[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-4489":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":14,"subscribersCount":14,"size":14,"stars1d":14,"stars7d":14,"stars30d":15,"stars90d":14,"forks30d":14,"starsTrendScore":14,"compositeScore":16,"rankGlobal":9,"rankLanguage":9,"license":17,"archived":18,"fork":18,"defaultBranch":19,"hasWiki":20,"hasPages":18,"topics":21,"createdAt":9,"pushedAt":9,"updatedAt":22,"readmeContent":23,"aiSummary":24,"trendingCount":14,"starSnapshotCount":14,"syncStatus":25,"lastSyncTime":26,"discoverSource":27},4489,"MGMT-Paper-Skills","HaonanAlex\u002FMGMT-Paper-Skills","HaonanAlex","Management research paper skills and MCP workflows for Codex and Claude",null,"Python",117,16,8,0,28,3.69,"Other",false,"main",true,[],"2026-06-12 02:01:02","# MGMT-Paper-Skills \u002F 管研智序 Skills\n\n> Practical Codex & Claude workflows for management research: idea development, literature work, data cleaning, SPSS\u002FStata\u002FPython analysis, qualitative coding, mixed methods, journal figures, writing, and review.\n\n> 面向管理学科研的实用型 Codex \u002F Claude 科研工作台：覆盖 idea 打磨、文献整理、数据清洗、SPSS\u002FStata\u002FPython 分析、定性编码、混合方法、期刊图表、论文写作与审稿自查。\n\n![Status](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fstatus-beta-blue)\n![Tests](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Ftests-22%20suites%20passing-brightgreen)\n![License](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-Apache--2.0-green)\n![Focus](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Ffocus-management%20research-purple)\n![Skills](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fcategory-MGMT%20Paper%20Skills-orange)\n\n![MGMT-Paper-Skills workflow](docs\u002Fassets\u002Fworkflow-overview.svg)\n\n**MGMT-Paper-Skills** turns recurring research work into reviewable workflows. It does not promise automatic papers or guaranteed publication. It helps researchers make the ordinary but demanding parts of scholarship more structured, reproducible, and easier to audit.\n\n**管研智序 Skills** 的核心是“把研究做成有序流程”。它不替代学者判断，也不承诺一键顶刊；它把管理学科研中反复出现的工作沉淀成可安装、可复用、可检查的 skills、模板和本地 MCP 适配器。\n\n## Why It Is Useful \u002F 为什么值得收藏\n\n| English | 中文 |\n| --- | --- |\n| Covers the full research pipeline from idea to review. | 覆盖从选题、文献、数据、分析、图表、写作到审稿自查的完整链条。 |\n| Designed for management research, not generic note-taking. | 面向管理学、组织、战略、IS、营销、金融与运营研究，不是泛泛笔记工具。 |\n| Bridges local Python, Stata, and SPSS through a scoped MCP adapter. | 通过有边界的 MCP 适配器串联本地 Python、Stata 与 SPSS。 |\n| Supports quantitative, qualitative, and mixed-methods workflows. | 同时覆盖定量、定性与混合方法。 |\n| Includes UTD 24 journal figure profiles and publication checks. | 内置 UTD 24 本期刊图表 profile 与投稿质量门。 |\n| Keeps the scholar in the loop. | 强调研究者主导，不伪造数据、引用或结论。 |\n\n## Quick Start \u002F 快速开始\n\nDry run first \u002F 先预演安装：\n\n```bash\n.\u002Finstall.sh --dry-run --with-dev\n```\n\nInstall \u002F 正式安装：\n\n```bash\n.\u002Finstall.sh --with-dev\n```\n\nValidate \u002F 验证：\n\n```bash\npython3 scripts\u002Fvalidate_workspace.py --run-tests\npython3 scripts\u002Fvalidate_workspace.py --strict-release\n```\n\nThe installer symlinks all skills into `~\u002F.codex\u002Fskills` and `~\u002F.claude\u002Fskills`, installs MCP modules in editable mode, generates `build\u002Fmcp\u002Fclaude_desktop_config.generated.json`, and runs the workspace validator.