Report
microsoft/data-formulator
Turn an exploration (threads, findings, charts) into a single Markdown report — note, blog post, executive summary, KPI dashboard, slide brief, or multi-section analytical report, with embedded…
Agent skill
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when designing, reporting, or auditing an exact, decomposition, heuristic, simulation, or learning-based solution route for 《系统工程学报》 (Journal of Systems Engineering, Tianjin…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-algorithm-computation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-algorithm-computation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation .claude/skills/jse-tju-algorithm-computation && rm -rf skills-srcUse ~/.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/
Install the "jse-tju-algorithm-computation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation into .claude/skills/jse-tju-algorithm-computation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-algorithm-computation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-algorithm-computation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-algorithm-computation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation .agents/skills/jse-tju-algorithm-computation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jse-tju-algorithm-computation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation into .agents/skills/jse-tju-algorithm-computation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-algorithm-computation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-algorithm-computation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-algorithm-computation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation .cursor/skills/jse-tju-algorithm-computation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jse-tju-algorithm-computation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation into .cursor/skills/jse-tju-algorithm-computation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-algorithm-computation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-algorithm-computation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-algorithm-computation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation .gemini/skills/jse-tju-algorithm-computation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jse-tju-algorithm-computation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation into .gemini/skills/jse-tju-algorithm-computation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-algorithm-computation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-algorithm-computationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-algorithm-computation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation .github/skills/jse-tju-algorithm-computation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jse-tju-algorithm-computation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation into .github/skills/jse-tju-algorithm-computation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-algorithm-computation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-algorithm-computation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-algorithm-computation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation .opencode/skills/jse-tju-algorithm-computation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jse-tju-algorithm-computation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation into .opencode/skills/jse-tju-algorithm-computation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-algorithm-computation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
jse-tju-algorithm-computationA skill your agent uses when designing, reporting, or auditing an exact, decomposition, heuristic, simulation, or learning-based solution route for 《系统工程学报》 (Journal of Systems Engineering, Tianjin…
Jse Tju Algorithm Computation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing, reporting, or auditing an exact, decomposition, heuristic, simulation, or learning-based solution route for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), including pseudocode, convergence or complexity, baselines, ablations, parameter settings, computing environment, scalability, and reproducible computational evidence.
Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Jse Tju Algorithm Computation loads about 768 tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 103 words of instructions outside code blocks.
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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 103 words, ~768 tokens.
.claude/skills/jse-tju-algorithm-computation/SKILL.md (or your agent's skills folder).当模型已定义但求解路线、算法增量或计算证据仍不完整时使用。算法必须回应系统结构带来的困难,
不能因为换用一个热门元启发式就自动成为贡献。本刊近年样本包含优化、网络、仿真和预测研究;
内容画像见 source-basis.md,可复现接口见
code/README.md。
提供数学模型或计算任务、输入输出、实例规模、结构性质、精度/时间目标、候选算法、已有代码与结果。 先判定:
没有明确计算任务时,不先写伪代码;模型若尚未闭合,返回 jse-tju-system-modeling。
| 问题结构 | 首选路线 | 必须说明 |
|---|---|---|
| 小中规模线性/整数模型 | 商用或开源求解器、精确算法 | 最优间隙、时间限制、求解状态 |
| 可分结构 | Benders、列生成、拉格朗日或 ADMM | 分解依据、上下界、停止准则 |
| 动态/随机决策 | 动态规划、近似 DP、滚动优化 | 状态、情景、非预见性与误差 |
| 大规模组合问题 | 启发式/元启发式 | 可行性保持、基线、重复与统计 |
| 网络/动力系统 | 数值积分、事件仿真、谱/迭代方法 | 步长、稳定、初值和误差 |
| 数据驱动任务 | 统计/机器学习模型 | 数据切分、泄漏防控、强基线 |
复杂方法不是优先级;能用精确或标准方法回答问题时,不添加无必要的算法层。
把模型结构与算法模块一一对应:耦合约束为何需要分解,网络稀疏性如何利用,动态状态如何更新, 异质主体如何并行。若模块删除后算法仍等同通用模板,谨慎声称算法创新。
列出输入、初始化、循环/递归、可行性修复、随机操作、终止条件和输出。符号与模型一致;每一步 能在实现中定位。不要用“更新解”“优化参数”掩盖关键过程。
