CRAG666Community·21 Agent Skills Included

dotfiles

Scientific data analysis, machine learning, and academic writing

Runs statistical analysis, machine learning, bioinformatics, and data visualization workflows with verified, production-ready Python patterns. Searches academic databases, verifies citations, and drafts publication-grade scientific writing in English and Spanish. Eliminates guesswork with pinned library versions, leakage-safe pipelines, and reproducible analysis scripts.

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npx skills add CRAG666/dotfiles --all -g -y

Available:

Directs the agent to always apply the code-style-defaults skill's rules when generating or editing code in any project.

All Skills in This Repository (21)

Pure Emerald Level Indicators

📦 In Repo

CRAG666

polars-bio

Perform genomic interval operations on Polars DataFrames with scalable execution.

redaccion-cientifica-es

Generate and refine Spanish academic writing with formal idiomatic phrasing.

scientific-writing-en

Polish scientific-academic English prose for Q1 journal structure and phrasing.

networkx

Builds, analyzes and visualizes complex network graphs in Python using NetworkX APIs.

scikit-survival

Model censored time-to-event outcomes and predict survival risks in Python.

shap

Compute SHAP values and generate global and local explanation plots.

citation-management

Generate BibTeX citations from DOIs, PMIDs, arXiv IDs, and URLs.

markitdown

Convert common document types into Markdown for LLM ingestion.

statistical-analysis

Select statistical tests and generate APA-style results with assumption checks.

neurokit2

Computes cleaned physiological biosignals and derives metrics for ECG, EEG, EDA, RSP, EMG, EOG, PPG analysis.

scikit-bio

Compute distances, diversity metrics, and ordinations from biological sequences and trees.

python-native

Replace hand-rolled Python patterns with idiomatic standard-library equivalents.

Community

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Frequently Asked Questions

FAQPage Schema

How to install dotfiles?▼

Run `npx skills add CRAG666/dotfiles --all -g -y` in your terminal to install all skills in this collection globally.

What can I do with these scientific skills?▼

You can run statistical tests, train and evaluate machine learning models, analyze genomic and physiological data, create publication-ready figures, and search academic literature databases.

Can these skills help write a research paper?▼

Yes. The scientific-writing and redaccion-cientifica skills provide thousands of idiomatic academic phrases for every paper section, and the literature-review skill manages systematic reviews with verified citations.

Do these skills work with Claude Code and Cursor?▼

Yes. All skills follow the universal SKILL.md standard and work in Claude Code, Cursor, OpenClaw, and other compatible coding environments.

Are the analysis workflows reproducible?▼

Yes. Skills pin exact library versions, enforce leakage-safe data splitting, and bundle deterministic scripts so results can be repeated and audited.