Manim Community Edition Best Practices
adithya-s-k/manim_skill
Index of best-practice rule files and working examples for Manim Community Edition, covering scenes, animations, LaTeX math, 3D, camera control and styling.
CUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling…
Install Mathmodel Skill
$ npx skills add handsomeZR-netizen/mathmodel-skill --skill mathmodel-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install handsomeZR-netizen/mathmodel-skill mathmodel-skill --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "mathmodel-skill" agent skill from https://github.com/handsomeZR-netizen/mathmodel-skill/tree/main into .claude/skills/mathmodel-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mathmodel-skill", 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.
$ npx skills add handsomeZR-netizen/mathmodel-skill --skill mathmodel-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install handsomeZR-netizen/mathmodel-skill mathmodel-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mathmodel-skill" agent skill from https://github.com/handsomeZR-netizen/mathmodel-skill/tree/main into .agents/skills/mathmodel-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mathmodel-skill", 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 handsomeZR-netizen/mathmodel-skill --skill mathmodel-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install handsomeZR-netizen/mathmodel-skill mathmodel-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mathmodel-skill" agent skill from https://github.com/handsomeZR-netizen/mathmodel-skill/tree/main into .cursor/skills/mathmodel-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mathmodel-skill", 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.
$ npx skills add handsomeZR-netizen/mathmodel-skill --skill mathmodel-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install handsomeZR-netizen/mathmodel-skill mathmodel-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mathmodel-skill" agent skill from https://github.com/handsomeZR-netizen/mathmodel-skill/tree/main into .gemini/skills/mathmodel-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mathmodel-skill", 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 handsomeZR-netizen/mathmodel-skill mathmodel-skillInstalls 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 handsomeZR-netizen/mathmodel-skill --skill mathmodel-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mathmodel-skill" agent skill from https://github.com/handsomeZR-netizen/mathmodel-skill/tree/main into .github/skills/mathmodel-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mathmodel-skill", 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 handsomeZR-netizen/mathmodel-skill --skill mathmodel-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install handsomeZR-netizen/mathmodel-skill mathmodel-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mathmodel-skill" agent skill from https://github.com/handsomeZR-netizen/mathmodel-skill/tree/main into .opencode/skills/mathmodel-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mathmodel-skill", 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.
Facts
- Skill name
mathmodel-skill- GitHub stars
- 292
- Token cost
- ~2.5k tokens
- SKILL.md length
- 797 words
- Files
- 125 (incl. scripts, references, assets)
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- MIT
At a glance
CUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling…
- A user explicitly works on one of these modeling contests
- SKILL.md covers Codex 原生入口, Harness 兼容 (Claude Code / Codex), 问答式优先 (Friendly Mode) and 路径解析协议 (任何阶段必读), plus 10 more sections
- Calls python
- Asks to run/review a modeling-competition paper from problem selection through modeling
What it does
Mathmodel Skill is an agent skill from handsomeZR-netizen/mathmodel-skill. CUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling, solving, robustness, writing, compliance, and final submission review. Provides 10 stages, persistent decision state, competition-specific rules/templates, deterministic scoring helpers, numbered decisions, and Codex/Claude Code handoff. Do not trigger for generic model selection, ordinary data analysis, or…
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 131 other files, including scripts, reference files and assets (for example `.codex-plugin/plugin.json`, `.github/workflows/ci.yml` and `AGENTS.md`).
It sits in Documents & Office, covering LaTeX, Peer review and Data analysis. It works with LaTeX and Python. The repository describes itself as: 三竞赛 (CUMCM/MCM/电工杯) 数学建模 skill — harness-agnostic, 同时支持 Claude Code 与 Codex CLI, 全程问答式 (Friendly Mode), 10 阶段 + 4 反馈层 + per-Qi 加权聚合 + 题型 dim 加权 + empirical 实测分位锚定. The licence is MIT.
