framing-research-questions
From the author
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
Install
npx skills add K-Dense-AI/science-superpowers --skill framing-research-questions -a claude-code
Installs to .claude/skills/framing-research-questions/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
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Why 78
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Similar skills
Closest to this one by what they do and when they are used.
- designing-the-analysisK-Dense-AI/science-superpowersUse when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any modelScience★ 364
- surveying-prior-workK-Dense-AI/science-superpowersUse 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 calculationOther★ 364
- deep-researchnahid-sparktales/agent-dispatcherInvestigate an open question properly — frame it as a decision, work from primary sources, sweep from several angles including the disconfirming one, and stop on a rule rather than on fatigue. Use when a question's answer will change what gets built or bought, when the material is unfamiliar or contested, or when someone asks for a recommendation with evidence behind it. Not for looking up a single fact you can confirm in one place, not for mapping the local codebase, and not for judging one source in isolation.Science★ 59
- researchOyadotAI/oya-browserThis skill should be used when researching a technical question, checking current API facts, comparing documented capabilities, or gathering primary-source evidence for a decision.Science★ 351
- preregistering-analysisK-Dense-AI/science-superpowersUse 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 seenTesting★ 364
- data-analysisseb1n/awesome-ai-agent-skillsAnalyze datasets to answer defined questions through statistical methods, trend identification, hypothesis testing, and correlation analysis. Use when the user needs evidence-backed findings or decisions from data; use exploratory-data-analysis instead for open-ended first-pass profiling before questions are defined.Data★ 232
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