workflow-orchestrator

Coordinates gate-driven workflows across modeling-contest stages from parsing to QA.

452|24|Updated Apr 26, 2026

Search Tags:#workflow #audit #orchestrator #gate-based #modeling-contest

Ready to run

npx skills add https://github.com/zhnnky329/MathModeling-skills --skill workflow-orchestrator-zhnnky329

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: workflow-orchestrator
Source: https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/workflow-orchestrator
Command: npx skills add https://github.com/zhnnky329/MathModeling-skills --skill workflow-orchestrator-zhnnky329

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate the full mathematical modeling contest workflow from problem intake to final QA, using a gate-driven scheduler that ensures all artifacts are complete, consistent, and properly gated before advancing.

Core Features & Use Cases

Gate-driven scheduling: inspects project state, tracks per-question progress, evaluates gates, routes to auditors, and chooses the next skill.
End-to-end workflow orchestration: coordinates parsing, classification, method selection, code generation, results, robustness checks, and final paper preparation without solving models directly.
Human-gate governance: enforces human decision points (e.g., method choice, result freeze) to keep AI assistance as a supporting role and protect modeling judgment.

Quick Start

Start a new modeling task and run the orchestrator to assess current state and guide the next required skill.

Frequently Asked Questions about workflow-orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I coordinate a math modeling contest workflow end to end?▼

Modeling contest workflow coordination is handled by a gate-driven scheduler that evaluates artifact gates and routes to specific skills for parsing, classification, code generation, and paper preparation. It tracks progress across subquestions without solving models directly.

What is a gate-driven orchestrator for mathematical modeling?▼

A gate-driven orchestrator for mathematical modeling enforces artifact gates G1-G6 and human decision points to prevent drift. It evaluates project state, routes to auditors for consistency, and ensures accountability across the entire workflow.

How do I enforce human decision points during AI-assisted modeling?▼

Human decision points during AI-assisted modeling are enforced through explicit gates for method choice and result freeze. This governance keeps AI as a supporting role, tracks state, and protects modeling judgment by requiring manual approval before advancing.

Can I automate problem parsing and code generation for modeling contests?▼

Problem parsing and code generation for modeling contests are automated through skill routing based on state tracking. The orchestrator coordinates these stages sequentially, applying auditors for completeness and quality before advancing to results and final paper preparation.

Does the workflow orchestrator solve mathematical models directly?▼

The workflow orchestrator does not solve mathematical models directly. It coordinates end-to-end tasks like method selection, code generation, and robustness checks by evaluating gates and routing to appropriate skills while enforcing human governance.

How do I track progress and ensure traceability across modeling subquestions?▼

Progress tracking and traceability across modeling subquestions are maintained via a central dashboard and explicit state tracking. The orchestrator evaluates artifact gates G1-G6, applies auditors for consistency, and routes to the next required skill based on project state.