framing-research-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
npx skills add K-Dense-AI/science-superpowers --skill framing-research-questions --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Framing Research Questions Into Investigations Help turn a fuzzy research interest into a precise, falsifiable question with explicit hypotheses, the data required, and what would count as an answer — through natural collaborative dialogue. Start by understanding the context (the data on hand, the domain, what your human partner already knows), then ask questions one at a time to sharpen the interest. Once you understand what is being investigated, present the framing and get approval. <HARD-GATE> Do NOT load the dataset, compute any statistic, fit any model, plot any outcome, or invoke any execution skill until you have presented a research framing and your human partner has approved it. This applies to EVERY investigation regardless of perceived simplicity. **Why this gate is strict for science specifically:** Looking at outcomes before the question and predictions are fixed contaminates a confirmatory analysis. Once you have seen the data, you cannot un-see it, and every later choice (which test, which subgroup, which cutoff) becomes suspect. Framing first is what keeps a result confirmatory rather than a story told after the fact. </HARD-GATE> ## Anti-Pattern: "This Is Too Si
- Anti-Pattern: "This Is Too Simple To Need Framing"
- Checklist
- Process Flow
- The Process
- After the Framing
- Key Principles
What does the framing-research-questions skill do?
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
How do I install it?
Run `npx skills add K-Dense-AI/science-superpowers --skill framing-research-questions --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From K-Dense-AI/science-superpowers, a repository with 280 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.