\n\n安装脚本会把所有 skills 链接到 `~\u002F.codex\u002Fskills` 与 `~\u002F.claude\u002Fskills`，安装 MCP 模块，生成 MCP 配置片段，并运行项目校验。\n\n## Modules \u002F 模块\n\n| Name | Package | Purpose |\n| --- | --- | --- |\n| MGMT - Paper - Writing | `mgmt-paper-writing` | Chinese economics\u002Fmanagement writing scaffolds, abstracts, introductions, results, and referee responses. |\n| MGMT - Paper - Manuscript Package | `mgmt-paper-manuscript-package` | Manuscript material inventory, structure defense, chapter drafting, integrated revision, and presubmission package assembly. |\n| MGMT - Paper - Project Management | `mgmt-paper-project-management` | Paper project boards, milestones, weekly plans, risk registers, collaboration tasks, and version-freeze checklists. |\n| MGMT - Paper - Reviewer Simulation | `mgmt-paper-reviewer-simulation` | Strict top-journal reviewer simulation with editor decision, reviewer reports, fatal risks, and revision strategy. |\n| MGMT - Paper - Style Benchmark | `mgmt-paper-style-benchmark` | Top-journal style benchmarking for language, structure, paragraphs, formatting, figures, and submission polish. |\n| MGMT - Paper - Grants | `mgmt-paper-grants` | General grant proposal workflows for domestic and international funding applications. |\n| MGMT - Paper - NSFC | `mgmt-paper-nsfc` | NSFC-specific proposal writing, budget, structure, and reviewer-risk checks. |\n| MGMT - Paper - Causal Methods | `mgmt-paper-causal-methods` | DiD, IV, RDD, PSM, synthetic control methods with Stata\u002FR\u002FPython notes. |\n| MGMT - Paper - Data Cleaning | `mgmt-paper-data-cleaning` | CSMAR data cleaning conventions and Stata\u002FR\u002FPython starter code. |\n| MGMT - Paper - Publication Figures | `mgmt-paper-publication-figures` | Chinese-journal figure and table conventions with matplotlib templates. |\n| MGMT - Paper - Charts | `mgmt-paper-charts` | Economics\u002Ffinance\u002Fmanagement chart recipes across Stata, R, and Python. |\n| MGMT - Paper - Tables | `mgmt-paper-tables` | Regression table conventions and templates across Stata, R, and Python. |\n| MGMT - Paper - SPSS | `mgmt-paper-spss` | SPSS syntax templates for survey, experiment, reliability, EFA, regression, mediation, moderation, and logistic models. |\n| MGMT - Paper - Journal Figures | `mgmt-paper-journal-figures` | UTD 24, Nature-style, and Chinese-journal figure quality gates and templates. |\n| MGMT - Paper - Qualitative | `mgmt-paper-qualitative` | Gioia, grounded theory, thematic analysis, interviews, codebooks, and NVivo\u002FMAXQDA\u002FATLAS.ti workflows. |\n| MGMT - Paper - Mixed Methods | `mgmt-paper-mixed-methods` | Joint displays, qual-to-quant hypothesis building, quant-to-qual mechanism interpretation, and idea-to-story-to-paper workflows. |\n| MGMT - Paper - Diagrams | `mgmt-paper-diagrams` | Research workflow diagrams, DAGs, PRISMA, hypothesis trees, and GraphML export. |\n| MGMT - Paper - Local Analysis MCP | `mgmt-paper-local-analysis-mcp` | Safety-scoped MCP bridge for Python, Stata, SPSS, runtime detection, audit logs, and figure rendering. |\n| MGMT - Paper - NSFC MCP | `mgmt-paper-nsfc-mcp` | MCP server for NSFC public project data. |\n| MGMT - Paper - CN