quantitative-analysis
You must use this when selecting statistical tests, interpreting effect sizes, or conducting power analysis.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/poemswe/co-researcher --skill quantitative-analysis- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads quantitative-analysis automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
1. Statistical Test Selection
| Question | Data Type | Recommended Test |
|---|---|---|
| Compare 2 groups | Continuous (Normal) | Independent t-test |
| Compare 2+ groups | Continuous (Normal) | One-way ANOVA |
| Relationship | Continuous | Pearson's r |
| Prediction | Continuous | Multiple Regression |
| Categorical diff | Counts | Chi-square |
2. Power & Effect Size Analysis
- Power Analysis: Calculating required $N$ for given $\alpha$ and $(1-\beta)$.
- Effect Sizes: Cohen's $d$, Pearson's $r$, $\eta^2$, Odds Ratios.
3. Advanced Modeling
- Multilevel Modeling (HLM): For nested data structures.
- Structural Equation Modeling (SEM): For latent variable analysis.
- Non-parametric alternatives: Mann-Whitney U, Wilcoxon, Kruskal-Wallis.
<output_format>
Quantitative Analysis: [Subject]
Data Audit: [Scale type] | [Normality/Assumptions check]
Statistical Findings:
- Test Used: [Name + Rationale]
- Results: [$t/F/\chi^2$ value, $df$, $p$-value]
- Effect Size: [Value + Qualitative descriptor]
- 95% Confidence Interval: [Lower, Upper]
Practical Significance: [Interpretation of findings in real-world/academic terms]
Threats to Statistical Validity: [Risk of Type I/II errors, confounding, etc.] </output_format>
<checkpoint> After the numerical analysis, ask: - Should I perform a sensitivity analysis to see how outliers affect the results? - Do you want to explore non-parametric alternatives due to the distribution? - Should I check for Multicollinearity in your regression model? </checkpoint>FAQ
What does the quantitative-analysis skill do?
You must use this when selecting statistical tests, interpreting effect sizes, or conducting power analysis.
How do I install quantitative-analysis?
Run npx skills add https://github.com/poemswe/co-researcher --skill quantitative-analysis in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/quantitative-analysis/ (personal) or .claude/skills/quantitative-analysis/ (project).
Which AI agents can use quantitative-analysis?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is quantitative-analysis safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains quantitative-analysis?
It is published by poemswe in poemswe/co-researcher. It has 274 recorded installs.
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