Agent skill · Documentation

research-expert

Expert-level research methodology, academic writing, statistical analysis, and scientific investigation

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill research-expert --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Version: 1.0.0
Allowed tools: -Read-Write-Edit
Path: skills/analysis/research-expert/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 ```python 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""" @staticmethod def two_sample_ttest(effect_size: float, alpha: float =

What's inside
Steps it walks through
  1. Core Concepts
  2. Research Design
  3. Statistical Analysis
  4. Academic Writing
  5. Experimental Design
  6. Literature Review
  7. Best Practices
  8. Data Analysis
  9. Anti-Patterns
  10. Resources
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the research-expert skill do?

Expert-level research methodology, academic writing, statistical analysis, and scientific investigation

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill research-expert --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.

Keep going