solve-plan

Translate a modeling approach into a subproblem-driven solve plan with methods and budgets.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Skill converts a modeling approach into a detailed, subproblem-driven solving plan, including the sequencing of tasks, required methods, and a budget for compute time and experiments.

Core Features & Use Cases

  • Phase-driven workflow from problem analysis to solution deployment, ensuring each subproblem has a concrete method and execution order.
  • Built-in guidance for sensitivity analysis, experiment planning, and resource budgeting to meet tight competition timelines.
  • Use Case: A contestant turns a modeling proposal into a step-by-step solve plan with clear milestones and evaluation criteria.

Quick Start

Ask for a detailed solve plan by saying "generate solve plan" for the current modeling task.

Frequently Asked Questions about solve-plan

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

FAQPage Schema
How do I turn a modeling approach into a concrete solve plan with subproblems?

To turn a modeling approach into a concrete solve plan, you define explicit subproblems, assign specific methods, establish execution order, and set success criteria. This structures the workflow from problem analysis through to solution rollout.

What is subproblem-driven problem-solving for experiment design?

Subproblem-driven problem-solving for experiment design breaks a modeling approach into sequenced tasks. Each subproblem receives a concrete method, execution order, and success criteria to guide the workflow from analysis to deployment.

How do I budget compute time and resources for a modeling workflow?

You budget compute time and resources for a modeling workflow by applying configurable compute and time constraints during solve plan generation. This ensures resource budgeting aligns with tight competition timelines and experiment schedules.

Can I include sensitivity analysis in a step-by-step solve plan?

Yes, you can include sensitivity analysis in a step-by-step solve plan. The planning workflow features built-in guidance for integrating sensitivity analysis and experiment planning directly into the subproblem execution sequence.

Does generating a solve plan require external dependencies or components?

Generating a solve plan does not require external dependencies or components. It operates independently to translate your modeling proposal into a structured task sequence with milestones and evaluation criteria.

What is the best way to define milestones and success criteria for modeling tasks?

The best way to define milestones and success criteria for modeling tasks is using a phase-driven workflow. This approach ensures each subproblem has a concrete method and explicit evaluation metrics before execution begins.