Agent Skills

Dataframely: Polars Schema & Collection Best Practices

dataframely

Guidelines and best practices for defining typed Polars schemas and collections, validating data frames, and writing tests using Dataframely.

Security Hygiene

gsd-skill-creator

Security hygiene guidelines for self-modifying agent systems: path sanitization, safe YAML handling, data poisoning checks, and staging/quarantine practices to

Cortex - ML Pipeline Builder

claude-code-plugins-plus-skills

Guided ML pipeline builder that walks an agent through data validation, feature engineering, training, evaluation, and serving endpoints for classification or r

Cortex — ML Pipeline Builder

tonone

Build a reproducible ML training-to-serving pipeline: data validation, feature engineering, training, evaluation, and a serving endpoint.

Paper Claim Audit

claude-skill-registry

Zero-context verification that every numeric claim in a paper matches raw result files; detects rounding, cherry-picking, config mismatches and scope overclaims