Diego Aguilar
Community@crag666
A person without passions is a person who is dead in life, my great passion is to learn. I like to program, I am an enthusiast and a Linux user, I consider that
Agent Skills by Diego Aguilar
Showing 21 vetted skills indexed across 1 GitHub repositories.
CRAG666polars-bio
Perform genomic interval operations on Polars DataFrames with scalable execution.
CRAG666redaccion-cientifica-es
Generate and refine Spanish academic writing with formal idiomatic phrasing.
CRAG666scientific-writing-en
Polish scientific-academic English prose for Q1 journal structure and phrasing.
CRAG666networkx
Builds, analyzes and visualizes complex network graphs in Python using NetworkX APIs.
CRAG666scikit-survival
Model censored time-to-event outcomes and predict survival risks in Python.
CRAG666shap
Compute SHAP values and generate global and local explanation plots.
CRAG666citation-management
Generate BibTeX citations from DOIs, PMIDs, arXiv IDs, and URLs.
CRAG666markitdown
Convert common document types into Markdown for LLM ingestion.
CRAG666statistical-analysis
Select statistical tests and generate APA-style results with assumption checks.
CRAG666neurokit2
Computes cleaned physiological biosignals and derives metrics for ECG, EEG, EDA, RSP, EMG, EOG, PPG analysis.
CRAG666scikit-bio
Compute distances, diversity metrics, and ordinations from biological sequences and trees.
CRAG666python-native
Replace hand-rolled Python patterns with idiomatic standard-library equivalents.
CRAG666latex-posters
Create LaTeX research posters with beamerposter, tikzposter, or baposter under layout and overflow constraints.
CRAG666ml-science-discipline
Enforce rigorous ML experimental design with leakage controls and publication-standard reporting.
CRAG666senior-dev-principles
Guide senior-level design, refactoring, and implementation decisions for non-trivial code.
CRAG666matplotlib
Generate static, animated, and interactive plots from Python data with matplotlib.
CRAG666aeon
Train scikit-learn compatible time series models for classification, forecasting, and anomaly detection.
CRAG666polars
Migrates pandas-style data analysis to Polars expressions with eager or lazy execution.
CRAG666optimize-for-gpu
Map CPU-bound Python workloads to NVIDIA GPU libraries like CuPy and cuDF.
CRAG666scikit-learn
Train and evaluate scikit-learn classification and regression models on structured data.
CRAG666skill-creator
Create and refine Claude skills with SKILL.md evaluation and benchmarking.