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academic-paper学术论文

Agent Skill

academic-paper 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:academic-paper(学术论文)
来源仓库:https://github.com/imbad0202/academic-research-skills
仓库路径:skills/academic-paper
安装命令:
npx skills add https://github.com/imbad0202/academic-research-skills --skill academic-paper
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/imbad0202/academic-research-skills --skill academic-paper

简介

学术论文助手提供跨学科的论文写作支持,覆盖从构思到成稿的全流程。

  • 适合高校师生撰写课程论文、学位论文或科研报告时使用。
  • 内置风格校准与质量检查功能,可优化语言表达并避免常见写作问题。
  • 需上传过往论文样本以适配个人写作风格,确保输出符合学科规范。
  • 使用前请核实是否允许调用外部资源及生成正式学术文档的权限。

SKILL.md

Academic Paper — Academic Paper Writing Agent Team

A general-purpose academic paper writing tool — 12-agent pipeline covering all disciplines, with higher education domain as the default reference.

v2.5 adds two writing quality features:

  • Style Calibration (intake Step 10, optional) — Provide 3+ past papers and the pipeline learns your writing voice (sentence rhythm, vocabulary preferences, citation integration style). Applied as a soft guide during drafting; discipline conventions always take priority. See shared/style_calibration_protocol.md.
  • Writing Quality Check (references/writing_quality_check.md) — A writing quality checklist applied during the draft self-review step. Catches overused AI-typical terms, em dash overuse, throat-clearing openers, uniform paragraph lengths, and monotonous sentence rhythm. These are good writing rules, not detection evasion.

Quick Start

Minimal command:

Write a paper on the impact of AI on higher education quality assurance
Write a paper on the impact of declining birth rates on private university management strategies

Execution flow:

  1. Configuration interview — paper type, discipline, citation format, output format
  2. Literature search — systematic search strategy, source screening
  3. Architecture design — paper structure, outline, word count allocation
  4. Argumentation construction — claim-evidence chains, logical flow
  5. Full-text drafting — section-by-section draft, register adjustment
  6. Citation compliance + bilingual abstract (parallel)
  7. Peer review — five-dimension scoring, revision suggestions
  8. Output formatting — LaTeX/DOCX (via Pandoc)/PDF/Markdown

Trigger Conditions

Trigger Keywords

English: write paper, academic paper, paper outline, write abstract, revise paper, literature review paper, check citations, convert to LaTeX, convert format, format paper, conference paper, journal article, thesis chapter, research paper, guide my paper, help me plan my paper, step by step paper, draft manuscript, write methodology, write discussion, parse reviews, revision roadmap, help me with my revision, I got reviewer comments, convert citations

繁體中文: 寫論文, 學術論文, 論文大綱, 寫摘要, 修改論文, 文獻回顧論文, 檢查引用, 轉 LaTeX, 轉換格式, 研討會論文, 期刊文章, 學位論文, 研究論文, 引導我寫論文, 幫我規劃論文, 逐步寫論文, 寫方法論, 寫討論, 審查意見, 修訂路線圖, 幫我修改, 我收到審查意見, 轉換引用格式

Plan Mode Activation

Activate plan mode when the user wants guidance, step-by-step planning, or expresses uncertainty about paper structure. Default rule: when ambiguous between plan and full, prefer plan.

See references/plan_mode_protocol.md for full intent signals and activation rules.

Does NOT Trigger

ScenarioUse Instead
Deep research / fact-checking (not paper writing)deep-research
Reviewing a paper (structured review)academic-paper-reviewer
Full research-to-paper pipelineacademic-pipeline

Distinction from deep-research

Featureacademic-paperdeep-research
Primary outputPublishable paper draftResearch report
StructureJournal-ready (IMRaD, etc.)APA 7.0 report
CitationMulti-format (APA/Chicago/MLA/IEEE/Vancouver)APA 7.0 only
AbstractBilingual (zh-TW + EN)Single language
Peer reviewSimulated 5-dimension reviewEditorial review
Output formatLaTeX/DOCX (via Pandoc)/PDF/MarkdownMarkdown only
Revision loopMax 2 rounds with targeted feedbackMax 2 rounds

Agent Team (12 Agents)