When your agent uses it
- A user explicitly works on one of these modeling contests
- Asks to run/review a modeling-competition paper from problem selection through modeling
- Final submission review
- Generic model selection
Example prompts
- “/mathmodel-skill”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit e0e65c8. 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
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
python
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
Mathmodel Skill loads about 2.5k tokens when it runs, and up to ~40k if it reads all its reference files. Until then it costs about 138 tokens; SKILL.md has 797 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.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from handsomeZR-netizen/mathmodel-skill at commit e0e65c8, republished under its MIT licence (© handsomeZR-netizen). 797 words, ~2,508 tokens.
Download SKILL.mdSave it as
.claude/skills/mathmodel-skill/SKILL.md (or your agent's skills folder). This skill also uses 124 other files; get the full folder from GitHub.- name
- mathmodel-skill
- description
- CUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling, solving, robustness, writing, compliance, and final submission review. Provides 10 stages, persistent decision state, competition-specific rules/templates, deterministic scoring helpers, numbered decisions, and Codex/Claude Code handoff. Do not trigger for generic model selection, ordinary data analysis, or non-competition paper review.
mathmodel-skill — 数学建模三竞赛工作流 (v6.2)
10 阶段把 72–96 小时的竞赛协作变成可恢复、可检查的流程。用户回答关键问题，agent 维护状态与脚本。每阶段产出经过 rubric 自评、定向精修与跨阶段一致性回检；Stage 8–9 先遵守当届官方规则，再做多视角终审。CUMCM 包含 91 份来源文档，其中 59 份进入文本统计；MCM/电工杯经验统计明确为 n=0，不提供合成分位。
v6.2 更新: 新增 scripts/init_workspace.py（只创建、不覆盖的工作区初始化）与 scripts/status.py（只读进度看板：阶段 verdict、per-Qi、合规门、截止倒计时、模式建议与下一步）；启动与“看进度”改由脚本确定性完成。v6.1 的规则基线、AI 披露链路、fail-closed 模板与 doctor 预检保持不变。
Codex 原生入口
Codex 优先按 skill 目录发现本文件:
- 用户级安装:
$HOME/.agents/skills/mathmodel-skill/ - 项目级安装:
<repo>/.agents/skills/mathmodel-skill/ - UI 元数据:
agents/openai.yaml - 插件分发元数据:
.codex-plugin/plugin.json+skills/mathmodel-skill/SKILL.mdshim - 项目指导:
AGENTS.md仍可作为 repo / workspace 级 instructions, 但不是唯一入口
当 skill 已安装后, 用户可直接说"开始建模"或显式说"使用 $mathmodel-skill 开始建模"。
Harness 兼容 (Claude Code / Codex)
本 skill v6.2 以 Codex Skills 为一等入口, 同时保持 harness-agnostic 设计:
| harness | 入口文件 | 用户交互工具 | 状态文件 |
|---|---|---|---|
| Claude Code | SKILL.md (本文件) | AskUserQuestion 工具 | <cwd>/state/decision_log.json |
| Codex CLI / Codex app | skill 目录中的 SKILL.md + 可选 AGENTS.md | markdown 编号列表 | 同上 (互通) |
跨 harness 互通: day 1 用 Codex 跑 stage 0-2, day 2 切回 Claude Code 接着 stage 3+, 状态完全保留。详见 references/harness_compat.md。
问答式优先 (Friendly Mode)
核心原则: 用户只需回答编号问题, 不应被要求手敲 bash / python / json。
- 离散选项 (选竞赛 / 选题 / 选模型 / verdict 决策) → 必须用问答式
- 自由文本 (PDF 路径 / 截止时间) → 单行回复
- 状态读写 (decision_log.json) → agent 自动完成
- 每个 stage 的关键决策点都有 "让我决定 (推荐 X)" 兜底选项
优先使用当前 harness 可用的原生选择 UI；没有时回退到 markdown 编号列表。两者语义等价，见 references/harness_compat.md §1。
路径解析协议 (任何阶段必读)
| 类型 | 位置 | 例 |
|---|---|---|
| skill 内通用 | skill 根目录的相对路径 | references/stage_05_subproblem_loop.md, templates/shared/decision_log.json |
| 竞赛特化 | competitions/<comp>/... 按 decision_log.competition dispatch | competitions/cumcm/winning_patterns.md, competitions/mcm/abstract_template.md |
| LaTeX 模板 | templates/latex/<comp>/main.tex | templates/latex/cumcm/main.tex, templates/latex/mcm/main.tex |
| 用户产物 | 用户工作目录的相对路径 | <cwd>/state/, <cwd>/results/, <cwd>/figures/, <cwd>/paper_workspace/ |
| state 持久化 | <cwd>/state/decision_log.json | 各 stage 必读必写 |
| 环境变量 | MATHMODEL_STATE_DIR (兼容 CUMCM_STATE_DIR) / MATHMODEL_COMPETITION 可覆盖 | scripts 用此变量 |
约定: <skill>/ = skill 安装目录, <cwd>/ = 用户 cwd, <comp>/ = 当前竞赛 (cumcm | mcm | diangong)。
Quick Start (用户首次说"开始建模")
1. 一段话介绍 (≤50 字): "启动数学建模工作流, 10 阶段 + 三竞赛, 全程问答式."
