
Research Expert
This is a solid implementation for anyone doing quantitative research or academic work. It handles the statistical fundamentals you actually need: sample size calculations for power analysis, multiple randomization schemes for experimental design, and the standard hypothesis tests with effect sizes built in. The code includes things like block and stratified randomization, multiple testing corrections, and proper effect size calculations like Cohen's d and Hedges' g. It's Python heavy with scipy and statsmodels, so you'll want those dependencies ready. Best for researchers who need to design experiments, analyze results, or understand statistical approaches rather than just run black box tests. The structure is clear enough that you can adapt the methods to your specific research context.
- skills.sh installs
- 253
- GitHub stars
- 44
- last updated
- Aug 21, 2026
Install
$ npx -y skills add personamanagmentlayer/pcl --skill research-expert --agent claude-codeInstalls into .claude/skills of the current project.
Files
Research Methodology Expert
Expert guidance for research methodology, experimental design, statistical analysis, and academic writing.
Core Concepts
Research Design
- Experimental vs observational studies
- Randomized controlled trials (RCTs)
- Cross-sectional, longitudinal, cohort studies
- Case-control studies
- Systematic reviews and meta-analysis
- Sample size determination
Statistical Analysis
- Descriptive statistics
- Hypothesis testing
- Confidence intervals
- Regression analysis
- ANOVA and t-tests
- Non-parametric tests
- Multiple testing correction
Academic Writing
- Literature review
- Research proposals
- Manuscript structure (IMR AD)
- Citation management
- Peer review process
- Publishing ethics
Experimental Design
from dataclasses import dataclass
from typing import List, Optional
import numpy as np
from scipy import stats
@dataclass
class Study:
name: str
design_type: str # 'RCT', 'observational', 'cohort'
sample_size: int
groups: List[str]
primary_outcome: str
secondary_outcomes: List[str]
class SampleSizeCalculator:
"""Calculate required sample size for studies"""
Sponsors
Details
- Repository
- github.com/personamanagmentlayer/pcl
- Categories
- Documentation, Data Science & ML
- First seen
- Jun 3, 2026
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