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SkillsMP a collecté 16 skills depuis K-Dense-AI/science-superpowers. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 16 skills collectés sur 16.
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…
Langue du texte source : anglais
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
Langue du texte source : anglais
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
Langue du texte source : anglais
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Langue du texte source : anglais
Use when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility
Langue du texte source : anglais
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
Langue du texte source : anglais
Use when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model
Langue du texte source : anglais
Use when facing 2+ independent investigations that can proceed without shared state - parallel literature survey, multi-dataset replication, or pre-specified robustness checks
Langue du texte source : anglais
Use when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents
Langue du texte source : anglais
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
Langue du texte source : anglais
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
Langue du texte source : anglais
Use after completing an analysis or before reporting a finding, to have a skeptical reviewer attack the conclusion before you believe it
Langue du texte source : anglais
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
Langue du texte source : anglais
Use when executing a pre-registered analysis plan with mostly independent steps in the current session
Langue du texte source : anglais
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
Langue du texte source : anglais
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Langue du texte source : anglais