ViewWay/academic-research-skill

記録された最新のソース活動: 2026年5月31日 14:27

SkillsMP カタログ更新: 2026年11月2日 18:02

収集済み skills: 1

GitHub スター: 6
GitHub フォーク: 2

AI アシスタントでインストール

このプロンプトをコピーして、使用中の AI アシスタントに送ってください。

Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/ViewWay/academic-research-skill.

リポジトリの README

README の元ファイル：README.md

README の元ファイルを読む

README 全文を表示

# Academic Research Skill Pack [![Version](https://img.shields.io/badge/version-2.2.0-blue.svg)](https://github.com/ViewWay/academic-research-skill) [![Platform](https://img.shields.io/badge/platform-macOS%20%7C%20Linux%20%7C%20Windows-green.svg)](https://github.com/ViewWay/academic-research-skill) [![License](https://img.shields.io/badge/license-MIT-orange.svg)](LICENSE) **跨学科端到端学术研究 AI 技能包 — 从构思评估到终稿提交，覆盖全学科** Cross-disciplinary end-to-end academic research skill pack for Claude Code — from idea evaluation to camera-ready submission. Supports **27 sub-commands**, **28+ scientific databases**, **12+ venue templates**, and **cross-platform LaTeX compilation** (macOS, Linux, Windows). 跨学科学术研究技能包 — 从文献综述到 camera-ready 提交。支持 27 个子命令、28+ 科学数据库、12+ 顶级会议/期刊模板，跨平台 LaTeX 编译。 **[Full Documentation](https://github.viewway.io/academic-research-skill/)** [English](#english) · [中文](#中文) · [MIT License](LICENSE) --- <a id="english"></a> ## Why This Project? Academic research has a **"last-mile problem"**: you've read the papers, you have the idea, but turning it into a submission-ready manuscript still requires navigating dozens of workflows — literature search, citation management, LaTeX formatting, integrity verification, De-AIGC, and peer review simulation. Each of these steps has pitfalls. AI can generate plausible-sounding but **fabricated citations**. LLMs are **unreliable with numbers**. And without verification, errors **compound silently** through drafts. **This skill pack solves this by encoding the entire research pipeline into 20 specialized agents, enforced by 7 non-negotiable Iron Rules derived from [Lu et al. (2026, *Nature*)](https://doi.org/10.1038/s41586-026-07845-7) and [Zhao et al. (2026, arXiv:2605.07723)](https://arxiv.org/abs/2605.07723).** Our vision: **AI suggests, human decides. AI executes, human verifies. The researcher always remains the PI.** ## Architecture Overview ``` ┌───────────────────────────────────────────────────────────┐ │ 12 Slash Commands (/ar-*) │ │ + 27 Sub-Commands (/hbe-academic) │ ├───────────────────────────────────────────────────────────┤ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ Research │ │ Writing │ │ Review │ │ Pipeline │ │ │ │ 5 agents │ │ 5 agents │ │ 4 agents │ │ 6 agents │ │ │ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ │ │ └─────────────┴────────────┴─────────────┘ │ │ │ │ │ ┌──────────────────────┴──────────────────────────────┐ │ │ │ Material Passport (ar-passport.json) │ │ │ │ Cross-session state · Stage tracking · Audit trail │ │ │ └──────────────────────┬──────────────────────────────┘ │ │ │ │ │ ┌──────────────────────┴──────────────────────────────┐ │ │ │ 7 Iron Rules · 2 Integrity Gates · De-AIGC │ │ │ │ Non-negotiable academic integrity enforcement │ │ │ └──────────────────────┬──────────────────────────────┘ │ │ │ │ │ ┌──────────────────────┴──────────────────────────────┐ │ │ │ 28+ Scientific Databases (MCP) · 140+ Tool Guides │ │ │ │ arXiv · PubMed · OpenAlex · Semantic Scholar · FRED │ │ │ └──────────────────────┬──────────────────────────────┘ │ │ │ │ │ ┌──────────────────────┴──────────────────────────────┐ │ │ │ 12+ LaTeX Templates · Cross-Platform Compilation │ │ │ │ NeurIPS · ICML · ICLR · ACL · IEEE · ACM · ... │ │ │ │ macOS (MacTeX) · Linux (TeXLive) · Windows (MiKTeX)│ │ │ └─────────────────────────────────────────────────────┘ │ └───────────────────────────────────────────────────────────┘ ``` ## Key Features ### 8-Stage Pipeline with Integrity