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atomicstrata
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atomicstrata

عرض على مستوى المستودعات لـ 15 skills مجمعة عبر 3 مستودعات GitHub.

skills مجمعة
15
مستودعات
3
محدث
2026-07-02
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المستودعات و skills الممثلة

research-question
علماء الأحياء، جميع الآخرون

Use when a research idea, vague comparison, or surprising observation must be turned into a falsifiable, prereg-ready hypothesis before any benchmark, eval, training, or judge-backed work begins.

2026-06-04
using-epistemic
علماء الأحياء، جميع الآخرون

Use when starting a research, eval, benchmark, or empirical comparison session - explains how to activate Epistemic skills, choose stage skills, and enforce research gates before any experiment work.

2026-06-04
epistemic
علماء الأحياء، جميع الآخرون

Use when starting or continuing empirical/ML research, evals, benchmarks, or any "is X better than Y?" claim — the umbrella mechanism that enforces hypothesis → preregistration → baseline → experiment → statistical rigor → falsification → kill-or-ship → verification, with gates you self-enforce.

2026-06-02
baseline-reproduction
مطوّرو البرمجيات

Use when a claim, result, or draft compares your system against an external baseline, published paper number, or competitor result and you need a sourced local reproduction before quoting it.

2026-05-31
experiment-execution
مطوّرو البرمجيات

Use when a preregistered hypothesis is ready to run and you must generate provisional evidence under the locked method without contaminating headline outputs.

2026-05-31
kill-or-ship
متخصصو إدارة المشاريع

Use when a hypothesis has reached a real decision point and you must choose KILL, PIVOT, RECOMMIT, REFINE, or SHIP from repository evidence.

2026-05-31
preregistration
مطوّرو البرمجيات

Use when a hypothesis is concrete enough to freeze the experiment contract, lock the judge and compute environment, and scaffold the run before any experiment-shaped command executes.

2026-05-31
statistical-rigor
مطوّرو البرمجيات

Use when completed experiment outputs exist in `experiments/{id}/smokes/` and the agent must decide whether an inferential claim is statistically defensible before falsification review or promotion.

2026-05-31
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