Academic Search MCP | `mgmt-paper-cn-academic-search-mcp` | MCP adapter for CNKI\u002FWanfang\u002FCQVIP-style academic search providers. |\n| MGMT - Paper - CN Finance Data MCP | `mgmt-paper-cn-finance-data-mcp` | MCP adapter for Wind\u002FiFinD\u002FChoice\u002FTushare-style Chinese finance data providers. |\n| MGMT - Paper - Research Visuals MCP | `mgmt-paper-research-visuals-mcp` | MCP adapter for academic concept visuals, graphical abstracts, and research diagrams. |\n\n## Demo \u002F 端到端示例\n\n`examples\u002Fend-to-end-management-study\u002F` shows a complete toy workflow:\n\n`examples\u002Fend-to-end-management-study\u002F` 提供一个完整的管理学研究演示：\n\n1. survey CSV → SPSS reliability\u002FEFA\u002Fregression syntax;\n2. Python journal-style figure generation;\n3. NVivo\u002FMAXQDA\u002FATLAS.ti-style interview export cleaning;\n4. mixed-methods joint inference;\n5. paper-ready results paragraph;\n6. presubmission package, reviewer simulation, style benchmark, and project-management handoff.\n\n## Product Pages \u002F 产品说明页\n\n- English: [docs\u002Fproduct.en.md](docs\u002Fproduct.en.md)\n- 中文：[docs\u002Fproduct.zh-CN.md](docs\u002Fproduct.zh-CN.md)\n- GitHub Pages entry: [docs\u002Findex.md](docs\u002Findex.md)\n\n## Local Execution Safety \u002F 本地执行安全\n\n`mgmt-paper-local-analysis-mcp` refuses to execute files outside `LOCAL_ANALYSIS_ALLOW_ROOTS`.\n\n`mgmt-paper-local-analysis-mcp` 默认拒绝执行允许目录之外的脚本、工作目录和图表输出。\n\n```bash\nexport LOCAL_ANALYSIS_ALLOW_ROOTS=\"\u002Fpath\u002Fto\u002Fyour\u002Fresearch\u002Fproject\"\nexport LOCAL_ANALYSIS_AUDIT_LOG=\"\u002Fpath\u002Fto\u002Fyour\u002Fresearch\u002Fproject\u002Flocal-analysis-audit.jsonl\"\n```\n\nUse `dry_run=true` before running unfamiliar scripts.\n\n运行陌生脚本前，先使用 `dry_run=true`。\n\n## Repository Naming \u002F 仓库命名\n\nRecommended GitHub repository name:\n\n推荐 GitHub 仓库名：\n\n```text\nMGMT-Paper-Skills\n```\n\nAlternative names:\n\n- `mgmt-paper-workflows`\n- `mgmt-paper-agent`\n- `mgmt-paper-studio`\n\nChinese product name:\n\n```text\n管研智序 Skills\n```\n\n“管研智序”强调把管理学研究流程理顺，比“神器”“顶刊工厂”更专业，也更容易被严肃学者接受。\n\n## Roadmap \u002F 路线图\n\n- [x] Monorepo release structure.\n- [x] One-command installer.\n- [x] Local Python\u002FStata\u002FSPSS MCP bridge with allowlist and audit log.\n- [x] SPSS, qualitative, and mixed-methods skills.\n- [x] Manuscript package, project management, reviewer simulation, and style benchmark skills.\n- [x] UTD 24 journal figure profiles.\n- [x] End-to-end management study demo.\n- [ ] More real journal LaTeX\u002FWord style packs.\n- [ ] More public-data connectors for management research.\n- [ ] Optional GitHub Pages demo site with walkthrough images.\n\n## Boundaries \u002F 边界\n\nThis project does not fabricate citations, datasets, empirical results, or scholarly claims. It helps researchers organize and check work that remains their responsibility.\n\n本项目不伪造引用、数据、实证结果或学术主张。它负责辅助流程化、复现和检查；研究判断仍由研究者承担。\n","MGMT-Paper-Skills 是一个面向管理学科研的实用型 Codex 和 Claude 科研工作台，覆盖从选题、文献整理、数据清洗、SPSS\u002FStata\u002FPython 分析、定性编码、混合方法、期刊图表到论文写作与审稿自查的完整研究流程。该项目通过有边界的 MCP 适配器串联本地 Python、Stata 与 SPSS，提供结构化、可复用且易于审计的工作流，支持定量、定性和混合方法研究，并内置 UTD 24 本期刊图表 profile 与投稿质量检查功能。适用于管理学、组织、战略、信息系统、营销、金融与运营等领域的研究人员，旨在提高科研工作的效率和规范性。",2,"2026-06-11 02:59:52","CREATED_QUERY"]