A skill your agent uses when deciding which cjms- sub-skill to invoke next, or when sequencing a 《中国管理科学》 (Chinese Journal of Management Science) manuscript from topic selection through rebuttal.

MITAuto-check passedResearch & Science

Install Cjms Workflow

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cjms-workflow -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cjms-workflow --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Chinese-Journal-of-Management-Science-Skills/skills/cjms-workflow .claude/skills/cjms-workflow && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cjms-workflow
GitHub stars
1.2k
Token cost
~1k tokens
SKILL.md length
183 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding which cjms- sub-skill to invoke next, or when sequencing a 《中国管理科学》 (Chinese Journal of Management Science) manuscript from topic selection through rebuttal.

  • Works in 11 steps: cjms-topic-selection — 判主线与栏目,先排除姊妹刊错配 → cjms-literature-review — 中外双线综述,锚定方法增量 → cjms-model-formulation — 把管理情境刻画成完整模型 → …
  • Deciding which cjms- sub-skill to invoke next
  • SKILL.md covers 总览, 关键分叉:三条主线, 触发时机 and 路由表, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cjms Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which cjms- sub-skill to invoke next, or when sequencing a 《中国管理科学》 (Chinese Journal of Management Science) manuscript from topic selection through rebuttal. The key fork is 优化建模 vs 数据驱动预测 vs 金融工程实证 — three strands the journal publishes side by side. Routes — does not replace — the specialized skills.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Deciding which cjms- sub-skill to invoke next
  • Sequencing a 《中国管理科学》 (Chinese Journal of Management Science) manuscript from topic selection through rebuttal

Example prompts

  • “/cjms-workflow”

Workflow steps

11 steps, taken from the first numbered list in SKILL.md.

  1. cjms-topic-selection — 判主线与栏目,先排除姊妹刊错配
  2. cjms-literature-review — 中外双线综述,锚定方法增量
  3. cjms-model-formulation — 把管理情境刻画成完整模型
  4. cjms-solution-algorithm — 求解路线与算法交付(优化线重点)
  5. cjms-empirical-validation — 真实数据检验(预测/金融线重点)
  6. cjms-numerical-experiments — 算例与敏感性分析
  7. cjms-managerial-insights — 从结果导出决策规律
  8. cjms-tables-figures — 三线表、公式、图件统稿
  9. cjms-writing-style — 摘要、结语、体例合规
  10. cjms-submission — zgglkx.com 投稿前 preflight
  11. cjms-rebuttal — 外审后

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cjms Workflow loads about 1k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 183 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 183 words, ~1,006 tokens.

Download SKILL.mdSave it as .claude/skills/cjms-workflow/SKILL.md (or your agent's skills folder).
name
cjms-workflow
description
Use when deciding which cjms-* sub-skill to invoke next, or when sequencing a 《中国管理科学》 (Chinese Journal of Management Science) manuscript from topic selection through rebuttal. The key fork is 优化建模 vs 数据驱动预测 vs 金融工程实证 — three strands the journal publishes side by side. Routes — does not replace — the specialized skills.

《中国管理科学》工作流(cjms-workflow)

总览

这是路由器,不替代任何专用 skill。它告诉你当前阶段该用哪个 cjms- skill*。

默认假设:目标是《中国管理科学》——华罗庚教授 1984 年 12 月创办(原名《优选与管理科学》,1993 年更名、2014 年起为月刊),中国科学院主管,中国优选法统筹法与经济数学研究会与中科院科技战略咨询研究院主办。本刊要的是应用建模 + 算例/实证:把真实管理情境刻画成模型,解出来、算出来、检验出来,最后落到可执行的管理启示。基础事实与来源见 ../../resources/official-source-map.md。

关键分叉:三条主线

动笔前先判断稿件属于哪条主线,后续路由随之不同:

  • 优化建模型(规划与优化、生产与经营管理、项目管理栏目):管理情境 → 模型 → 求解算法 → 数值实验 → 管理启示。
  • 数据驱动预测型(预测与决策栏目):预测对象 → 方法组合/改进 → 真实数据样本外检验 → 与基准比较 → 决策含义。
  • 金融工程实证型(市场与投资分析栏目):金融问题 → 度量/组合/风险模型 → 市场数据实证 → 稳健性 → 投资或监管启示。

三条线共享同一底线:方法要有增量,检验要见真章——纯文字论述、纯回归找相关、无对比的"新方法"都过不了外审。

触发时机

  • 用户问"这篇能不能投《中国管理科学》/ 下一步做什么"
  • 有模型但没有算法或算例,或有预测方法但没有样本外检验
  • 手头是问卷量表或政策评估回归,不确定是否对口
  • 收到外审意见需要回复