2. 收集下列 5 个启动字段；用户已经提供或 state 已记录的字段不再询问，只把尚缺字段合并成一轮问答 (Claude Code: AskUserQuestion; Codex: 编号列表):
- 竞赛 (cumcm 国赛 / mcm 美赛 / diangong 电工杯, 默认 cumcm)
- 题号 (依竞赛: cumcm A-E / mcm A-F / diangong A-B; "未公布"亦可)
- 队员数 + 各人擅长 (建模/编程/写作)
- 截止时间 (ISO 字符串或 "距现在 X 小时")
- 题目 PDF 路径 ("未公布"亦可)
3. 自动初始化 (agent 自动完成, 不要让用户编辑 json):
- 运行 `python <skill>/scripts/init_workspace.py --competition <comp> --workspace <cwd>`，按已知答案追加 `--problem <题号|未公布>`、`--team-size N`、`--deadline <ISO>` 或 `--hours-left H`、`--problem-pdf <path>`
- 脚本创建 `state/ results/ figures/ paper_workspace/ paper_output/ support_materials/`，从模板生成 state 并写入 competition 与 problem_meta
- state 已存在时脚本**不修改**任何内容，只报告 competition 与 current_stage；竞赛不一致时失败，按“切到 <comp>”处理
- 脚本输出的模式建议只是建议；与用户确认后才改 mode 并写入 events
- 无法运行 Python 时，才手动复制 `<skill>/templates/shared/decision_log.json` 并写入 competition
4. 加载 `competitions/<comp>/current_rules.md`（若存在），打开其中官方链接核对当届规则并写入 compliance；再按需加载 winning patterns
5. 进入 Stage 0 (`references/stage_00_kickoff.md`), 不重复问已知字段；若题面未公布，完成环境与协作准备后保持 `qi_count=null` 并等待题面，不进入 Stage 1已有 state 触发 (用户中途回到 skill):
1. 运行 `python <skill>/scripts/status.py --workspace <cwd> --json` 取得 competition、current_stage、最新 verdict 与下一步；需要细节时再读 `<cwd>/state/decision_log.json`
2. 加载对应 stage_NN.md (按需结合 competitions/<comp>/* 内容)
3. 不重复读 winning_patterns三竞赛 × 三模式 矩阵
时长 / 语言 / 模板 / 数据状态 由 competition 决定; token 预算 / 反馈深度由 mode 决定。两者正交组合。
| Competition | 时长 | 语言 | LaTeX | 规则基线 | 经验数据状态 |
|---|---|---|---|---|---|
| cumcm | 72h | 中文 | xelatex / 原创 ctexart | CUMCM 2026 | 91 来源文档 / 59 可提取样本 |
| mcm | 96h | English | pdflatex / article | COMAP 2027 | n=0，无论文分位 |
| diangong | 72h | 中文 | xelatex / ctex | 官网 2026-03-21 页面 | n=0，无论文分位 |
| Mode | 上下文策略 | 反馈层 | 用途 |
|---|---|---|---|
| fast | 只保留当前阻断项与最小证据 | L1 单次 | 选题试跑 / sanity check |
| standard | 按阶段加载并保留决策摘要 | L1+L2 | 默认主流程 |
| championship | 在终审阶段扩展证据与独立视角 | L1+L2+L3+L4 + red-team | 提交前最后冲刺 |
模式自动推荐 (按距 deadline 剩余；scripts/status.py 按同一规则计算，仅作建议):
60h: standard (最后 6h 升 championship)
- 24-60h: standard
- 6-24h: fast 关键阶段 + championship 终审
- < 6h: 直接进 stage 9 (championship)
10 阶段索引
| # | 阶段 | reference | 时长 | 反馈 | 竞赛差异点 |
|---|---|---|---|---|---|
| 0 | 团队启动 + 资料预扫 | stage_00_kickoff.md | 1h | L1 | 时长 / 语言 / 编译器 / 题号体系 |
