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feat(methodologies): add task, error, interaction, and variability analysis - #1

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feat/task-human-factors-methods
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feat(methodologies): add task, error, interaction, and variability analysis#1
raphaelmarra wants to merge 1 commit into
mainfrom
feat/task-human-factors-methods

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Task analysis currently appears as a generic entry, leaving the choice between task structure, expert cognition, error prediction, interaction timing, and functional variability underspecified.

Add actionable canonical cards for HTA, CTA, SHERPA, GOMS/KLM, and FRAM. Keep HTA/CTA/SHERPA in human factors, GOMS/KLM in UX, and FRAM in safety/systems; connect training and interface uses through explicit routing. Each card states prerequisites, procedure, outputs, failure modes, source consultation, and evidence limits. Add optional compositions, selection scenarios, and an ownership ADR.

The cards distinguish ordinal error judgments from calibrated probabilities, modeled practiced execution from learning or measured outcomes, and potential functional couplings from event instantiations. They do not claim that a model or worksheet proves safety or effectiveness.

Validation: python tools/validate_repository.py passed for all 39 catalogs; git diff --check passed. Native skill validation, local links/anchors, distribution fragments, and fresh Codex skill discovery passed. Selection scenarios define future behavioral evaluation expectations; no model benchmark or participant study was executed.

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