Agent Skills by yuuqq
Showing 22 vetted skills indexed across 1 GitHub repositories.
chinese-social-data
Load and preprocess Chinese social science survey data into analysis-ready pandas DataFrames.
panel-data
Estimate fixed and random effects models for panel data with Hausman tests.
measurement-psychometrics
Evaluates reliability and validity of social science measurement scales using factor models and psychometrics.
causal-discovery
Infers causal DAGs, CPDAGs, or PAGs from observational data via structure learning.
conjoint-analysis
Estimate Average Marginal Component Effects from forced-choice conjoint survey data.
experimental-design
Design experiments with randomization, power analysis, and validity threat mitigations.
multilevel-models
Fit multilevel regression models with ICC diagnostics and centering strategies.
spatial-social-analysis
Compute Moran's I and fit spatial regression models on social science datasets.
discourse-analysis
Extract framing, narrative structure, and legitimation strategies from social science text.
survey-methodology
Design survey questionnaires, sampling strategies, and weighting plans.
llm-text-analysis
Convert social-science text into structured coded variables with validation.
time-series-social
Estimate stationarity, forecast dynamics, and test temporal relationships in social science time series.
social-network-analysis
Convert relational data into network measurements and models with NetworkX.
mixed-methods
Design mixed methods studies with joint displays and convergence codes.
qualitative-analysis
Guide qualitative coding, codebook construction, and thematic analysis workflows.
qca
Calibrates conditions and computes necessity/sufficiency relationships for comparative case analysis in Python workflows.
llm-social-simulation
Design and validate LLM-driven agent-based social simulations with tiered evaluation.
multiverse-analysis
Run multiverse and specification curve analyses across analytical decisions.
research-ethics
Create IRB-ready ethical documentation and privacy controls for human-subject studies.
text-as-data-social
Converts unstructured social science text into quantitative variables using topic modeling and sentiment analysis.
research-design-social
Convert social science research concepts into study designs with hypotheses and pre-analysis plans.
causal-inference
Estimate causal effects using DiD, RDD, IV, PSM, SCM, or DML with Python.