路由表

当前症状下一个 Skill
不确定选题对不对口、投哪个栏目cjms-topic-selection
综述只堆文献、说不清贡献增量cjms-literature-review
情境讲了很多,模型要素不全cjms-model-formulation
模型建好了,不知道怎么解 / 算法没对比cjms-solution-algorithm
预测/金融类缺真实数据检验或基准比较cjms-empirical-validation
数值实验单薄、参数拍脑袋cjms-numerical-experiments
管理启示写成政策口号cjms-managerial-insights
表不合三线表、公式没用编译器cjms-tables-figures
摘要/关键词/中图分类号/结语体例不合cjms-writing-style
准备投稿,需要 12 页红线与系统 checklistcjms-submission
收到外审意见,需要写回复cjms-rebuttal

默认顺序

  1. cjms-topic-selection — 判主线与栏目,先排除姊妹刊错配
  2. cjms-literature-review — 中外双线综述,锚定方法增量
  3. cjms-model-formulation — 把管理情境刻画成完整模型
  4. cjms-solution-algorithm — 求解路线与算法交付(优化线重点)
  5. cjms-empirical-validation — 真实数据检验(预测/金融线重点)
  6. cjms-numerical-experiments — 算例与敏感性分析
  7. cjms-managerial-insights — 从结果导出决策规律
  8. cjms-tables-figures — 三线表、公式、图件统稿
  9. cjms-writing-style — 摘要、结语、体例合规
  10. cjms-submission — zgglkx.com 投稿前 preflight
  11. cjms-rebuttal — 外审后

优化建模型稿件可弱化第 5 步;预测/金融实证型稿件第 4 步换成"方法构造",但第 5 步不可省。两条线在第 6 步汇合。

决策口诀

  • "只有回归系数没有模型/方法" → cjms-topic-selection(多半改投)
  • "新方法但没跟基准比" → cjms-empirical-validation 或 cjms-solution-algorithm
  • "算例参数说不出来源" → cjms-numerical-experiments
  • "启示是'加强、完善、推进'" → cjms-managerial-insights

与本仓库其它期刊包的差异

  • 定理与证明更厚、方法更数理 → 管理科学学报(journal-of-management-sciences-in-china)
  • 系统工程方法论、大型工程应用 → 系统工程理论与实践(Chinese-SocialScience 广度束内 profile)
  • 经验实证 / 案例 / 政策评估 → 管理世界(journal-of-management-world)
  • 资产定价与宏观金融实证 → 金融研究(journal-of-financial-research)
  • 《中国管理科学》居中:应用建模为体、算例实证为用,比学报更重应用情境,比管理世界更重方法交付

本刊全流程卡点与路由目标

本刊稿件按"情境→模型/方法→求解/检验→算例→启示"骨架推进,每节都有外审卡点。路由器的价值是让稿件不带着未过关的环节走到下一步:

全流程卡点症状应调用
赛道错配定理厚 / 回归+政策硬投应用建模刊cjms-topic-selection
情境-模型脱节背景很中国、模型很教科书cjms-model-formulation
方法不可辩算法无性质分析、无消融基线cjms-solution-algorithm
检验不硬无样本外、基准全是弱者cjms-empirical-validation
算例不立单参数点、参数无来源cjms-numerical-experiments
启示空转口号化、与结果脱钩cjms-managerial-insights
形式不合超 12 页、公式非编译器排印cjms-tables-figures / cjms-writing-style

微型走查:一份稿件的路由轨迹

虚构稿件《考虑极端行情的碳价组合预测》从初稿到投稿,按路由表逐阶段判断:

输入:VMD 分解 + 三个学习器组合,全样本内 RMSE 领先,结论含"助力双碳战略"
1 [topic] 主线=数据驱动预测,栏目=预测与决策;增量待命名 → 有条件通过
2 [literature] 中文线缺本刊近年碳价预测对话 → 补 2 篇并逐篇写差异
3 [model] 组合权重环节 = 新增结构,单独成式 → 增量可命名
4 [algorithm] 无自设计算法,跳过(方法构造已在第 3 步落实)
5 [empirical] 卡点:只有全样本内拟合 → 补滚动样本外 + DM 检验 + 危机子样本
6 [numerical] 分解层数 K 拍脑袋 → 补 K 的敏感性扫描与边界报告
7 [insights] "助力双碳战略"命中口号黑名单 → 改写为配额调节的参数校准建议
8 [style] 摘要 260 字超限 → 压到 180 字、五要素齐
9 [submission] 13 页超红线 → 附加实验表移附录,12 页达标 → 可投