精确/分解方法报告有限收敛、界或最优性间隙;迭代方法报告收敛条件或经验残差;启发式无法给 全局保证时明确性质,并用小规模最优解、上下界和多次重复评价误差。
至少覆盖:简单决策规则、领域常用方法、最接近方法、可行时的小规模精确真值。统一数据、预算、 停止条件与硬件;不能让本方法获得更多时间或调参信息而不披露。
每个声称有贡献的模块至少一个消融。参数实验区分算法超参数与系统参数:前者检验稳定和调参成本, 后者解释系统机制。避免把超参数敏感性写成管理结论。
列实例数、变量/约束/节点/时期规模、随机种子、重复次数、语言与版本、求解器与版本、CPU/GPU、 内存、时间限制、容差和并行设置。动态要求回查官方格式;计算环境本身按研究可复现性完整报告。
Algorithm: [名称]
Input: instance I, system parameters θ, tolerance ε, budget B, seed s
Initialize: feasible state/solution x0; incumbent; bounds/residuals
while stopping rule is false:
update the system state or subproblem
generate and evaluate candidate decisions
preserve/repair feasibility
update incumbent, bounds, residuals, or model
return decision x*, objective/trajectory, status, diagnostics| 主张 | 最低证据 |
|---|---|
| 解质量更高 | 强基线、同预算、间隙/统计区间 |
| 速度更快 | 多规模、同环境、时间与失败率 |
| 可扩展 | 规模梯度、内存、超时边界 |
| 模块有效 | 消融、交互消融、代价分析 |
| 结构有价值 | 与不利用结构的算法比较 |
| 结果稳定 | 多随机种子、分布、参数敏感性 |
对动态应急配送,若提出“改进遗传算法”,需要说明滚动状态和公平约束如何进入编码、交叉与修复; 小规模与 MIP 最优解比较,大规模与滚动贪心和标准遗传算法同预算比较;报告中断强度、网络规模、 重复分布和超时。仅给一条收敛曲线不能支持优越性。
算法稿若不能解释系统结构为何要求该求解设计,会被视为通用算法套用;若只有计算改善而没有
系统级含义,也难以建立本刊专属性。算法证据与稿件类型的总体验证应交给 jse-tju-validation,
随机性和环境复现交给 jse-tju-robustness-reproducibility。
【计算任务与结构难点】
【路线选择及被排除方案】
【算法输入—步骤—输出】
【收敛 / 复杂度 / 诊断保证】
【基线与公平预算】
【消融与参数设计】
【规模梯度与失败边界】
【计算环境和复现清单】
【系统级解释】
【最大拒稿风险】© 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
Just SKILL.md in Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Jse Tju Algorithm Computation 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jse Tju Algorithm Computation this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~768 | Automated safety check: Pass | MIT | |
| Reportmicrosoft/data-formulator | 18k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Reportalirezarezvani/claude-skills | 28k | 1 repos | ~727 | Automated safety check: Pass | MIT | |
| Bugcrowd Reportingsickn33/agentic-awesome-skills | 47k | 1 repos | ~5.9k | Automated safety check: Pass | MIT | |
| Reportsgarrytan/gbrain | 31k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Ito Computeaffaan-m/ECC | 275k | 1 repos | ~1.7k | Automated safety check: Pass | MIT |
microsoft/data-formulator
Turn an exploration (threads, findings, charts) into a single Markdown report — note, blog post, executive summary, KPI dashboard, slide brief, or multi-section analytical report, with embedded…
alirezarezvani/claude-skills
Generate test report. An agent skill from alirezarezvani/claude-skills.
sickn33/agentic-awesome-skills
Bugcrowd-specific reporting tactics complementing report-writing
garrytan/gbrain
Save and load timestamped reports. An agent skill from garrytan/gbrain.
affaan-m/ECC
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification through the separately…
sickn33/agentic-awesome-skills
Bug bounty report writing for H1/Bugcrowd/Intigriti/Immunefi
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…
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…
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…
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…
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…
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…
A skill your agent uses when designing, reporting, or auditing an exact, decomposition, heuristic, simulation, or learning-based solution route for 《系统工程学报》 (Journal of Systems Engineering, Tianjin…. Jse Tju Algorithm Computation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing, reporting, or auditing an exact, decomposition, heuristic, simulation, or learning-based solution route for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), including pseudocode, convergence or complexity, baselines, ablations, parameter settings, computing environment, scalability, and reproducible computational evidence.
Jse Tju Algorithm Computation fits situations like: auditing an exact; learning-based solution route for 《系统工程学报》 (Journal of Systems Engineering; tianjin University); including pseudocode.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-algorithm-computation -a claude-code`. Or copy the skill folder (Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jse-tju-algorithm-computation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-algorithm-computation -a codex`. Or copy the skill folder (Journal-of-Systems-Engineering-Skills/skills/jse-tju-algorithm-computation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jse-tju-algorithm-computation in your project. Codex loads it when a task matches its description.
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 jse-tju-algorithm-computation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jse-tju-algorithm-computation, .gemini/skills/jse-tju-algorithm-computation, .github/skills/jse-tju-algorithm-computation and .opencode/skills/jse-tju-algorithm-computation in your project.
SKILL.md names no scripts, command-line tools or credentials: Jse Tju Algorithm Computation is instructions for the agent only.
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.
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.
Jse Tju Algorithm Computation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 768 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Jse Tju Algorithm Computation: Report (microsoft/data-formulator, 18k stars), Report (alirezarezvani/claude-skills, 28k stars), Bugcrowd Reporting (sickn33/agentic-awesome-skills, 47k stars) and Reports (garrytan/gbrain, 31k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.