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K-Dense-AI/science-superpowers

SkillsMP has collected 16 skills from K-Dense-AI/science-superpowers. Open a skill to review its source and details.

Latest recorded source activity
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skills collected
16
GitHub stars
290
GitHub forks
28

Showing 16 of 16 collected skills.

occupation
Software Developers
description

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…

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occupation
Data Scientists
description

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

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occupation
Data Scientists
description

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

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occupation
Computer Occupations, All Other
description

Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

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occupation
Biological Scientists, All Other
description

Use when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility

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occupation
Biological Scientists, All Other
description

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

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occupation
Life Scientists, All Other
description

Use when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model

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occupation
Life Scientists, All Other
description

Use when facing 2+ independent investigations that can proceed without shared state - parallel literature survey, multi-dataset replication, or pre-specified robustness checks

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occupation
Life Scientists, All Other
description

Use when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents

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occupation
Life Scientists, All Other
description

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

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occupation
Life Scientists, All Other
description

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

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occupation
Biological Scientists, All Other
description

Use after completing an analysis or before reporting a finding, to have a skeptical reviewer attack the conclusion before you believe it

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occupation
Biological Scientists, All Other
description

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

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occupation
Biological Scientists, All Other
description

Use when executing a pre-registered analysis plan with mostly independent steps in the current session

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occupation
Biological Scientists, All Other
description

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

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occupation
Biological Scientists, All Other
description

Use when creating new skills, editing existing skills, or verifying skills work before deployment

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Showing 16 of 16 collected skills.