| 1 | 选题 (多题对比 → 1) | stage_01_problem_selection.md | 2-4h | L1 | 题号体系 (A-E/A-F/A-B) + task_type 写入 |
| 2 | 问题深度解析与分解 | stage_02_analysis.md | 2-3h | L1 | 通用 |
| 3 | 模型选型 (证据驱动的候选比较) | stage_03_model_selection.md | 2-4h | L1 + 反事实 | 通用 |
| 4 | Foundation (假设+符号+术语) | stage_04_foundation.md | 1h | L1 | 通用 |
| 5 | 递归子问题循环 Q1..Qn + per-Qi 加权聚合 | stage_05_subproblem_loop.md | 按题目分配 | L1 + 子检查点 | 从题面提取实际子问数；per-Qi 加权 |
| 6 | 全局灵敏度 / 稳健性 | stage_06_robustness.md | 2-3h | L1 + L2 | 工程参数 (diangong) vs 数学参数 (cumcm/mcm) |
| 7 | 模型评价 + 推广 | stage_07_evaluation.md | 1-2h | L1 | 通用 |
| 8 | 论文写作 + 合规装配 | stage_08_writing.md | 12-30h | L1 + L2 | 当届规则、AI 披露、摘要类型与 LaTeX 模板 |
| 9 | 提交合规 + Panel | stage_09_review.md | 2-6h | L1 + L3 panel | 页数/匿名/披露 + anti-patterns + personas |
加载协议 (节省 token 的关键)
只在进入阶段 N 时加载 references/stage_NN_*.md。切勿一次性全读。
各阶段额外加载 (按需 + 按 competition 切换):
- 每阶段开头:
<cwd>/state/decision_log.json必读 - 每阶段结尾:
<cwd>/state/decision_log.json必写 (核心决策 + 5 维评分) - stage 1-9:
references/rubrics.md对应章节 (L1 评分用) - stage 1:
competitions/<comp>/topic_specs.json(题号 → task_type 映射) - stage 3, 5:
references/model_catalog.md(跨竞赛通用) - stage 5: per-Qi 评分跑完后调
scripts/score_artifact.py --mode aggregate_qi聚合 - stage 0 / 8 / 9:
competitions/<comp>/current_rules.md存在时读取，并核对其中官方链接 - stage 8:
competitions/<comp>/{winning_patterns, phrase_bank, abstract_template, paper_skeleton}.md - stage 8 经验锚点:
competitions/<comp>/empirical.json只作评分前参考；CUMCM 为 59 份可提取样本的观察分位，MCM/电工杯为n=0占位且不得推断数值门槛 - stage 9: 先做规则合规门，再用
anti_patterns.md与rubric_overlay.json的 panel personas - 触发反馈时: 对应
references/feedback_layer*.md - harness 适配差异 (Codex 用户必读):
references/harness_compat.md
Show full SKILL.md (295 more words)Show less
收敛准则 (统一定义, 三处一致)
verdict 优先级 (从高到低):
| verdict | 触发 | 行为 |
|---|---|---|
block | issues 含 ≥1 high-severity | 暂停 skill, 用户介入 |
pass_early | raw_min ≥ 9 AND weighted_mean ≥ 9 | iter-1 早退 |
pass | raw_min ≥ 7 AND weighted_mean ≥ 8 | 进下一阶段 |
pass_with_review (stage 5) | 任 Qi mark_for_review 但加权阈值满足 | 进 stage 6, L2 必读 review_qis |
refine | 其他 | section-patch 精修, iter+=1 (cap 3) |
refine_partial (stage 5) | 任 Qi.min < 7, 其他 Qi 已 pass | 仅 refine 该 Qi, 不动其他 |
carryover | iter == 3 仍 refine | 进下一阶段, 标记由 L2 处理 |
