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Use this when adding collected source material to a VELA project. Keep material separate from verified evidence.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | vela-material-intake |
| description | Use this when adding collected source material to a VELA project. Keep material separate from verified evidence. |
Use this skill to place source clues, files, URLs, notes, screenshots, DOI records, datasets, or captures into materials/.
Rules:
Do not mark material as verified evidence.
Record source identity, collection context, access time when known, and uncertainty.
If the material may contain private or restricted content, flag it before sharing outside the project.
Suggest the next evidence promotion step rather than silently upgrading the record.
Use when the user asks to reduce AI-like academic prose, lower AIGC-like surface signals, humanize, deslop, remove translationese, or make Chinese or English manuscript text sound more authorial while preserving facts, citations, data, results, and uncertainty.
Use when the user asks to review, critique, summarize, or assess one academic paper, preprint, or research article, especially for referee reports, methodology checks, contribution assessment, top-journal internal review, or social-science-style evidence review.
Use when the user needs top-journal-quality social-science statistical figures and tables: regression tables, descriptive tables, coefficient plots, event-study plots, predicted probabilities, marginal effects, robustness figures, text-analysis summary charts, network metrics charts, publication-ready captions, or figure/table consistency review. Not for conceptual mechanism diagrams or image2-first scientific illustrations; use research-figure-studio for those.
Use when the user asks to draft, rewrite, polish, translate, or final-check academic manuscript text, including title, abstract, introduction, literature review, methods, results, discussion, conclusion, Chinese/English polishing, or journal-style manuscript revision. This skill distinguishes Chinese vs English journal writing and social-science vs technical manuscript conventions before editing.
Use when the user is doing research, literature review, computational social science, writing, or platform-case work and wants Codex to choose the right skills, MCP profile, plugins, and compute target automatically while explaining the route first.
Use when the user intends to create, redesign, polish, audit, or submit social-science research figures, paper figures, scientific illustrations, mechanism diagrams, conceptual frameworks, workflow diagrams, research-design figures, result figures, multi-panel figures, or image2-assisted academic visuals. Automatically use this skill for requests to draw figures for papers, reports, manuscripts, top-journal review, or research presentations.
