d3-visualization-guide
Guide to D3.js for building custom interactive data visualizations
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Development skills
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
data-cleaning-pipeline
Systematic data cleaning workflows for research datasets
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data-collection-automation
Automate survey deployment, data collection, and pipeline management
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dl-transformer-finetune
Build transformer fine-tuning plans for classification and generation
2.87k repo starsObserved in 4 repos
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keras-deep-learning
Build and debug deep learning models with Keras and TensorFlow backend
2.87k repo starsObserved in 4 repos
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plotly-interactive-guide
Guide to Plotly.py for interactive scientific visualizations in Python
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pytorch-guide
Avoid common PyTorch mistakes and apply robust training patterns
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pytorch-lightning-guide
PyTorch Lightning framework for scalable model training and research
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stata-accounting-research
STATA code pattern library for empirical archival accounting research. Provides tested syntax from 126 peer-reviewed JAR (Journal of Accounting Research) replication files (2017-2025). Use when the user asks procedural questions like "How do I implement [method]?" or "Show me code for [technique]" — including: entropy balancing, propensity score matching (PSM), difference-in-differences (DiD), regression discontinuity (RDD), instrumental variables (IV), event studies (CAR/BHAR), survival analysis, Fama-MacBeth regressions, bootstrap, quantile regression, reghdfe/xtreg/areg, clustering standard errors, fixed effects, esttab/outreg2 table formatting, winsorization, leads/lags. Users can specify their variables (e.g., treatment, outcomes, controls) and receive adapted syntax. NOTE: This skill provides code patterns from published papers, not research design advice.
2.87k repo starsObserved in 4 repos
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symbolic-computation-guide
Computer algebra systems: SymPy, SageMath, and Mathematica for research
2.87k repo starsObserved in 4 repos
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