weighted_mean = Σ(s_i × w_i) / Σ(w_i), 权重来自 config/dim_weights.json[<comp>][<task_type>] (clamp [0.7, 1.5]); task_type=default 全 1.0 等价老逻辑。
此定义在 feedback_layer1_critic.md / rubrics.md / scripts/score_artifact.py 三处必须完全一致。
状态持久化
每阶段:
- 开头: 读取
<cwd>/state/decision_log.json, 核对 current_stage 与上下文 - 结尾: 更新 stage 节点 (核心决策 + 摒弃方案 + 评分),
current_stage += 1
decision_log.json v3.1 schema 关键字段 (与 templates/shared/decision_log.json 对齐):
- root:
competition,task_type,mode,current_stage,budget,events,compliance - stage_5 扩展:
qi_count,qi_weights,qi_status - scores 扩展: 含
weighted_mean,review_qis,refine_qis(stage 5 加权聚合用)
L2 跨阶段回检 (stage 5/6/8 末尾) 读这个文件主动找冲突, 触发定向回滚: 不重做整阶段, 只针对冲突点。
上下文预算纪律
- L1 Critic 强制 JSON 输出, ~500 token/次
- 精修策略: section-level patch (
scripts/extract_diff.py), 优先只传相关 section - references/ 与 competitions/ 文件懒加载, 本 SKILL.md 主体 ≤ 6k tokens
- 阶段完成后, artifact 摘要 + 关键数据 + 路径写入 decision_log, 不在上下文保留全文
- 只有当前 harness / API 提供可靠 usage 时才记录 token 消耗；不可观测时保留为
null，不得估算成已用额度 - 上下文压力或剩余时间不足时，向用户建议从 championship → standard → fast 降级，并把确认后的 mode change 写入 events；不要声称已自动计量或静默切换
用户指令快捷
- "进入 stage N" / "重做 stage N" → 跳转
- "切到 mcm" / "切到 cumcm" / "切到 diangong" → 改 decision_log.competition (注意已有 state 兼容性)
- "升级到 championship" → 启用 L3 + L4 + red-team
- "切到 fast" → 关闭迭代
- "回退到 stage M" → 读 decision_log, 回退 current_stage 并清理 ≥M 节点
- "做 L2 回检" → 立即触发 cross-stage backtrack
- "看进度" → 运行
python <skill>/scripts/status.py --workspace <cwd> --markdown，原样展示看板与下一步 (只读，不改 state)
数据来源声明
competitions/cumcm/: 91 份来源文档，59 份成功文本提取并进入观察分位；现有提取有局限，不能解释为官方阈值或获奖预测competitions/mcm/: 规则基线已按 COMAP 2027 核对；经验模式是维护者启发，empirical 为n=0competitions/diangong/: 官网参赛规则与论文规范已于 2026-07-22 核对；经验模式是维护者启发，empirical 为n=0- 通用模型清单
references/model_catalog.md跨竞赛复用
当前 scripts/ingest_papers.py 是维护期归档工具，不能直接重建三个竞赛包的 empirical.json。新增语料前先补来源 provenance、提取 QA 与分组样本量。
与外部资源的关系
核心工作流可离线运行；当届规则与问题要求必须从官方来源重新核对。下列资源可作人工补充:
- 国赛:
personqianduixue/Math_Model,datawhalechina/intro-mathmodel,dxs.moe.gov.cn优秀论文展廊 - 美赛: COMAP 官网
comap.com,MCM Tutorial(Frank Giordano) - 电工杯: 中国电机工程学会论文集
© handsomeZR-netizen, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 124 other files (scripts, references, assets) in the repository root of handsomeZR-netizen/mathmodel-skill.
