chinese-academic-paper-skill
qinky1234-sys/chinese-academic-paper-skill
An academic assistant specialized in verifiable Chinese literature review workflows, CNKI/Wanfang/VIP data processing, and de-AI Chinese academic writing. It helps researchers build literature matrices, analyze relationships, discover research gaps, and generate fully traceable academic reviews without fabricating citations.
29 6MITUpdated 2026-06-15
86
GreatOverview
The Chinese Academic Paper Assistant skill is designed to streamline the literature review and paper writing process for Chinese academic research. It ingests user-supplied databases, BibTeX, RIS, EndNote, or plain text references, normalizes them into a structured matrix, and assesses source coverage. It supports multiple specialized workflows including a one-click review mode, first-corpus claim mapping, relationship analysis, research-field knowledge map construction, and innovation point discovery complete with closest-paper and methodology notes. The assistant strictly adheres to hard anti-fabrication rules, ensuring that every citation, claim, and source status is traceable to user-supplied or verified public sources.
Capabilities
- ▸Literature intake and parsing for BibTeX, RIS, EndNote, Zotero, and NoteExpress formats
- ▸Literature matrix construction with source status tracking
- ▸Relationship and timeline analysis of research corpora
- ▸First-corpus claim mapping and core assumption grouping
- ▸Research-field knowledge map generation with support pillars and controversy zones
- ▸Research gap and innovation point identification with closest-paper matching
- ▸De-AI Chinese academic text rewriting and review generation
- ▸One-click rapid literature review mode
Best for
Conducting verifiable Chinese literature reviews using imported references or public database searches, Generating literature matrices and macro background maps from user-uploaded corpora, Discovering research gaps, academic tensions, and innovation points with closest-paper mapping, Executing de-AI Chinese academic rewriting to improve readability and naturalness without bypassing ethical boundaries, Recommending appropriate academic journals with verification caveats and formatting literature reviews for bachelor's, master's, or journal publication standards
Works with
Claude CodeCodexChatGPTGemini CLICursorGitHub CopilotOpenCode
Evoa Score breakdown= Σ (score × weight)
86Task usefulness20%100 → +20.0
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%90 → +13.5
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%85 → +12.8
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%64 → +7.7
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%100 → +15.0
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%85 → +8.5
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%41 → +3.3
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%100 → +5.0
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total85.7 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
Ensures academic integrity by refusing to fabricate references, journal rankings, impact factors, or claims. Strictly avoids unauthorized scraping behind paywalls or logins.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.