math-modeling-pipeline/phase-1.5

Select 3-5 solution paths from 36 brainstorm directions with citations.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/SOGERSEN/math-modeling-pipeline --skill math-modeling-pipeline-phase-1-5
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: math-modeling-pipeline/phase-1.5
Source: https://github.com/SOGERSEN/math-modeling-pipeline/tree/main/phases/phase-1.5
Command: npx skills add https://github.com/SOGERSEN/math-modeling-pipeline --skill math-modeling-pipeline-phase-1-5

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Phase 1.5 facilitates the selection of 3-5 optimal brainstorming directions from a pool of 36 candidate directions, grounded in full review of raw reports.

Core Features & Use Cases

  • Comprehensive review: requires reading all six raw brainstorm reports to extract rationale for each selected path.
  • Structured selection: outputs Top 3-5 pathways with justification and source provenance.
  • Downstream readiness: supports Phase 2 research prep and Phase 3 modeling notes.

Quick Start

Provide the 3-5 best pathways with justification based on all six raw brainstorm reports.

Frequently Asked Questions about math-modeling-pipeline/phase-1.5

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

FAQPage Schema
How do I select the best brainstorm paths from multiple raw reports?

To select optimal brainstorm paths, identify 3-5 best solution directions by thoroughly reviewing all raw reports, ensuring each path is supported by explicit citations and covers diverse approaches.

What is the best way to justify brainstorm path selection for decision support?

Justifying brainstorm path selection requires extracting explicit rationale from the original raw brainstorm reports to demonstrate the feasibility and novelty of each path.

How many brainstorm directions can I evaluate using structured path selection?

Structured path selection evaluates 36 brainstorm directions from raw reports to extract the top 3-5 pathways with source provenance for downstream modeling preparation.

Can I skip brainstorm paths that lack provenance for mathematical modeling?

You should skip paths lacking provenance; if a path's feasibility or novelty cannot be adequately demonstrated from the raw reports, it must not be selected.

Does path selection for mathematical modeling require reading all brainstorm reports?

Comprehensive path selection requires reading all raw brainstorm reports to ensure selected pathways cover diverse methodological approaches and cite original sources.