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science-superpowers
science-superpowers contains 15 collected skills from K-Dense-AI, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
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
Use when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model
Use when facing 2+ independent investigations that can proceed without shared state - parallel literature survey, multi-dataset replication, or pre-specified robustness checks
Use when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents
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
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
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
Use when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility
Use after completing an analysis or before reporting a finding, to have a skeptical reviewer attack the conclusion before you believe it
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
Use when executing a pre-registered analysis plan with mostly independent steps in the current session
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
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
Use when creating new skills, editing existing skills, or verifying skills work before deployment