#AgentRolePhase
1intake_agentConfiguration interview: paper type, discipline, journal, citation format, output format, language, word count; Handoff detection; Plan mode simplified interviewPhase 0
2literature_strategist_agentSearch strategy design, source screening, annotated bibliography, literature matrixPhase 1
3structure_architect_agentPaper structure selection, detailed outline, word count allocation, evidence mappingPhase 2
4argument_builder_agentArgument construction, claim-evidence chains, logical flow, counter-argument handling; Plan mode argument stress testPhase 3 / Plan Step 3
5draft_writer_agentSection-by-section full draft writing, discipline register adjustment, word count trackingPhase 4
6citation_compliance_agentCitation format verification, reference list completeness, DOI checkingPhase 5a
7abstract_bilingual_agentBilingual abstract (zh-TW + EN), 5-7 keywords eachPhase 5b
8peer_reviewer_agentSimulated double-blind review, five-dimension scoring, revision suggestions (max 2 rounds)Phase 6
9formatter_agentConvert to LaTeX/DOCX (via Pandoc)/PDF/Markdown, journal formatting, cover letter, citation format conversion (APA 7 / Chicago / MLA / IEEE / Vancouver)Phase 7
10socratic_mentor_agentPlan mode Socratic mentor: chapter-by-chapter guidance, convergence criteria (4 signals), question taxonomy (4 types), INSIGHT extractionPlan Step 0-3
11visualization_agentParse paper data and generate publication-quality figure code (Python matplotlib / R ggplot2) with APA 7.0 formatting, colorblind-safe palettes, and LaTeX integrationPhase 4 / Phase 7
12revision_coach_agentParse unstructured reviewer comments into structured Revision Roadmap; classify, map, and prioritize comments; works standalone without prior pipeline executionRevision-Coach mode

Output Formats

Text Formats

LaTeX (.tex +.bib), DOCX (via Pandoc), PDF (via LaTeX or Pandoc), Markdown.

Figures

When the paper contains quantitative results, the visualization_agent can generate publication-ready figures in Python (matplotlib/seaborn) or R (ggplot2) with APA 7.0 formatting and colorblind-safe palettes. Figures are delivered as runnable code + LaTeX \includegraphics integration code. See references/statistical_visualization_standards.md for chart type decision trees and code templates.

Citation Formats

APA 7.0 (default), Chicago (Author-Date or Notes-Bibliography), MLA 9, IEEE, Vancouver. The formatter_agent supports late-stage citation format conversion between any two supported formats via "Convert citations to [format]".


Orchestration Workflow (8 Phases)

Phase 0: CONFIG        -> [intake_agent]              -> Paper Configuration Record
Phase 1: RESEARCH      -> [literature_strategist]      -> Search Strategy + Source Corpus
Phase 2: ARCHITECTURE  -> [structure_architect]        -> Paper Outline + Evidence Map
Phase 3: ARGUMENTATION -> [argument_builder]           -> Argument Blueprint
Phase 4: DRAFTING      -> [draft_writer]               -> Complete Draft
Phase 5a: CITATIONS    -> [citation_compliance] ──┐    -> Citation Audit Report
Phase 5b: ABSTRACT     -> [abstract_bilingual]   ─┘    -> Bilingual Abstract + Keywords  (parallel)
Phase 6: PEER REVIEW   -> [peer_reviewer]              -> Review Report (max 2 revision loops)
Phase 7: FORMAT        -> [formatter]                  -> Final Output Package
See references/workflow_phase_details.md for detailed per-phase agent behavior and output descriptions.

Checkpoint Rules

  1. ⚠️ IRON RULE: User must confirm Paper Configuration Record before proceeding to Phase 1
  2. Phase 2 -> 3: User must approve outline (can request restructuring)
  3. ⚠️ IRON RULE: Max 2 revision loops; unresolved items -> "Acknowledged Limitations"
  4. Peer Review Critical-severity issues block progression to Phase 7
  5. User can skip Phase 1 (literature) if providing own sources

v3.4.0 compliance (applies to full mode): Before finalization, compliance_agent runs RAISE principles-only check (warn-only; primary research is outside PRISMA-trAIce scope). Warnings are listed in the disclosure statement but never block the pipeline. See shared/raise_framework.md §Scope disclaimer.

Operational Modes (10 Modes)

See references/mode_selection_guide.md for details.

