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GitHub 저장소

science-superpowers

science-superpowers에는 K-Dense-AI에서 수집한 skills 15개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
15
Stars
225
업데이트
2026-06-16
Forks
18
직업 범위
직업 카테고리 3개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

using-science-superpowers
기타 컴퓨터 관련 직업

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
기타 생명 과학자

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
기타 생명 과학자

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
기타 생명 과학자

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
기타 생명 과학자

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
기타 생명 과학자

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
기타 생명 과학자

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
기타 생명 과학자

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
기타 생물 과학자

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
기타 생물 과학자

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
기타 생물 과학자

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
기타 생물 과학자

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

2026-05-28
surveying-prior-work
기타 생물 과학자

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
기타 생물 과학자

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
기타 생물 과학자

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

2026-05-28