Use when a chromosome modeling hypothesis needs fitting targets, orthogonal validation, and perturbation logic before simulation or interpretation.
Translate a chromosome modeling hypothesis into an evidence plan that can support or falsify it. The core rule is Avoid Circularity: one data family should not silently serve as both parameter fit target and proof of correctness.
The second rule is to resolve mechanistic ambiguity rather than decorate it. When competing mechanisms remain plausible, choose observables that break degeneracy instead of adding more of the same static evidence.
This skill has a strict stage boundary at validation planning. Stay inside fit/validation separation, degeneracy-breakers, dynamic diagnostics, perturbations, and interpretation risks. Do not produce software or engine recommendation content in the same response.
Do not use this skill to decide the underlying mechanisms from scratch or to build the physical model itself. Start from an explicit hypothesis or a small set of competing hypotheses, and only handoff downstream after the validation plan is explicitly confirmed.
Fitting Observables used to set model parameters.Orthogonal Validation targets that come from a different observable family.Degeneracy-Breakers that distinguish competing mechanisms rather than merely refining fit quality.dynamic diagnostics such as FRAP, MSD, turnover, or recovery behavior when static observables are insufficient.In Silico Perturbations that remove or weaken the suspected mechanism and predict a measurable response.one multiple-choice question per message when one unresolved measurement choice still blocks the plan.confirmation gate or explicit stop condition before any downstream handoff.validation-plan end node unless explicit simulation framing is the active task.Fitting Observables explicitly before proposing validation.Orthogonal Validation in a different observable family.Degeneracy-Breakers.2-4 options plus Other when clarification is still active.Degeneracy-Breakers, dynamic diagnostics, and In Silico Perturbations.validation-plan end node when no explicit downstream handoff is requested.simulation-recommender.stage completeness: are fit targets, orthogonal validation, perturbations, and risks all present?circular reuse: did any observable family silently serve as both fit and proof?degeneracy coverage: do the chosen observables actually separate the competing mechanisms?dynamic adequacy: were FRAP, MSD, or other time-resolved diagnostics added when needed?stage boundary: did the response stay inside validation planning instead of leaking software framing?handoff readiness: is the plan strong enough to support computational framing?question format: did clarification stay in multiple-choice form unless forced otherwise?end-node discipline: did the skill stop at the validation-plan end node when the stage was complete?When clarification is still active, use one multiple-choice question per message.
Default question format:
2-4 concrete options.Other as the final option.Every response should use the following structure.
| Situation | Required response |
|---|---|
| Bulk Hi-C is used to fit interaction strength | Add Orthogonal Validation from FISH distances, single-cell variation, or another non-Hi-C observable |
| Two mechanisms make similar static domains | Add Degeneracy-Breakers and dynamic diagnostics rather than more static contact summaries |
| Need to distinguish liquid-like from gel-like clustering | Use FRAP-style recovery logic, MSD, or related mobility measures |
| User only has one observational modality | Mark the circularity risk explicitly under Interpretation Risks |
| Mechanism should fail under depletion or removal | Add In Silico Perturbations that simulate knockout, weakening, or loss of the active ingredient |
Avoid Circularity.Degeneracy-Breakers.