Individual skill
model-code-analyzer
Translate a human-approved main method and usable baseline into a minimal language-neutral implementation and experiment contract. Use after G2.5 and data readiness, before Python or MATLAB code generation.
plugins/mathmodeling-skills/skills/model-code-analyzer/SKILL.md
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# Purpose
Define exactly what code must implement and save. Do not expand the approved experiment scope or fully plan a dormant fallback.
# Preconditions
- `methods/Qx/qx_method_card.md` and probe summary exist.
- `methods/Qx/qx_decisions.jsonl` contains a human `DECIDED` method choice.
- A usable baseline is identified.
- Cleaned data and `data_profile.json` are ready when data is required.
- Implementation target and round are known.
Read legacy candidate/decision artifacts only when the new artifacts are absent.
