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GitHub リポジトリ

science-superpowers

science-superpowers には K-Dense-AI から収集した 15 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。

収集済み skills
15
Stars
225
更新
2026-06-16
Forks
18
職業カバレッジ
3 件の職業カテゴリ · 100% 分類済み
リポジトリエクスプローラー

このリポジトリの skills

using-science-superpowers
その他コンピュータ職

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

2026-06-16
framing-research-questions
その他の生命科学者

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

2026-05-29
designing-the-analysis
その他の生命科学者

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

2026-05-28
dispatching-parallel-investigations
その他の生命科学者

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

2026-05-28
executing-analysis
その他の生命科学者

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

2026-05-28
investigating-anomalous-results
その他の生命科学者

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

2026-05-28
preregistering-analysis
その他の生命科学者

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

2026-05-28
receiving-critical-review
その他の生命科学者

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

2026-05-28
reporting-and-archiving-findings
その他の生物科学者

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

2026-05-28
requesting-red-team-review
その他の生物科学者

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

2026-05-28
setting-up-reproducible-analysis
その他の生物科学者

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

2026-05-28
subagent-driven-analysis
その他の生物科学者

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

2026-05-28
surveying-prior-work
その他の生物科学者

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

2026-05-28
verifying-results-before-claiming
その他の生物科学者

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

2026-05-28
writing-science-skills
その他の生物科学者

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

2026-05-28