

Draft, audit, or revise Nature-style revision correspondence packages: point-by-point reviewer-separated response letters, rebuttal letters, revision cover letters, LaTeX cover/response templates, and red-marked revised-manuscript excerpts. Keep mutually blind reviewers isolated so no reviewer-facing response reveals another reviewer's comments, numbering, recommendation, or author response. Use for reviewer comments, editor decision letters, pasted editorial emails, response drafts, cover letters, response to reviewers, rebuttal, 修回信, 返修邮件, 编辑邮件, 返修 cover letter, 审稿意见回复, 逐点回复, 大修回复, 小修回复, 回复审稿人, 修改稿回复, 写rebuttal, 回应审稿意见, 标红修改, or LaTeX 模板.

nature-reviewer

Yuan1z0825/nature-skills

Simulate Nature-style or general pre-submission peer review from the referee perspective, not an author rebuttal. Use for reviewer reports, mock peer review, manuscript critique, novelty/significance/technical-soundness assessment, 审稿人视角评估, 模拟审稿, 预审, 投稿前自审, 审稿意见模拟, or 帮我审一下论文. Produce evidence-grounded Major Concerns, Minor Comments, and blocking flags. For multiple reviewers, keep every reviewer mutually blind in a separate context, freeze all reports before comparison, and create any synthesis only afterward as a separate editor/author-facing artifact.

citation-management

K-Dense-AI/scientific-agent-skills

Comprehensive citation management for academic research. Search OpenAlex, PubMed, and Google Scholar for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.

venue-templates

K-Dense-AI/scientific-agent-skills

Prepare journal manuscripts, conference papers, research posters, and grant documents using venue-specific formatting guidance and bundled LaTeX scaffolds. Use when selecting an official template, checking current page or anonymity rules, adapting academic writing to a venue, or inspecting a submission PDF.

citation-management

davila7/claude-code-templates

Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.

venue-templates

davila7/claude-code-templates

Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.

check-docs-style

Check modified Nx documentation pages against the astro-docs style guide. Auto-trigger after writing or editing docs content in the nx repo. Also trigger on "check style", "style guide", "docs review", "validate docs". Should run as a final step whenever docs files are modified. IMPORTANT: anytime astro-docs/**/*.mdoc files are modified, this should always run automatically without being asked.

garrytan/gbrain

Systematic claim-by-claim verification for any content before it ships. Modeled on professional fact-checking desks (The New Yorker, ProPublica, IFCN standards): extract every verifiable claim, check each against live citable sources (never training data), assign a 6-level confidence status, apply corrections, and produce a scored pass/fail report. Includes a data-derived-claims gate for outputs produced FROM the brain or a database: PRODUCER ≠ VERIFIER (re-derive each claim via a different query path) and AFFILIATION ≠ AUTHORSHIP (person→thing claims resolve through typed edges), with delivery hard-blocked on unsupported claims.