CultureLab_Q
Community@qmakescl
CultureLab_Q provides statistical analysis, exploratory data profiling, Korean HWP document processing, and evidence-based research paper evaluation skills.
Agent Skills by CultureLab_Q
Showing 4 vetted skills indexed across 1 GitHub repositories.
qmakesclpaper-eval-report
Evaluates research papers against reporting guidelines and generates academic Word reports.
qmakescldf-basic-stats
Computes type-aware descriptive statistics and profiling reports for pandas DataFrames.
qmakesclhwpx
Read, create, edit, and convert Korean HWP and HWPX documents.
qmakesclpaper-evaluator
Evaluates research papers against international reporting guidelines and produces Markdown assessment reports.
Frequently Asked Questions About CultureLab_Q
FAQPage SchemaWhat tasks can I perform using CultureLab_Q's skills?▼
You can run mean-comparison tests (t-tests, ANOVA, post-hoc), generate descriptive statistics and EDA profiling reports from CSV/Excel/Parquet data, read, create, edit, and convert Korean HWP/HWPX documents, and evaluate research papers against PRISMA, CONSORT, STROBE, RoB 2.0, and GRADE guidelines with Word or Markdown report output.
Who are CultureLab_Q's skills designed for?▼
They target researchers, graduate students, data analysts, and academic reviewers—especially Korean-speaking users—who need statistical hypothesis testing, dataset profiling, Hancom Office document handling, or systematic research quality and risk-of-bias assessment before journal submission.
How do I use the statistical analysis skills in practice?▼
Upload a data file (CSV, Excel, or Parquet) and request analysis in natural language, such as 't-test' or '기초 통계'. The df-basic-stats skill profiles the data first, while mean-comparison-test runs normality and variance checks, the appropriate test, post-hoc analysis, effect sizes, and charts.
Are CultureLab_Q's skills free and where is the source?▼
The skills are published publicly under the qmakescl GitHub account, with the source repository at https://github.com/qmakescl/QSkills. No licensing fee or paid tier is indicated in the manifest; users can inspect and reuse the skill definitions directly from the public repository.
What inputs and dependencies do the paper evaluation skills require?▼
Provide a paper as PDF, Word, or plain text. The skill auto-identifies the study design, applies the matching guideline (PRISMA, CONSORT, STROBE, STARD, CARE, AMSTAR 2, RoB 2.0, ROBINS-I, QUADAS-2, NOS), performs GRADE certainty grading for systematic reviews, and outputs a .docx or Markdown report.