Problem Parser
Parse a mathematical-modeling problem into goals, objects, data, constraints, outputs...
Install
npx skills add zhnnky329/MathModeling-skills --skill problem-parser -g -a claude-code -y- Repository
- zhnnky329/MathModeling-skills1.1k
- Category
- Engineering
- Updated
- 1mo ago
- License
- MIT
- Context cost
- Lightabout 599 tokens
- Runs scripts
- No, instructions only
What it does
Parse a mathematical-modeling problem into goals, objects, data, constraints, outputs, subquestions, dependencies, variables, relationships, and human-confirmed success criteria before any method selection.
Purpose
Produce a model-neutral problem contract. Do not start from favorite algorithms or infer missing attachments.
Inputs
- complete problem statement and attachments list;
- contest rules and required deliverables;
- user clarifications;
- existing parse when revising.
Workflow
- Record source files and missing referenced material.
- Extract the global objective and each Qx verbatim enough to preserve intent.
- For each Qx identify:
- goal;
- objects/entities;
- inputs and data;
- decisions or unknowns;
- hard and soft constraints;
- required output and format;
- evaluation/success criteria;
- dependencies on other Qx;
- uncertainty and ambiguity.
- Separate:
- statement facts;
- observations from supplied data;
- proposed relationships;
- assumptions requiring human judgment.
- If output form or success criteria are materially ambiguous, invoke one choice card. Do not choose the framing silently.
- Save:
planning/parse/problem_parse.json- an optional concise
planning/parse/problem_parse.mdonly when a human-readable view is useful.
- Update the manifest status when present.
JSON Contract
{
"schema_version": 1,
"problem_source": [],
"global_goal": "",
"objects": [],
"data_inventory": [],
"global_constraints": [],
"subquestions": [
{
"id": "Q1",
"statement": "",
"goal": "",
"inputs": [],
"unknowns_or_decisions": [],
"constraints": [],
"required_outputs": [],
"success_criteria": [],
"dependencies": [],
"proposed_relationships": [],
"ambiguities": []
}
],
"missing_material": [],
"human_decisions_needed": []
}