轨迹显示:第 5、6、7 步是真实卡点;预测线稿件最常死在"样本外"与"口号启示"两处。

反模式

  • 不要跳过 cjms-topic-selection 就动笔——本刊与《管理科学学报》《系统工程理论与实践》分工明确,投错赛道是最常见退稿
  • 不要在模型没立住时先去打磨图表与文风
  • 不要把"管理启示"当装饰段落——本刊源自华罗庚"把方法用到国民经济中去"的传统,应用落点是审稿硬指标
  • 不要让 cjms-rebuttal 在正文未修订前生成回复

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Chinese-Journal-of-Management-Science-Skills/skills/cjms-workflow of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Cjms Workflow next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Cjms Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cjms Workflow this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1kAutomated safety check: PassMIT
Hypothesis Generationspacering-net/codeg3.8k15 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills46k2 repos~2.1kAutomated safety check: PassApache-2.0
Read arXiv Paperkarpathy/nanochat58k2 repos~494Automated safety check: PassMIT
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT

Similar skills

  • Hypothesis Generation

    spacering-net/codeg

    Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.

    3.8k GitHub starsUsed in 15 repos~3.6k tokens
    Research & ScienceAuto-check: notes
  • GitHub Deep Research

    bytedance/deer-flow

    Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.

    83k GitHub starsUsed in 5 repos~1.3k tokens
    Research & ScienceAuto-check passed
  • Nature Paper Card

    Yuan1z0825/nature-skills

    Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.

    46k GitHub starsUsed in 2 repos~2.1k tokens
    Research & ScienceAuto-check passed
  • Read arXiv Paper

    karpathy/nanochat

    Fetches the TeX source of an arXiv paper from its URL, reads it and writes a markdown summary tied to the nanochat project.

    58k GitHub starsUsed in 2 repos~494 tokens
    Research & ScienceAuto-check passed
  • Content Research Writer

    weapp-tailwindcss/weapp-tailwindcss

    Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.

    1.9k GitHub starsUsed in 25 repos~3.5k tokens
    Research & ScienceAuto-check passed
  • Peer Review

    spacering-net/codeg

    Structured manuscript/grant review with checklist-based evaluation.

    3.8k GitHub starsUsed in 18 repos~5.9k tokens
    Research & ScienceAuto-check: notes

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…

    1.2k GitHub stars~1.3k tokensUpdated 11 days ago
    Auto-check passed
  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 11 days ago
    Auto-check passed
  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 11 days ago
    Auto-check passed
  • Aaag Research Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

    1.2k GitHub stars~1.4k tokensUpdated 11 days ago
    Auto-check passed
  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 11 days ago
    Auto-check passed
  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 11 days ago
    Auto-check passed

Questions about Cjms Workflow

What does Cjms Workflow do?

A skill your agent uses when deciding which cjms- sub-skill to invoke next, or when sequencing a 《中国管理科学》 (Chinese Journal of Management Science) manuscript from topic selection through rebuttal. Cjms Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which cjms- sub-skill to invoke next, or when sequencing a 《中国管理科学》 (Chinese Journal of Management Science) manuscript from topic selection through rebuttal.

When should I use Cjms Workflow?

Cjms Workflow fits situations like: deciding which cjms- sub-skill to invoke next; sequencing a 《中国管理科学》 (Chinese Journal of Management Science) manuscript from topic selection through rebuttal.

How do I install Cjms Workflow in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cjms-workflow -a claude-code`. Or copy the skill folder (Chinese-Journal-of-Management-Science-Skills/skills/cjms-workflow in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/cjms-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Cjms Workflow in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cjms-workflow -a codex`. Or copy the skill folder (Chinese-Journal-of-Management-Science-Skills/skills/cjms-workflow in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/cjms-workflow in your project. Codex loads it when a task matches its description.

Can I use Cjms Workflow in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cjms-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cjms-workflow, .gemini/skills/cjms-workflow, .github/skills/cjms-workflow and .opencode/skills/cjms-workflow in your project.

What does Cjms Workflow need to run?

SKILL.md names no scripts, command-line tools or credentials: Cjms Workflow is instructions for the agent only.

Does Cjms Workflow access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cjms Workflow safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cjms Workflow use?

Cjms Workflow is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cjms Workflow use?

About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cjms Workflow?

Skills that share tags, products or a category with Cjms Workflow: Hypothesis Generation (spacering-net/codeg, 3.8k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars), Nature Paper Card (Yuan1z0825/nature-skills, 46k stars) and Read arXiv Paper (karpathy/nanochat, 58k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cjms Workflow?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.