Agent skill

Jmsc Problem Formulation

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when formalizing the decision problem before model building for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — identifying the decision maker(s), decision…

MITAuto-check passedMarketing & SEO

Install Jmsc Problem Formulation

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jmsc-problem-formulation -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jmsc-problem-formulation --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/Journal-of-Management-Sciences-in-China-Skills/skills/jmsc-problem-formulation .claude/skills/jmsc-problem-formulation && 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
jmsc-problem-formulation
GitHub stars
1.2k
Token cost
~703 tokens
SKILL.md length
110 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when formalizing the decision problem before model building for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — identifying the decision maker(s), decision…

  • Works in 5 steps: 决策者:单主体(优化/控制)还是多主体(博弈/机制设计)?各自目标是否冲突? → 决策变量:决策者能选什么(价格、订货量、契约参数、投资比例…)?连续/离散?静态/… → 时序与信息:谁先动谁后动?决策时已知什么、未知什么(完全/不完全信息)? → …
  • Decision variables
  • SKILL.md covers 触发时机, 核心:先把问题问对,再建模, 决策问题五要素 and 问题类型识别表, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jmsc Problem Formulation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when formalizing the decision problem before model building for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — identifying the decision maker(s), decision variables, timing / information structure, uncertainty, and the objective, so the problem is well-posed. Use right after fit positioning and before jmsc-model-building; use when you cannot yet say who chooses what under which constraints, or when it is unclear whether the problem is optimization, game, or control.

Its SKILL.md is about 700 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 Marketing & SEO. 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

  • Decision variables
  • Timing / information structure
  • So the problem is well-posed
  • You cannot yet say who chooses what under which constraints

Example prompts

  • “/jmsc-problem-formulation”

Workflow steps

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

  1. 决策者:单主体(优化/控制)还是多主体(博弈/机制设计)?各自目标是否冲突?
  2. 决策变量:决策者能选什么(价格、订货量、契约参数、投资比例…)?连续/离散?静态/动态?
  3. 时序与信息:谁先动谁后动?决策时已知什么、未知什么(完全/不完全信息)?
  4. 不确定性:随机需求/收益的分布是否已知?是随机优化、鲁棒优化还是分布鲁棒?
  5. 目标与约束:优化什么(期望利润/风险调整收益/社会福利)?硬约束/软约束是什么?

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

Jmsc Problem Formulation loads about 703 tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 110 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~130
When it runs · the whole SKILL.md, loaded when a task matches
~703

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). 110 words, ~703 tokens.

Download SKILL.mdSave it as .claude/skills/jmsc-problem-formulation/SKILL.md (or your agent's skills folder).
name
jmsc-problem-formulation
description
Use when formalizing the decision problem before model building for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — identifying the decision maker(s), decision variables, timing / information structure, uncertainty, and the objective, so the problem is well-posed. Use right after fit positioning and before jmsc-model-building; use when you cannot yet say who chooses what under which constraints, or when it is unclear whether the problem is optimization, game, or control.

决策问题形式化(jmsc-problem-formulation)

触发时机

  • 有一个管理现象,但说不清"谁在做什么决策"
  • 模型要素散乱:不知道哪个是决策变量、哪个是参数
  • 多主体情境,没理清博弈时序与信息结构
  • 不确定问题是"优化"还是"博弈"还是"控制"

核心:先把问题问对,再建模

本刊审稿人第一关看的是问题是否良定义(well-posed)。建模之前必须答清五个要素,否则后面的模型一定带病。

决策问题五要素

  1. 决策者:单主体(优化/控制)还是多主体(博弈/机制设计)?各自目标是否冲突?
  2. 决策变量:决策者能选什么(价格、订货量、契约参数、投资比例…)?连续/离散?静态/动态?
  3. 时序与信息:谁先动谁后动?决策时已知什么、未知什么(完全/不完全信息)?
  4. 不确定性:随机需求/收益的分布是否已知?是随机优化、鲁棒优化还是分布鲁棒?
  5. 目标与约束:优化什么(期望利润/风险调整收益/社会福利)?硬约束/软约束是什么?