- SKILL.md
- .codex-plugin/plugin.json
- .github/workflows/ci.yml
- .gitignore
- AGENTS.md
- LICENSE
- README.md
- THIRD_PARTY_NOTICES.md
- agents/openai.yaml
- assets/banner.svg
- assets/status-demo.svg
- assets/workflow.svg
- competitions/cumcm/README.md
- competitions/cumcm/abstract_template.md
- … and 111 more
Open the folder on GitHubat commit e0e65c8
Compare with similar skills
Mathmodel Skill 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 |
|---|---|---|---|---|---|---|
| Mathmodel Skill this skillhandsomeZR-netizen/mathmodel-skill | 292 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Manim Community Edition Best Practicesadithya-s-k/manim_skill | 1.1k | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Paper Auditbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Fin Full Pipelinecsmar432/finai-research | 109 | — | ~5.1k | Automated safety check: Pass | MIT | |
| PaperjurySpark-To-Paper-Skills/paperjury | 1.2k | — | ~5.3k | Automated safety check: Pass | MIT | |
| Literature Surveyai4s-research/ai4s-skills | 237 | 2 repos | ~2k | Automated safety check: Pass | MIT |
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More from handsomeZR-netizen/mathmodel-skill
Mathmodel Skill
handsomeZR-netizen/mathmodel-skill
Plugin shim for the mathmodel-skill competition workflow. An agent skill from handsomeZR-netizen/mathmodel-skill.
Related
Questions about Mathmodel Skill
What does Mathmodel Skill do?
CUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling…. Mathmodel Skill is an agent skill from handsomeZR-netizen/mathmodel-skill. CUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling, solving, robustness, writing, compliance, and final submission review.
When should I use Mathmodel Skill?
Mathmodel Skill fits situations like: A user explicitly works on one of these modeling contests; asks to run/review a modeling-competition paper from problem selection through modeling; final submission review; generic model selection.
How do I install Mathmodel Skill in Claude Code?
Run `npx skills add handsomeZR-netizen/mathmodel-skill --skill mathmodel-skill -a claude-code`. Or copy the skill folder (the handsomeZR-netizen/mathmodel-skill repository) into .claude/skills/mathmodel-skill in your project. Claude Code loads it when a task matches its description.
How do I install Mathmodel Skill in Codex?
Run `npx skills add handsomeZR-netizen/mathmodel-skill --skill mathmodel-skill -a codex`. Or copy the skill folder (the handsomeZR-netizen/mathmodel-skill repository) into .agents/skills/mathmodel-skill in your project. Codex loads it when a task matches its description.
Can I use Mathmodel Skill 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 handsomeZR-netizen/mathmodel-skill --skill mathmodel-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mathmodel-skill, .gemini/skills/mathmodel-skill, .github/skills/mathmodel-skill and .opencode/skills/mathmodel-skill in your project.
What does Mathmodel Skill need to run?
Going by SKILL.md and its folder, Mathmodel Skill needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Mathmodel Skill 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 Mathmodel Skill 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Mathmodel Skill use?
Mathmodel Skill is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Mathmodel Skill use?
About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 37k tokens, read only when the agent opens those files.
What are the alternatives to Mathmodel Skill?
Skills that share tags, products or a category with Mathmodel Skill: Manim Community Edition Best Practices (adithya-s-k/manim_skill, 1.1k stars), Paper Audit (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Fin Full Pipeline (csmar432/finai-research, 109 stars) and Paperjury (Spark-To-Paper-Skills/paperjury, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mathmodel Skill?
handsomeZR-netizen (a GitHub user) maintains it in handsomeZR-netizen/mathmodel-skill, which has 292 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on September 26, 2026.
Source: handsomeZR-netizen/mathmodel-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.