statistical-analysis-advisor
Recommend appropriate statistical tests (T-test, ANOVA, Mann-Whitney, etc.) based on data type, distribution, sample size, and research design.
npx skills add majiayu000/claude-skill-registry --skill statistical-analysis-advisor-aipoch-medical-research-ski --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.
# Statistical Analysis Advisor Intelligent statistical test recommendation engine that guides users through selecting the right statistical methods for their data and research design. ## Quick Check ```bash python -m py_compile scripts/main.py python scripts/main.py ``` ## When to Use - Choosing between parametric and non-parametric tests - Selecting the right test for 2-group vs multi-group comparisons - Checking statistical assumptions before analysis - Power analysis and sample size planning ## Usage ```python from scripts.main import StatisticalAdvisor advisor = StatisticalAdvisor() recommendation = advisor.recommend_test( data_type="continuous", groups=2, independent=True, distribution="normal" ) ``` ## Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | `data_type` | str | "continuous", "categorical", "ordinal" | | `groups` | int | Number of groups/comparison levels | | `independent` | bool | Independent or paired/related samples | | `distribution` | str | "normal", "non-normal", "unknown" | | `sample_size` | int | Current or planned sample size | ## Capabilities 1. **Test Selection** — T-test, ANOVA, Chi-square, Mann-Whitney, Kruskal-Wall
- Quick Check
- When to Use
- Usage
- Input Parameters
- Capabilities
- Workflow
- Fallback Template
- Limitations
- Output Requirements
- Error Handling
- Input Validation
- Response Template
- References
- Prerequisites
python -m py_compile scripts/main.py python scripts/main.py pip install -r requirements.txt
What does the statistical-analysis-advisor skill do?
Recommend appropriate statistical tests (T-test, ANOVA, Mann-Whitney, etc.) based on data type, distribution, sample size, and research design.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill statistical-analysis-advisor-aipoch-medical-research-ski --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 majiayu000/claude-skill-registry, a repository with 534 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.