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final-method-explainer

Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence.

Star
1,057
许可证
MIT
最近提交
2026年9月24日

plugins/mathmodeling-skills/skills/final-method-explainer/SKILL.md

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Purpose

Explain the selected method completely without re-authoring why the human chose it.

Preconditions

  • rigor_profile is submission or writer handoff is explicitly requested.
  • Human method choice and result verdicts are recorded in qx_decisions.jsonl.
  • Approved code ran and final result/robustness evidence exists.

Sources

Use:

  • qx_method_card.md
  • qx_decisions.jsonl
  • planning/model_assumptions.md
  • planning/symbol_table.md
  • qx_code_plan.md
  • final run summary and result analysis
  • robustness summary/report

Read legacy candidate and iteration logs only for migration.

Workflow

  1. Resolve the final method and baseline from the latest non-stale human decisions.
  2. Transcribe the human's selection rationale faithfully and cite its decision_id.
  3. Explain:
    • goal and scope;
    • assumptions, including human-confirmed necessity labels;
    • symbols and units;
    • mathematical formulation;
    • inputs, outputs, objective/criteria, and constraints;
    • solution procedure;
    • baseline and why it is valid;
    • fallback trigger and whether it fired;
    • validation, robustness, limitations, and applicable range.
  4. Ensure formulas match code and symbol table.
  5. Save methods/Qx/qx_final_method_explanation.md.

Rules

  • Do not infer the chosen method from best metrics.
  • Do not invent the why-this-method narrative.
  • Do not create a new pending decision artifact.
  • Do not restate a long iteration diary; include only material eliminated alternatives and evidence.
  • Do not include unsupported numerical claims.

Verification

  • Final method and rationale trace to decision IDs.
  • Assumptions, symbols, formulas, units, and code agree.
  • Baseline is usable rather than merely diagnostic.
  • Risks, fallback behavior, and limitations are explicit.
  • The explanation is self-contained enough for the writer.

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