Skip to main content

RealSeaberry/AutoMCM-Pro

SkillsMP has collected 7 skills from RealSeaberry/AutoMCM-Pro. Open a skill to review its source and details.

Latest recorded source activity
SkillsMP catalog refreshed
skills collected
7
GitHub stars
224
GitHub forks
16

Skills in this repository

2 occupation categories · 43% classified

Showing 7 of 7 collected skills.

occupation
unclassified
description

AutoMCM-Pro industrial-grade math modeling agent (Codex CLI binding). Supports AP (AI-led) and Manual (human-spec-led) dual modes with mandatory GitOps checkpoints, forced self-verification of all solver code before LaTeX inclusion, and structured human…

Source text: Chinese

updated
occupation
unclassified
description

AutoMCM-Pro industrial-grade math modeling agent. Supports AP (AI-led) and Manual (human-spec-led) dual modes with mandatory GitOps checkpoints, forced self-verification of all solver code before LaTeX inclusion, and structured human cross-validation at each…

Source text: Chinese

updated
occupation
unclassified
description

AutoMCM-Pro industrial-grade math modeling agent (DeepSeek Harness binding). Supports AP (AI-led) and Manual (human-spec-led) dual modes with mandatory GitOps checkpoints, forced self-verification of all solver code before LaTeX inclusion, and structured…

Source text: Chinese

updated
occupation
unclassified
description

AutoMCM-Pro industrial-grade math modeling agent (opencode binding). Supports AP (AI-led) and Manual (human-spec-led) dual modes with mandatory GitOps checkpoints, forced self-verification of all solver code before LaTeX inclusion, and structured human…

Source text: Chinese

updated
occupation
Software Developers
description

Generate diagrams, flowcharts, and conceptual illustrations using OpenAI gpt-image-2 (default) or gpt-image-1. Use for: algorithm/code flow diagrams, system architecture sketches, conceptual illustrations, and any figure that does NOT represent actual code…

Source text: Chinese

updated
occupation
Data Scientists
description

Full-stack autonomous math modeling agent for CUMCM (全国大学生数学建模竞赛). Reads the problem statement and data, iterates through research → coding → verification → LaTeX writing, and produces a publication-quality PDF paper. Use when the user provides a CUMCM…

Source text: Chinese

updated
occupation
Data Scientists
description

Full-stack autonomous math modeling agent for MCM/ICM (美国大学生数学建模竞赛). Handles team control number, problem choice (A–F), English academic writing, mcmthesis LaTeX template, and optional practical deliverable (memo/letter/report). Use when the user provides an…

updated
Showing 7 of 7 collected skills.