Gates ``` Stage 0: Idea Eval → Stage 1: Plan → Stage 2: Draft → Stage 2.5: INTEGRITY GATE (mandatory) ← Stage 3: Review → Stage 3.5: Revision → Stage 4: Finalize → Stage 4.5: INTEGRITY GATE (mandatory) ← Stage 5: Submit ``` The two integrity gates are **non-negotiable**. The pipeline cannot advance without passing them. This prevents unverified claims, fabricated citations, and AI-typical writing from reaching the final manuscript. ### 7 Iron Rules | # | Rule | Category | |---|------|----------| | 1 | **Never fabricate a citation** — every reference must be verified against a real database | Integrity | | 2 | **Never trust unverified AI numbers** — re-calculate, cross-reference, or reproduce | Accuracy | | 3 | **Every claim needs evidence** — citation, experimental data, or labeled conjecture | Rigor | | 4 | **Integrity gates cannot be skipped** — stages 2.5 and 4.5 are mandatory | Process | | 5 | **The researcher is the PI** — AI suggests, human decides | Authority | | 6 | **Five-step citation verification** — existence, accuracy, metadata, BibTeX, consistency | Verification | | 7 | **De-AIGC checks before submission** — five dimensions, all ≥ 7 | Quality | ### Material Passport The `ar-passport.json` manages cross-session state for long-running research projects: - **Pipeline stage** (0–5) with full history — resume exactly where you left off - **Integrity gate verdicts** — auditable, immutable after passage - **Artifacts** — every file produced, with hashes and timestamps - **Style profile** — 5-dimension calibrated writing voice - **Bibliography state** — verified count, pending references - **Collaboration log** — every human-AI interaction recorded ### 5-Dimension Style Calibration Learns and preserves the researcher's unique writing voice: | Dimension | Measures | Example Values | |-----------|----------|----------------| | Sentence Length | short / mixed / long | CS: short · Humanities: long | | Hedge Frequency | low / moderate / high | Physics: low · Social Science: high | | Passive Ratio | 0.0–1.0 float | Economics: 0.10 · Medicine: 0.40 | | Jargon Density | low / medium / high | Math: high · Education: low | | Paragraph Structure | topic-evidence / claim-data / assertion-elaboration | Engineering: claim-data-warrant | ### 3-Level Cross-Model Verification Every claim in the manuscript is independently verified: | Level | Method | When Used | |-------|--------|-----------| | **Primary** | Go to the original source (DOI, arXiv, PDF) and verify | Every cited claim | | **Secondary** | Independent re-calculation or cross-reference with a different source | Statistical and experimental claims | | **Tertiary** | A fresh Claude session (blind to original context) reviews the evidence chain | Integrity gates, high-stakes claims | ## 20 Specialized Agents | Group | Agents | Role | |-------|--------|------| | **Research** | `literature_search`, `synthesis`, `bibliography`, `socratic_mentor`, `fact_check` | 28+ database systematic search, multi-paper synthesis, citation lifecycle, guided exploration, claim verification | | **Writing** | `draft_writer`, `figure_design`, `de_aigc`, `citation_compliance`, `visualization` | IMRAD drafting, 3 load-bearing figures, De-AIGC 5-dimension assessment, venue-specific formatting, scientific plots | | **Review** | `peer_reviewer`, `devils_advocate`, `integrity_verification`, `editorial_synthesizer` | 7-dimension simulated review, active claim challenging, 4-layer integrity pipeline, multi-reviewer feedback synthesis | | **Pipeline** | `orchestrator`, `compliance`, `collaboration_observer`, `style_calibration`, `claim_audit`, `deep_reader` | 8-stage management, venue format compliance, human-AI depth monitoring, voice calibration, claim-faithfulness audit, four-pass paper reading | ### Agent Composition Rules 1. Agents **do NOT call other agents