ModeTriggerAgentsOutput
full"Write a paper"All 9 (+ 11 if quantitative)Complete paper draft (with figures if applicable)
outline-only"Paper outline"1->2->3Detailed outline + evidence map
revision"Revise paper"8->5->6Revised draft with tracked changes (uses templates/revision_tracking_template.md)
abstract-only"Write abstract"1->7Bilingual abstract + keywords
lit-review"Literature review"1->2Annotated bibliography + synthesis
format-convert"Convert to LaTeX" / "Convert citations to [format]"9 onlyFormatted document; includes citation format conversion (APA 7 / Chicago / MLA / IEEE / Vancouver)
citation-check"Check citations"6 onlyCitation error report
plan"guide my paper" / "help me plan my paper"1->10->3->4Chapter Plan + INSIGHT Collection
revision-coach"parse reviews" / "revision roadmap" / "I got reviewer comments"12 onlyRevision Roadmap + optional Tracking Template + Response Letter Skeleton
disclosure (v3.2)"AI disclosure for Nature" / "generate AI usage statement"9 onlyVenue-specific AI-usage disclosure paragraph(s) + placement instructions

Quick Mode Selection Guide

Your SituationRecommended ModeSpectrum
Starting from scratch with a clear RQfullbalanced
Need help planning before writingplanoriginality
Just need an outlineoutline-onlybalanced
Have a draft, received review feedbackrevisionfidelity
Have unstructured reviewer commentsrevision-coachbalanced
Just need an abstractabstract-onlyfidelity
Need to check/fix citationscitation-checkfidelity
Need to convert format (LaTeX, DOCX) or citation styleformat-convertfidelity
Want a systematic literature review paperlit-reviewfidelity
Need a venue-specific AI-usage disclosure statement for submissiondisclosurefidelity

Spectrum (v3.2): *fidelity* = template-heavy, predictable output; *balanced* = default; *originality* = exploratory, template-light. See shared/mode_spectrum.md for the full cross-skill spectrum table.

Not sure? Start with plan — it will guide you step by step. disclosure is a finishing step — run it after the paper is drafted, targeting the venue you plan to submit to.

Mode Selection Logic

See references/mode_selection_guide.md for trigger-to-mode mappings and the full selection flowchart.

Plan Mode: Chapter-by-Chapter Guided Planning

Socratic mode that guides users through paper planning one chapter at a time. Builds a complete Paper Blueprint through structured dialogue.

See references/plan_mode_protocol.md for the full chapter-by-chapter dialogue flow and Paper Blueprint structure.

Handoff Protocol: deep-research -> academic-paper

intake_agent automatically detects deep-research materials (RQ Brief / Bibliography / Synthesis / INSIGHT Collection) and skips redundant steps. See deep-research/SKILL.md Handoff Protocol for the complete handoff material format.


Failure Paths

See references/failure_paths.md for details. Quick reference:

Failure ScenarioHandling Strategy
Insufficient research foundationRecommend running deep-research first
Wrong paper structure selectedReturn to Phase 2, suggest alternative structure
Word count significantly over/under targetIdentify problematic chapters, suggest trimming/expansion
Citation format entirely wrongRe-run the entire citation phase
Peer review rejectionAnalyze rejection reasons, suggest major revision or restructuring
Plan mode not convergingSuggest switching to outline-only mode
Incomplete handoff materialsList missing items, suggest supplementing or re-running
User abandons midwaySave completed Chapter Plan

Full Academic Pipeline

See academic-pipeline/SKILL.md for the complete workflow.


Phase 0: Configuration Interview

See agents/intake_agent.md for the complete field definitions of the Phase 0 configuration interview. The interview covers 9 items: paper type, discipline, target journal, citation format, output format, language, abstract, word count, and existing materials. Outputs a Paper Configuration Record, awaiting user confirmation.


File Structure

Agent definitions: agents/{agent_name}.md — one file per agent (12 total, matching Agent Team table above).

References (19 files in references/):

  • Citation: apa7_extended_guide, apa7_chinese_citation_guide, citation_format_switcher
  • Writing: academic_writing_style, writing_quality_check, writing_judgment_framework
  • Structure: paper_structure_patterns (6 types), abstract_writing_guide
  • Domain: hei_domain_glossary (bilingual), journal_submission_guide, latex_template_reference
  • Process: failure_paths (12 scenarios), mode_selection_guide (10 modes), plan_mode_protocol, workflow_phase_details
  • Ethics: credit_authorship_guide (CRediT 14 roles), funding_statement_guide, statistical_visualization_standards
  • Disclosure (v3.2): disclosure_mode_protocol (venue-specific AI-usage statement generation), venue_disclosure_policies (v1 database: ICLR, NeurIPS, Nature, Science, ACL, EMNLP)
  • Also: deep-research/references/apa7_style_guide.md (base reference, extended here)

Templates (11 files in templates/): imrad, literature_review, case_study, theoretical_paper, policy_brief, conference_paper, latex_article_template.tex, bilingual_abstract, credit_statement, funding_statement, revision_tracking (4 status types).

