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ai-research-writing

Use when the user wants academic writing prompts, paper polishing workflows, translation/rewrite guidance, reviewer-style paper critique, experiment write-up help, title/caption drafting, or practical AI-assisted research writing support. This skill adapts the prompt library and usage guidance curated in the awesome-ai-research-writing repository into a MedrixFlow-compatible writing workflow.

DeepseekModel キュレーション済みスキル 品質 優秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=citrus-bit-anaxa-skills-public-ai-research-writing-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name ai-research-writing description Use when the user wants academic writing prompts, paper polishing workflows, translation/rewrite guidance, reviewer-style paper critique, experiment write-up help, title/caption drafting, or practical AI-assisted research writing support. This skill adapts the prompt library and usage guidance curated in the awesome-ai-research-writing repository into a MedrixFlow-compatible writing workflow. author Leey21-inspired MedrixFlow adaptation version 1.0.0 AI Research Writing This skill adapts the practical academic-writing prompt collection from the awesome-ai-research-writing repository into a MedrixFlow-compatible workflow. Use it when the user asks for: Chinese-to-English or English-to-Chinese academic translation paper polishing or de-AI-ification logic checking for manuscript sections title or caption drafting reviewer-style critique of a paper draft experiment analysis write-up support research-writing prompt recommendations Scope This is a writing-support skill, not an execution-heavy tool skill. It should help the agent: choose an appropriate writing mode structure the task before editing apply concise academic-writing constraints return polished output plus brief rationale when useful Working Method Identify the writing intent first: translation polishing logic audit reviewer critique title/caption generation experiment analysis Preserve factual meaning. Do not invent claims, citations, results, or novelty. If the user provides draft text, work directly on that text rather than answering abstractly. If the user asks for publication-grade wording, prefer concise, natural, reviewer-resistant academic prose over flashy wording. For full paper/manuscript generation, default to LaTeX source and PDF output. Use exact BibTeX keys from references.bib , call manuscript_export for final delivery, and avoid \nocite{*} unless explicitly requested. If the user is writing in Chinese, you may explain decisions in Chinese, but produce the requested target-language result exactly as asked. Output Modes 1. Translation Keep technical meaning stable. Preserve formulas, symbols, and explicit numeric claims. Escape LaTeX-sensitive characters only when the user wants LaTeX-ready output. 2. Polishing Remove awkward AI-style phrasing. Prefer precise verbs, concrete logical connectors, and shorter sentences. Do not over-intensify novelty claims. 3. Logic Audit Flag missing assumptions, unsupported jumps, repeated points, and vague conclusions. Prefer reviewer-style comments tied to the specific text. 4. Reviewer Critique Evaluate contribution clarity, methodological trust, evidence sufficiency, limitation handling, and writing clarity. Separate major issues from minor issues when helpful. 5. Titles and Captions Optimize for specificity and information density. Avoid hype and vague adjectives. Suggested Response Pattern When editing concrete text, prefer: the revised output a short list of the main fixes if the user would benefit When auditing text, prefer: key issues a revised version or repair strategy References The source repository also contains a broader prompt library and usage notes for research writing. This adaptation is intentionally lightweight so the skill can be loaded by MedrixFlow's native skill loader without requiring external tooling.
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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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