菜单
Use when drafting, auditing, or improving data availability statements, code availability statements, FAIR metadata, dataset access routes, repository choices, restrictions, identifiers, and result-to-data traceability.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Automatically route natural-language paper research requests to the right module in a complete publication workflow for computer science, engineering, mechanical, and general academic manuscripts. Use for requests about topics, literature, citations, figures, palettes, language polishing, AI-voice cleanup, reviewer simulation, revision, response letters, re-review, and submission gates without requiring the user to name a specific module.
Use when polishing academic manuscript language, especially Chinese-to-English scientific writing, Nature-style or venue-aware prose, section-aware tense, hedging, overclaim control, AI-voice cleanup, article repair, and claim-preserving revision.
Use when running the complete paper publication pipeline from topic intake to literature search, claim-evidence audit, experiment planning, figure contract, language cleanup, five-reviewer panel, revision, re-review, and submission gate. Coordinates the repository's machine-readable pipeline and stage-specific paper skills.
Use when planning, auditing, or generating publication-quality scientific figures, including panel-evidence maps, figure contracts, Nature-style figure logic, SVG export, editable text, semantic palettes, and caption checks.
Use when auditing manuscript claims, citations, references, DOI/BibTeX metadata, citation support strength, unsupported claims, fabricated references, or claim-evidence-boundary maps.
Use after a manuscript draft is complete and before submission when simulating five independent reviewer agents, editorial decision, reviewer scorecards, major/minor revision planning, re-review verification, or pre-submission peer-review risk analysis.
| name | paper-data-availability |
| description | Use when drafting, auditing, or improving data availability statements, code availability statements, FAIR metadata, dataset access routes, repository choices, restrictions, identifiers, and result-to-data traceability. |
Use this skill when a paper needs data/code availability statements or when results must be mapped to accessible evidence.
references/availability-patterns.md.