问题类型识别表

特征问题类型典型方法
单主体、确定性数学规划凸优化/整数规划
单主体、随机随机优化/MDP动态规划/最优控制
单主体、分布未知鲁棒/分布鲁棒优化min-max
多主体、目标冲突非合作博弈均衡(Nash/SPE)
委托方设计规则机制设计/契约理论激励相容/参与约束
用实验校准行为行为运作行为模型 + 估计

自检清单

  • 决策者及其目标已明确,多主体情形目标冲突点清楚
  • 决策变量与参数严格区分(变量是选的,参数是给定的)
  • 时序与信息结构明确(who knows what, when)
  • 不确定性来源与已知/未知边界写清(驱动方法选择)
  • 问题类型已归类,对应方法路线清晰
  • 问题良定义:目标可优化、约束可行域非空

反模式

  • 决策变量与外生参数混为一谈
  • 多主体写成单主体(忽略对手最优反应)
  • "不确定"一笔带过,不说分布是否已知(直接决定方法)
  • 问题描述就是文献综述,没落到"选什么、优化什么"

本刊问题形式化审稿期待与退稿模式

《管理科学学报》审稿第一关看"问题是否良定义"。审稿人核查五要素是否齐、变量与参数是否分清、时序信息是否明确、不确定性是否定性、问题类型是否归对。下表对齐本刊高频退稿语与修法:

退稿信号根因本刊期望的修法
"不知谁在做什么决策"决策者/变量未点明一句话写清决策者选什么变量、受什么约束、优化什么
"变量与参数混用"把外生量当决策量严格区分:变量是选的、参数是给定的
"多主体当单主体"忽略对手最优反应明确博弈时序与各方目标,引入最优反应
"不确定性一笔带过"不说分布是否已知标明随机/鲁棒/分布鲁棒,决定方法路线
"问题描述是文献综述"没落到决策删综述腔,落到目标函数与可行域

锚点:本刊已刊论文的引言末尾通常用一段"决策者—变量—时序—不确定性—目标"五要素小结收束,并据此声明属于规划/随机优化/博弈/机制设计中的哪一类。具体体例以编辑部最新稿约为准。

微型走查:医疗资源调度问题的形式化

虚构稿件《区域急救车辆的动态调度与再部署》。按五要素走一遍(示意数字仅作演示):

  • 决策者:单主体(急救调度中心),目标无内部冲突,属优化/控制而非博弈。
  • 决策变量:每个时刻各站点车辆派遣与再部署量 x_{ij,t}(站点 i 到 j、第 t 时段,离散、动态);区别于参数。
  • 时序-信息:呼叫按时序到达,调度决策在观测到当前在途车辆与排队后做出(部分信息,未来呼叫未知)。
  • 不确定性:呼叫到达为随机过程,强度 λ 随时段已知(分布已知)→ 属随机优化/MDP,而非鲁棒优化。
  • 目标-约束:min 期望响应时间(或 max 8 分钟内到达率),s.t. 车辆守恒、站点容量 ≤6 辆、再部署成本预算。参数:站点数 m=12、车辆总数 40、目标响应阈值 8 分钟。
  • 问题类型:单主体+随机+动态 → 排队-MDP,方法路线为近似动态规划/最优控制。

审稿人若追问"为何不按鲁棒优化处理呼叫不确定",回应应锚到信息结构:历史呼叫数据足以估计到达分布,分布已知场景下随机优化比鲁棒优化更不保守,故选 MDP。

输出格式

【决策者】单 / 多(<主体>,目标冲突点:…)
【决策变量】<变量>(连续/离散,静态/动态)
【时序-信息】<who moves/knows what, when>
【不确定性】无 / 分布已知 / 分布未知(→方法)
【目标-约束】max/min <目标> s.t. <约束>
【问题类型】规划 / 随机优化 / 博弈 / 机制设计 / 行为
【下一步】jmsc-model-building

© 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 Journal-of-Management-Sciences-in-China-Skills/skills/jmsc-problem-formulation of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Categories

Questions about Jmsc Problem Formulation

What does Jmsc Problem Formulation do?

A skill your agent uses when formalizing the decision problem before model building for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — identifying the decision maker(s), decision…. Jmsc Problem Formulation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when formalizing the decision problem before model building for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — identifying the decision maker(s), decision variables, timing / information structure, uncertainty, and the objective, so the problem is well-posed.

When should I use Jmsc Problem Formulation?

Jmsc Problem Formulation fits situations like: decision variables; timing / information structure; so the problem is well-posed; you cannot yet say who chooses what under which constraints.

How do I install Jmsc Problem Formulation in Claude Code?

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

How do I install Jmsc Problem Formulation in Codex?

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

Can I use Jmsc Problem Formulation 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 jmsc-problem-formulation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jmsc-problem-formulation, .gemini/skills/jmsc-problem-formulation, .github/skills/jmsc-problem-formulation and .opencode/skills/jmsc-problem-formulation in your project.

What does Jmsc Problem Formulation need to run?

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

Does Jmsc Problem Formulation 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 Jmsc Problem Formulation 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 Jmsc Problem Formulation use?

Jmsc Problem Formulation 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 Jmsc Problem Formulation use?

About 703 tokens (SKILL.md is roughly 2.8k 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 Jmsc Problem Formulation?

Skills that share tags, products or a category with Jmsc Problem Formulation: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jmsc Problem Formulation?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.