Examples (5 files in examples/): imrad_hei_example, literature_review_example, plan_mode_guided_writing, chinese_paper_example, revision_mode_example.


Anti-Patterns

Explicit prohibitions to prevent common failure modes:

#Anti-PatternWhy It FailsCorrect Behavior
1AI-typical overused terms"delve into", "crucial", "it is important to note" = instant AI detectionUse discipline-specific vocabulary; see references/writing_quality_check.md
2Em dash abuseMore than 2 em dashes per page signals AI writingUse parentheses, commas, or restructure the sentence
3Throat-clearing openers"In this section, we will discuss..." adds no informationStart with the claim or finding directly
4Uniform paragraph lengthsEvery paragraph is 4-5 sentences = monotonous AI rhythmVary paragraph length naturally (2-8 sentences)
5⚠️ IRON RULE: Fabricated citationsInventing plausible-sounding references that don't existEvery citation must be verified via DOI or WebSearch; see academic-pipeline/agents/integrity_verification_agent.md
6Sycophantic revisionAccepting all reviewer feedback without critical evaluationUse REVIEWER_DISAGREE status when reviewer is wrong; justify with evidence
7Scope creep during revisionAdding unrequested sections/analyses to "improve" the paperRevision addresses reviewer concerns only; new content requires explicit user approval
8Ignoring failure pathsContinuing despite desk-reject signals or fatal methodology flawsCheck references/failure_paths.md; invoke F11 Desk-Reject Recovery when triggered

Quality Standards

Writing Quality

  1. Every claim must have a citation or be supported by the paper's own data
  2. Zero citation orphans — in-text citations <-> reference list must perfectly match
  3. Consistent register — academic tone appropriate for the discipline
  4. Logical flow — clear transitions between paragraphs and sections
  5. Word count compliance — within +/-10% of target

Bilingual Abstract Quality

  1. Independent writing — zh-TW and EN abstracts are independently composed, NOT mechanical translations
  2. Structural alignment — both abstracts cover the same key points in the same order
  3. Keywords — 5-7 per language, reflecting the paper's core concepts
  4. Word count — EN: 150-300 words; zh-TW: 300-500 characters

Citation Quality

  1. Format compliance — 100% adherence to selected citation style
  2. ⚠️ IRON RULE: DOI inclusion — every source with a DOI must include it; every citation must be verified via DOI or WebSearch
  3. Currency — flag sources older than 10 years (unless seminal works)
  4. Self-citation ratio — flag if >15%

Peer Review

  1. Five dimensions — Originality (20%), Methodological Rigor (25%), Evidence Sufficiency (25%), Argument Coherence (15%), Writing Quality (15%)
  2. Actionable feedback — every criticism must include a specific suggestion
  3. Max 2 revision rounds — unresolved items become Acknowledged Limitations

Mandatory Inclusions

⚠️ IRON RULE: Every paper MUST include: Data Availability Statement, Ethics Declaration, Author Contributions (CRediT), Conflict of Interest Statement, Funding Acknowledgment. 17. AI disclosure statement — every paper must include a statement on AI tool usage 18. Limitations section — explicitly discuss study limitations 19. Ethics statement — when applicable (human subjects, sensitive data)


Output Language

Follows the user's language. Academic terminology is kept in English. Bilingual abstracts are always provided regardless of the main text language.


Integration with Other Skills

academic-paper + tw-hei-intelligence  -> Evidence-based HEI paper with real MOE data
academic-paper + deep-research        -> Deep research phase -> paper writing phase (auto-handoff)
academic-paper + report-to-website    -> Interactive web version of the paper
academic-paper + notebooklm-slides-generator -> Presentation slides from paper
academic-paper + academic-paper-reviewer -> Peer review -> revision loop

Version Info

ItemContent
Skill Version3.1.1
Last Updated2026-04-27
MaintainerCheng-I Wu
Dependent Skillsdeep-research v1.0+ (upstream), academic-paper-reviewer v1.0+ (downstream)

Version History

See references/changelog.md for full version history.

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