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SkillsMP ha recopilado 16 skills de K-Dense-AI/science-superpowers. Abre una skill para revisar su origen y sus detalles.
Mostrando 16 de 16 skills recopiladas.
Use when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested cluster job - or when whether the work can run at all is still unknown, when a…
Idioma del texto original: inglés
You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any outcome data is touched
Idioma del texto original: inglés
Use before running any confirmatory analysis or looking at outcome data, when testing a hypothesis, computing a p-value, or about to claim an effect - locks predictions and decision rules before results are seen
Idioma del texto original: inglés
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Idioma del texto original: inglés
Use when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility
Idioma del texto original: inglés
Use when about to claim a result, effect, significance, or that an analysis reproduces, before reporting or writing it up - requires running the analysis fresh and reading the actual output first; evidence before claims always
Idioma del texto original: inglés
Use when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model
Idioma del texto original: inglés
Use when facing 2+ independent investigations that can proceed without shared state - parallel literature survey, multi-dataset replication, or pre-specified robustness checks
Idioma del texto original: inglés
Use when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents
Idioma del texto original: inglés
Use when a result is surprising, impossible, contradicts a sanity check, a pipeline fails, a model won't converge, or a replication fails - before adjusting anything
Idioma del texto original: inglés
Use when receiving critical feedback on an analysis or manuscript, before implementing suggestions, especially if feedback seems unclear or methodologically questionable - requires verification, not performative agreement or blind changes
Idioma del texto original: inglés
Use after completing an analysis or before reporting a finding, to have a skeptical reviewer attack the conclusion before you believe it
Idioma del texto original: inglés
Use when starting analysis work that needs isolation, or before executing a pre-registered plan - ensures an isolated, reproducible workspace with pinned environment, fixed seeds, and immutable raw data
Idioma del texto original: inglés
Use when executing a pre-registered analysis plan with mostly independent steps in the current session
Idioma del texto original: inglés
Use after framing a question and before designing an analysis, or when choosing a method, judging whether a result is novel, or needing a prior effect size for a power calculation
Idioma del texto original: inglés
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Idioma del texto original: inglés