directly** — only slash commands (`/ar-*`) orchestrate composition 2. Every agent reads the Material Passport for context and writes back its contribution 3. Iron Rules apply to **all agents without exception** 4. All agents produce bilingual (EN/CN) content when the user writes in Chinese ## 12 Slash Commands | Command | Purpose | |---------|---------| | `/ar-full` | Complete 8-stage pipeline (idea → camera-ready) | | `/ar-plan` | Socratic research planning | | `/ar-lit-review` | Systematic literature review | | `/ar-reviewer` | Multi-perspective peer review simulation | | `/ar-abstract` | Abstract writing and polishing | | `/ar-outline` | Paper outline generation | | `/ar-revision` | Revision and rebuttal workflow | | `/ar-revision-coach` | Interactive revision coaching | | `/ar-citation-check` | Citation compliance verification | | `/ar-format-convert` | Cross-venue format conversion | | `/ar-disclosure` | AI usage disclosure generation | | `/ar-deep-read` | Four-pass deep paper reading | ## 140+ Tool Guides Per-package deep dive guides covering the research lifecycle: ``` Data Acquisition → Processing → EDA → Modeling → Visualization → Writing │ │ │ │ │ │ gget pandas scanpy PyTorch matplotlib LaTeX Biopython polars seaborn scikit-learn pgfplots natbib pysam dask plotly transformers TikZ biblatex pydicom vaex seaborn econml Inkscape docx ...140+ ... ... ... ... ... ``` See [`references/tool-registry.md`](references/tool-registry.md) for the full catalog, and [`references/tools/`](references/tools/) for per-package deep guides. ## Plugin Installation (v3.0.0+) ```text /plugin marketplace add ViewWay/academic-research-skill /plugin install academic-research-skill ``` ## Standalone Installation ```bash git clone https://github.com/ViewWay/academic-research-skill.git ~/github/academic-research-skill ln -s ~/github/academic-research-skill ~/.claude/skills/academic-research ``` Works standalone or as an HBE (Hermes-by-Everything's) add-on skill. ## Quick Start ```bash # Check LaTeX environment /hbe-academic check-env # Start a new paper project /hbe-academic paper --venue neurips --title "Your Paper Title" # Literature review /hbe-academic lit-review --topic "your research topic" # Deep read a paper /ar-deep-read # Run full pipeline /ar-full # Compile LaTeX /hbe-academic compile --engine xelatex --template neurips ``` ## Supported Venues | Venue | Type | Template | Compiler | |-------|------|----------|----------| | NeurIPS | Conference | ✅ | pdflatex/xelatex | | ICML | Conference | ✅ | pdflatex/xelatex | | ICLR | Conference | ✅ | pdflatex/xelatex | | ACL/EMNLP | Conference | ✅ | pdflatex/xelatex | | AAAI | Conference | ✅ | pdflatex/xelatex | | IEEE (Trans/Conf) | Journal/Conf | ✅ | pdflatex | | Springer (LNCS) | Conference | ✅ | pdflatex | | Elsevier | Journal | ✅ | pdflatex | | ACM | Conference | ✅ | pdflatex | | APS (Phys Rev) | Journal | ✅ | pdflatex | | Chinese Thesis | Thesis | ✅ | xelatex | | Beamer Slides | Presentation | ✅ | pdflatex/xelatex | ## Directory Structure ``` academic-research-skill/ ├── SKILL.md # Main skill definition (686 lines) ├── _meta.json # Publishing metadata ├── README.md # This file ├── LICENSE # MIT license ├── .claude-plugin/ # Plugin manifest │ ├── plugin.json # 20 agents, 12 commands │ └── marketplace.json # Marketplace listing ├── hooks/ # Session lifecycle hooks │ ├── hooks.json │ └── session-start.sh ├── agents/ # 20 specialized agents │ ├── README.md # Agent composition rules │ ├── research/ # literature_search, synthesis, bibliography, socratic_mentor, fact_check │ ├── writing/ # draft_writer, figure_design, de_aigc, citation_compliance, visualization │ ├── review/ # peer_reviewer, devils_advocate, integrity_verification, editorial_synthesizer │ └── pipeline/ # orchestrator, compliance, collaboration_observer, style_calibration, claim_audit, deep_reader ├── commands/ # 12 slash command definitions ├── shared/ # Shared protocols and state │ ├── iron-rules.md # 7 non-negotiable integrity rules │ ├── anti-patterns.md # Writing/research/pipeline/agent anti-patterns │ ├── material-passport-schema.md # Cross-session state JSON schema │ ├── style-calibration-protocol.md # 5-dimension writing voice calibration │ ├── collaboration-depth-rubric.md # 4-level human-AI collaboration standard │ └── cross-model-verification.md # 3-level claim verification protocol ├── tests/ # Test suite ├── references/ # Reference documents (18 guides + 140+ tool guides) │ ├── writing-guide.md │ ├── citation-workflow.md │ ├── latex-environment.md │ ├── journal-templates-guide.md │ ├── systematic-review-methodology.md │ ├── tool-registry.md # 60+ curated tool catalog │ ├── tools/ # Per-package deep guides (140+ packages) │ └── ... # See references/ for full list ├── templates/ # LaTeX templates (12+ venues) ├── scripts/ # Helper scripts │ ├── compile.sh │ ├── check-environment.sh │ └── search_arxiv.py └── workflows/ # Sub-workflow definitions ├── literature-review.md ├── paper-writing.md ├── experiment-design.md ├── rebuttal.md └── ml-benchmarking.md ``` ## Integration This skill pack integrates with: - **[Supervisor-Skills](https://github.com/HKUSTDial/Supervisor-Skills)** — Idea evaluation, Intro six-paragraph model, figure design, pre-submission review - **[Awesome-Agent-Skills](https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research)** — StatsPAI causal inference, De-AIGC skills, empirical analysis pipeline - **Overleaf** — cloud LaTeX editing via API - **Zotero** — reference management - **28+ Scientific Databases** — MCP integration with arXiv, PubMed, OpenAlex, Semantic Scholar, FRED, ADS, SSRN, etc. ## Contributing Contributions welcome — PRs, issues, and feature requests are all appreciated. ## License [MIT](LICENSE) --- <a id="中文"></a> ## 为什么做这个项目？学术研究有一个**"最后一公里问题"**：你读完了文献、有了想法，但把它变成一篇可投稿的稿件，仍需穿越十几个工作流——文献检索、引用管理、LaTeX 排版、诚信验证、降 AIGC、同行评审模拟。每个步骤都有陷阱。AI 可以生成听起来合理但**完全虚构的引用**。大语言模型在数字方面**不可靠**。如果不验证，错误会在草稿间**静默累积**。 **本技能包将整个研究流程编码为 20 个专业智能体，由 7 条不可协商的铁律强制执行。** 铁律来源于 [Lu 等人（2026, *Nature*）](https://doi.org/10.1038/s41586-026-07845-7) 和 [Zhao 等人（2026, arXiv:2605.07723）](https://arxiv.org/abs/2605.07723) 的实证研究。我们的愿景：**AI 建议，人类决定。AI 执行，人类验证。研究者始终是项目主持人。** ### 核心数字 | 指标 | 数量 | |------|------| | 专业智能体 | **20 个**（研究 5 + 写作 5 + 审稿 4 + 流程 6） | | 斜杠命令 | **12 个**（`/ar-full` 到 `/ar-deep-read`） | | 子命令 | **27 个**（`/hbe-academic` 扩展能力） | | 铁律 | **7 条**（不可协商的学术诚信底线） | | 诚信关卡 | **2 个**（Stage 2.5 + Stage 4.5，强制执行） | | 工具指南 | **140+ 个**（覆盖 CS/ML、生物、化学、物理、经济、社科） | | 科学数据库 | **28+ 个**（MCP 集成：arXiv、PubMed、OpenAlex 等） | | 顶级会议模板 | **12+ 个**（NeurIPS、ICML、ICLR、ACL、IEEE、ACM 等） | | 跨平台编译 | **macOS / Linux / Windows**（MacTeX / TeXLive / MiKTeX） | | 引用验证步骤 | **5 步**（存在性→准确性→元数据→BibTeX→一致性） | ### 安装 ```bash # 插件市场安装（推荐） /plugin marketplace add ViewWay/academic-research-skill /plugin install academic-research-skill # 或独立安装 git clone https://github.com/ViewWay/academic-research-skill.git ~/github/academic-research-skill ln -s ~/github/academic-research-skill ~/.claude/skills/academic-research ``` ### 快速开始 ```bash /ar-full # 完整 8 阶段流水线 /ar-plan # 苏格拉底式研究规划 /ar-lit-review # 系统性文献综述 /ar-deep-read # 四遍论文精读 /ar-reviewer # 七维度模拟审稿 /ar-citation-check # 引用合规验证 ``` 如果觉得这个项目对你有帮助，请点亮右上角的 Star！

リポジトリの README を読み込んでいます…

このリポジトリの skills

コンピュータサイエンスの高等教育教員その他の高等教育社会科学教員

2 件の職業カテゴリ · 100% 分類済み

skill

職業分類

説明

更新

academic-research

その他の高等教育社会科学教員コンピュータサイエンスの高等教育教員

Cross-disciplinary academic research skill pack / 跨学科学术研究技能包 — literature review, paper writing, LaTeX compilation, journal/conference formatting, experiment design, rebuttal workflow, thesis writing, idea evaluation, figure design, causal inference, De-AIGC,…

原文の言語: 複数言語

2026-05-31

収集済み skill 1 件中 1 件を表示しています。