3coding-visual

jihe520/MathModelAgent · Agent Skill

Implements mathematical models, generates reproducible code, runs solutions, verifies constraints, and creates PDF charts for reports.

Jump to install ↓

Overview

Publisherjihe520Community
Repositoryjihe520/MathModelAgent ↗
Skill folder3coding-visual
Stars4,251
Bundled files1
Licensenot specified — check with the author
Last updatedJune 18, 2026
LinksSkill source ↗ · Repository ↗

Mozgi check

What we found in the skill files. Details come with a subscription.

Security
low risk · no obvious risks found — the full report shows the details
Compatibility
instructions only — works with most agents
Similar skills
144 similar skills found
Also with subscription

Installation

A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.

Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.

Install the “3coding-visual” skill from mozgi.io (https://mozgi.io/skills/3coding-visual/) for me.

1. Download the archive: https://mozgi.io/skills/3coding-visual/download
   If it fails, take the skill folder from the source: https://github.com/jihe520/MathModelAgent/tree/main/skills/3coding-visual
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “3coding-visual” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/3coding-visual/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

Review the source files

1 file Download Zip

Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.

SKILL.md contents

Original author text · read-only

编程实现与数据图表生成

本 skill 承接 2analysis-modeling。目标是把 reports/ANALYSIS_MODELING_REPORT.md 里的模型和算法落实为可复现程序，跑出可信结果，并生成论文中需要的数据型图表。

数学建模规范参考

如需领域判断，读取 ../_references/math_modeling_norms.md 中的“题型防错速查”“代码实现与结果”“编码阶段常见错误”和“图表与可视化”小节。该文件只作为规范知识库，不新增本阶段的固定产物。

阶段边界

  • 本阶段负责：代码、实验运行、结果、结果表、数据驱动图表。
  • 本阶段不负责：技术路线图、算法流程图、系统架构图、概念示意图。这些交给 4drawio。
  • 本阶段不写论文正文，只为 5writing 提供可信数值和图表资产。

Step 1: 代码结构

按 plan.md 中"项目目录结构"创建 code/ 和 figures/ 骨架，再开始写代码。子问题数不一定是 3，按赛题实际数量调整。

Step 2: 逐子问题实现

按子问题顺序实现，不要一次性写完不跑。

每个子问题必须完成：

1. 读取所需数据。

2. 实现模型或算法。

3. 验证约束。

4. 输出核心结果。

5. 绘制丰富的图表。

6. 在 reports/RESULTS_REPORT.md 中写清楚方法、关键数值和校验结果。

优化类问题必须先保证可行解，再优化目标值。预测类问题必须做训练/验证划分或合理误差评估。评价类问题必须说明指标方向、归一化方法和权重来源。

Step 3: 结果文件格式

AI 在实现、求解和作图过程中，必须把关键中间过程保存成数据并做好记录，例如清洗后的数据摘要、模型参数、迭代历史、约束检查、灵敏度分析过程、图表所用数据和运行日志。中间数据优先保存到 figures/ 或 code/outputs/，并在 reports/RESULTS_REPORT.md 中说明文件用途。

reports/RESULTS_REPORT.md 推荐结构：

# 计算结果

## 运行环境
## 数据读取与预处理
## 问题一结果
## 问题二结果
## 问题三结果
## 灵敏度分析
## 约束与一致性校验
## 与建模报告的一致性说明
## 可复现运行方式

所有数据和图表结果都必须出现在 reports/RESULTS_REPORT.md 中引用

Step 4: 生成数据驱动图表

根据 reports/ANALYSIS_MODELING_REPORT.md 和 reports/RESULTS_REPORT.md 规划图表，生成 PDF 到 figures/。

典型图表：

  • 预测类：真实值-预测值对比、误差分布、指标对比。
  • 优化类：收敛曲线、成本对比、资源利用率、方案前后对比。
  • 评价类：综合得分排序、雷达图、热力图、敏感性曲线。
  • 数据理解：分布图、趋势图、相关性图、箱线图。

图表要求：

  • PDF 矢量输出，适合论文。
  • 不在图内写大标题，标题交给论文 caption（Typst 的 caption: 或 LaTeX 的 \caption{}）。
  • 中文论文图表使用中文坐标轴和图例；英文论文使用英文。
  • 不生成流程图/架构图/路线图。

图表可以由主程序或独立脚本生成，不强制固定脚本名。无论采用哪种方式，都必须保存图表对应的数据来源和生成记录。

Frequently asked questions

What does the 3coding-visual skill do?

Implements mathematical models, generates reproducible code, runs solutions, verifies constraints, and creates PDF charts for reports.

How do I install 3coding-visual?

Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.

Which AI models work with 3coding-visual?

Skills are plain Markdown instructions (the Agent Skills format), so 3coding-visual works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.

Is 3coding-visual free?

The skill is published openly by jihe520. The skill itself costs nothing — you only pay your AI provider for the tokens you use. No license is specified in the repository — check the terms with the author before commercial use.

Is it safe to install skills?

A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.

How is a skill different from an MCP server or a plugin?

An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.

Related skills

All skills →
mathmodel-figure-templates Generates scientific visualizations using ready-made Python templates within the MathModel LaTeX sandbox. jihe5204.3k 6verity Validates and accepts final mathematical models, supporting Typst and LaTeX. Checks structure, references, code, and submission readiness. jihe5204.3k agent-transcript Adds a redacted agent transcript to GitHub PR or issue bodies within OpenClaw agent-created workflows. openclaw389k autoreview Automates code review using various AI models, providing structured reports and recommendations. openclaw389k to-issues Breaks a plan or PRD into independently actionable issues. mattpocock304k improve-codebase-architecture Scans a codebase for deepening opportunities and turns them into a prioritized visual report. mattpocock304k