modeling-discovery

Orchestrate end-to-end modeling scheme discovery with phase gates and evidence-based ranking.

1|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/Best6668/AMIS --skill modeling-discovery
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: modeling-discovery
Source: https://github.com/Best6668/AMIS/tree/main/skills/modeling-discovery
Command: npx skills add https://github.com/Best6668/AMIS --skill modeling-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill orchestrates an end-to-end workflow to discover and validate modeling approaches for competition problems.

Core Features & Use Cases

  • End-to-end pipeline: from problem analysis to validated modeling proposals, including feasibility checks and critical reviews.
  • Configurable governance: supports budget, time, and resource constraints with automated checkpointing.
  • Use Case: Run a complete modeling discovery for a new problem and receive a ranked set of modeling options and an implementation plan.

Quick Start

Provide a problem brief to initiate Phase 1 of the modeling discovery workflow.

Frequently Asked Questions about modeling-discovery

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

FAQPage Schema
How do I automate modeling scheme discovery for competition problems?

Automated modeling scheme discovery orchestrates an end-to-end workflow from problem analysis to validated proposals. It handles multiple phases, applies feasibility checks, and outputs a ranked set of modeling options with an implementation plan.

What is the best way to validate modeling proposals for competitions?

Validating modeling proposals uses parallel verification and critical reviews within an automated pipeline. This process applies configurable phase gates, budget controls, and evidence-based ranking to ensure proposals are feasible.

Can I set budget and time constraints when running a modeling discovery workflow?

Configurable governance supports budget, time, and resource constraints during modeling discovery. The workflow applies automated checkpointing and phase gates to ensure the end-to-end pipeline respects your specified limitations.

How do I start an end-to-end modeling pipeline for a new problem brief?

To start the modeling pipeline, provide a problem brief to initiate Phase 1 of the workflow. The system then processes the brief through problem analysis, feasibility checks, and parallel verification to generate validated proposals.

Does modeling discovery work with automated phase gates and problem analysis?

Modeling discovery implements configurable phase gates to manage the transition from problem analysis to validated proposals. It integrates parallel verification and evidence-based ranking to systematically process each phase.

What are the limitations of using automated workflows for competition modeling?

Automated workflows for competition modeling require a defined problem brief to initiate Phase 1 and depend on configurable governance for budget and resource constraints, limiting execution to specified phase gates and checkpoint parameters.